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July 1999

InfoObjects, InfoSources, InfoCubes, and Queries are subject tochange without prior notice.

SAP AG

Neurottstr. 16D-69190 Walldorf



July 1999 Documentation of InfoCubes and Queries BW 1.2B

Copyright © 1999 by SAP AG. All rights reserved.

This document may not be distributed or reproduced in whole or in part for any purpose or in any form what-soever without the express written permission of SAP AG.

SAP AG reserves the right to amend or supplement any or all of the information in this document withoutprior notice.




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1.1.1 FI-AR Accounts Receivable................................................................................................................... 12

1.1.1.1 InfoCube: 0FIAR_C01 - FIAR: Line items ..................................................................................... 121.1.1.2 InfoCube: 0FIAR_C02 FIAR: Summary Values ............................................................................ 14

1.1.1.2.1 Query: 0FIAR_C02_Q0001 – Accounts Receivable: DSO Analysis, current period..................... 15

1.1.2 FI-AP Accounts Payable........................................................................................................................ 15

1.1.2.1 InfoCube: 0FIAP_C01 - FIAP: Line items...................................................................................... 15

1.1.2.2 InfoCube: 0FIAP_C02 - FIAP: Summary Values...........................................................................17

1.1.2.2.1 Query: 0FIAP_C02_Q0001 – Accounts Payable: Overview (Summary Values) .......................... 18

1.1.3 FI-AA Asset Accounting......................................................................................................................... 19

1.1.3.1 InfoCube: 0FIAA_C01: Annual Values .......................................................................................... 19

1.1.3.1.1 Query: 0FIAA_C01_Q001 Asset List.............................................................................................21

1.1.3.1.2 Query: 0FIAA_C01_Q002 Value Comparison Between Depreciation Areas................................ 221.1.3.2 InfoCube: 0FIAA_C02: Period Values........................................................................................... 23

1.1.3.3 InfoCube: 0FIAA_C03: Transactions............................................................................................. 24

1.1.3.3.1 Query: 0FIAA_C03_Q001 Asset Acquisitions ............................................................................... 26

1.1.3.3.2 Query: 0FIAA_C03_Q002 Asset Acquisitions on Quarterly Basis ................................................ 27

1.1.3.4 InfoCube: 0FIAA_C04: Annual Values and Transactions ............................................................. 28

1.1.3.4.1 Query: 0FIAA_C04_Q001 Asset History Sheet (for APC) ............................................................ 31

1.1.3.4.2 Query: 0FIAA_C04_Q002 Asset History Sheet (for Depreciation)................................................ 31

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1.2.1 TR-CM Cash Management.................................................................................................................... 33

1.2.1.1 InfoCube: 0TR_CM_C01: Planned Amounts ................................................................................ 33

1.2.1.1.1 Query: 0TR-CM-TFS-1 Cash Position by Day / Currency............................................................. 34

1.2.1.1.2 Query: 0TR-CM-TFS-2 Cash Position by Currency / Day............................................................. 34

1.2.1.1.3 Query: 0TR-CM-LIQ-1 Liquidity Forecast by Day / Currency........................................................ 35

1.2.1.1.4 Query: 0TR-CM-LIQ-2 Liquidity Forecast by Currency / Day........................................................ 35

1.2.1.1.5 Query: 0TR-CM-1 Planned Amount by Day / Currency ................................................................ 36

1.2.1.1.6 Query: 0TR-CM-2 Planned Amount by Currency / Day ................................................................ 36

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1.3.1 CO-OM Overhead Cost Controlling....................................................................................................... 38

1.3.1.1 Infocube: 0COOM_C01: Costs and Allocations ............................................................................ 38

1.3.1.1.1 Query: 0COOM_C01_Q0001: Cost Center: Orders Plan/Actual/Variance................................... 39

1.3.2 CO-OM-CCA Cost Center Accounting................................................................................................... 40

1.3.2.1 Infocube: 0CCA_C01: Costs and Allocations (Full Costs) ............................................................ 40

1.3.2.1.1 Query: 0CCA_C01_Q0005: Cost center: Plan/Actual/Variance.................................................... 42

1.3.2.1.2 Query: 0CCA_C01_Q0001: Cost center: Plan/Actual/Variance current/cumulated Period.......... 42

1.3.2.2 Infocube: 0CCA_C02: Costs and Allocations (Marginal Costs) .................................................... 43

1.3.2.2.1 Query: 0CCA_C02_Q0003: Cost center: Target/Actual/Variance ................................................ 45

1.3.2.3 Infocube: 0CCA_C03: Statistical Key figures................................................................................46

1.3.2.3.1 Query: 0CCA_C03_Q0001: Cost center: Statistical Key figures Plan/Actual/ Variance............... 47

1.3.3 CO-OM-ABC Activity-Based Costing.....................................................................................................48

1.3.3.1 InfoCube: 0ABC_C01, Activity-Based Costing (Costs and Quantities).........................................48

1.3.3.1.1 Query: 0ABC_C01_Q0001: Processes: Target Costs, Actual Costs, Cost Differences ............... 501.3.3.1.2 Query: 0ABC_C01_Q0002: Process Efficiency ............................................................................ 50

1.3.3.2 InfoCube: 0ABC_C02, Activity-Based Costing (Statistical Key Figures) ...................................... 51




1.3.3.2.1 Query: 0ABC_C02_Q0001: Processes: Statistical Key Figures ................................................... 52

1.3.3.3 InfoCube: 0ABC_C03, Activity-Based Costing (Primary Cost Component Split).......................... 53

1.3.3.3.1 Query: 0ABC_C03_Q0001: Primary Cost Component Split ......................................................... 54

1.3.3.4 InfoCube: 0ABC_C04, Activity-Based Costing (Variances) .......................................................... 55

1.3.3.4.1 Query: 0ABC_C04_Q0001: Process Variances............................................................................ 57

1.3.3.5 InfoCube: 0ABC_C13, Activity Allocation (Primary Cost Component Split).................................. 58

1.3.3.5.1 Query: 0ABC_C13_Q0001: Primary Cost Component Split ......................................................... 59

1.3.3.6 InfoCube: 0ABC_C14, Activity Allocation (Variances) .................................................................. 60

1.3.3.6.1 Query: 0ABC_C14_Q001: Cost Center Variances........................................................................ 61

1.3.3.7 InfoCube: 0ABC_C15, Activity Allocation (Costs and Quantities)................................................. 62

1.3.3.7.1 Query: 0ABC_C05_Q0001: Cost Centers/Activity Types: Target Costs, Actual Costs, CostDifferences ................................................................................................................................... 64

1.3.3.7.2 Query: 0ABC_C05_Q0002: Cost Center Efficiency ...................................................................... 64

1.3.4 CO-OM-OPA Overhead Cost Orders .................................................................................................... 65

1.3.4.1 Infocube: 0OPA_C01: Costs and Allocations................................................................................ 65

1.3.4.1.1 Query: 0OPA_C01_Q0005: Orders: Budget/Commitment/Actual/Allotted ................................... 67

1.3.4.1.2 Query: 0OPA_C01_Q0006: Orders: Plan/Actual/Variance........................................................... 671.3.4.1.3 Query: 0OPA_C01_Q0022: Orders: Overall Plan/Commitment/Actual/Allotted ........................... 68

1.3.4.2 Infocube: 0OPA_C02: Statistical Key Figures............................................................................... 69

1.3.4.2.1 Query: 0OPA_C02_Q0001: Orders: Statistical Key figures Plan/Actual/Variance ....................... 70

1.3.5 CO-OM-PRO Overhead Cost Projects .................................................................................................. 71

1.3.5.1 Infocube: 0WBS_C01: Costs and Allocations...............................................................................71

1.3.5.1.1 Query: 0WBS_C01_Q0002: WBS Element: Budget/Commitment/Actual/Available..................... 72

1.3.5.1.2 Query: 0WBS_C01_Q0001: WBS Element: Plan/Actual/Variance............................................... 73

1.3.5.2 Infocube: 0WBS_C02: Statistical Key Figures ..............................................................................74

1.3.5.2.1 Query: 0WBS_C02_Q0001: WBS Element: Statistical Key Figures, Plan/Actual/ Variance........ 75

1.3.6 CO-PC Product Cost Controlling ........................................................................................................... 76

1.3.6.1 InfoCube: 0PC_01: Transaction data ............................................................................................ 76

1.3.6.1.1 Query: 0PC_C01_Q0001: Target Costs, Actual Costs, Cost Differences .................................... 78

1.3.6.1.2 Query: 0PC_C01_Q0002: Costs for Output Quantities................................................................. 79

1.3.6.1.3 Query: 0PC_C01_Q0003: Production Variance............................................................................ 79

1.3.6.2 InfoCube: 0COPC_02: Actual Costing/Material Ledger................................................................ 80

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1.4.1 IM-FA Capital Investments .................................................................................................................... 83

1.4.1.1 InfoCube: 0IMFA_1: Assigned Plan Budget.................................................................................. 83

1.4.1.1.1 Query: 0IMFA_C01_Q001: Plan for investment program and measures .....................................87

1.4.1.1.2 Query: 0IMFA_C01_Q002: Budget for investment program and measures ................................. 88

1.4.1.1.3 Query: 0IMFA_C01_Q003: Available plan .................................................................................... 89

1.4.1.1.4 Query: 0IMFA_C01_Q004: Available budget ................................................................................ 89

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1.5.1 EC-PCA Profit Center Accounting ......................................................................................................... 91

1.5.1.1 InfoCube: 0PCA_C01: PCA Transaction data............................................................................... 91

1.5.1.1.1 Query: 0PCA_C01_Q0004: Plan/actual variance - profit and loss accounts ................................ 92

1.5.1.1.2 Query: 0PCA_C01_Q0008: Plan/actual profit center comparison - result .................................... 93

1.5.1.1.3 Query: 0PCA_C01_Q0001: Plan version comparison - result ...................................................... 94

1.5.1.1.4 Query: 0PCA_C01_Q0003: Plan/actual period comparison - result ............................................. 95

1.5.1.1.5 Query: 0PCA_C01_Q0007: Current period/YTD/complete year - result....................................... 95

1.5.1.1.6 Query: 0PCA_C01_Q0005: Time comparison actual result.......................................................... 961.5.1.1.7 Query: 0PCA_C01_Q0006: Time comparison plan result ............................................................ 97

1.5.1.1.8 Query: 0PCA_C01_Q0012: Plan/actual/variance - balance sheet accounts ................................ 98




1.5.1.1.9 Query: 0PCA_C01_Q0009: Profit after capital costs .................................................................... 98

1.5.1.1.10 Query: 0PCA_C01_Q0010: Return on Investment...................................................................... 99

1.5.1.2 InfoCube: 0PCA_C02 PCA: Statistical key figures...................................................................... 100

1.5.1.2.1 Query: 0PCA_C02_Q0001: Statistical key figures...................................................................... 101

1.5.2 EC- CS Legal Consolidation ................................................................................................................ 102

1.5.2.1 InfoCube: 0ECCS_C01: Transaction data .................................................................................. 102

1.5.2.1.1 Query: 0ECCS_C01_Q001: Current year with structure -% Balance sheet ............................... 104

1.5.2.1.2 Query: 0ECCS_C01_Q002: Previous year comparison with variance ....................................... 104

1.5.2.1.3 Query: 0ECCS_C01_Q003: Multi-year comparison.................................................................... 105

1.5.2.1.4 Query: 0ECCS_C01_Q004: Quarter comparison ....................................................................... 105

1.5.2.1.5 Query: 0ECCS_C01_Q005: Month comparison.......................................................................... 106

1.5.2.1.6 Query: 0ECCS_C01_Q006: Comparison local/group currency ..................................................107

1.5.2.1.7 Query: 0ECCS_C01_Q007: Version comparison ....................................................................... 107

1.5.2.1.8 Query: 0ECCS_C01_Q008: Consolidation unit comparison.......................................................108

1.5.2.1.9 Query: 0ECCS_C01_Q009: Consolidation group comparison ................................................... 108

1.5.2.1.10 Query: 0ECCS_C01_Q010: Consolidation unit/Consolidation group comparison.................... 109

1.5.2.1.11 Query: 0ECCS_C01_Q011: Development of Consolidated value (local valuation) .................. 1091.5.2.1.12 Query: 0ECCS_C01_Q012: Sales by region............................................................................. 110

1.5.2.1.13 Query: 0ECCS_C01_Q013: I/S by functional area.................................................................... 110

1.5.2.1.14 Query: 0ECCS_C01_Q014: Asset history sheet ....................................................................... 111

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2.1.1 InfoCube: 0PA_C01: Headcount and Personnel Actions .................................................................... 112

2.1.1.1 Headcount/Personnel Structure .................................................................................................. 122

2.1.1.1.1 Query: 0PA_C01_Q001: Headcount/Change in Staffing Level................................................... 122

2.1.1.1.2 Query: 0PA_C01_Q012: Average Headcount.............................................................................1232.1.1.1.3 Query: 0PA_C01_Q021: Average Headcount (12 Months) ........................................................ 124

2.1.1.1.4 Query: 0PA_C01_Q011: Percentage Breakdown of Employees ................................................ 125

2.1.1.1.5 Query: 0PA_C01_Q006: Employees’ Average Age.................................................................... 126

2.1.1.1.6 Query: 0PA_C01_Q020: Headcount: Part-Time/Full-Time Workers .......................................... 127

2.1.1.1.7 Query: 0PA_C01_Q019: Headcount According to Capacity Utilization Level ............................128

2.1.1.2 Headcount/Personnel Structure FTE .......................................................................................... 129

2.1.1.2.1 Query: 0PA_C01_Q013: Headcount FTE ................................................................................... 129

2.1.1.2.2 Query: 0PA_C01_Q015: Percentage Breakdown of Headcount FTE ........................................ 130

2.1.1.2.3 Query: 0PA_C01_Q014: Average Headcount FTE..................................................................... 131

2.1.1.2.4 Query: 0PA_C01_Q016: Headcount/Headcount FTE Current Year........................................... 1322.1.1.3 Personnel Flow............................................................................................................................ 133

2.1.1.3.1 Query: 0PA_C01_Q002: Number of Personnel Actions ............................................................. 133

2.1.1.4 Entries.......................................................................................................................................... 134

2.1.1.4.1 Query: 0PA_C01_Q003: Number of Entries ............................................................................... 134

2.1.1.4.2 Query: 0PA_C01_Q010: Percentage Breakdown of Entries....................................................... 135

2.1.1.4.3 Query: 0PA_C01_Q022: Entry Rate ........................................................................................... 136

2.1.1.4.4 Query: 0PA_C01_Q005: Net Entry Rate..................................................................................... 137

2.1.1.4.5 Query: 0PA_C01_Q017: Number of Entries FTE........................................................................138

2.1.1.5 Leavers........................................................................................................................................ 139

2.1.1.5.1 Query: 0PA_C01_Q007: Number of Leavers.............................................................................. 139

2.1.1.5.2 Query: 0PA_C01_Q009: Percentage Breakdown of Leavers..................................................... 140

2.1.1.5.3 Query: 0PA_C01_Q023: Leaving Rate ....................................................................................... 141

2.1.1.5.4 Query: 0PA_C01_Q018: Number of Leavers FTE...................................................................... 142




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2.2.1 InfoCube: 0PARC_C01 Applications and Applicant Actions ............................................................... 144

2.2.1.1 Applications .................................................................................................................................150

2.2.1.1.1 Query: 0PARC_C01_Q002: Number of Applications with Master Data......................................150

2.2.1.1.2 Query: 0PARC_C01_Q008: Percentage Breakdown of Applications with Master Data............ 151

2.2.1.1.3 Query: 0PARC_C01_Q016: Average Number of Applications .................................................. 152

2.2.1.1.4 Query: 0PARC_C01_Q006 Ratio Applications to Applicants..................................................... 153

2.2.1.2 Applicants .................................................................................................................................... 154

2.2.1.2.1 Query: 0PARC_C01_Q003 Number of Applicants with Master Data.......................................... 154

2.2.1.2.2 Query: 0PARC_C01_Q015: Applicants‘ Average Age................................................................155

2.2.1.2.3 Query: 0PARC_C01_Q007: Percentage Breakdown of Applicants with Master Data................156

2.2.1.2.4 Query: 0PARC_C01_Q017: Average Number of Applicants ...................................................... 157

2.2.1.3 Advertising................................................................................................................................... 158

2.2.1.3.1 Query: 0PARC_C01_Q004: Number of Applications in Response to Advertising...................... 158

2.2.1.3.2 Query: 0PARC_C01_Q005: Applications per Advertisement Showing Costs ............................ 159

2.2.1.3.3 Query: 0PARC_C01_Q009: Percentage Breakdown of Applications......................................... 160

2.2.1.3.4 Query: 0PARC_C01_Q001: Unsolicited Applications and Applications in Response toAdvertisements .......................................................................................................................... 161

2.2.1.3.5 Query: 0PARC_C01_Q010: Unsolicited Applications Rate ........................................................ 162

2.2.1.4 Hires/Contracts Offered............................................................................................................... 163

2.2.1.4.1 Query: 0PARC_C01_Q011: Hires/Offers/Rejected Contracts .................................................... 163

2.2.1.4.2 Query: 0PARC_C01_Q012: Annual Comparison of Hires/Offers/Rejected Contracts ............... 164

2.2.1.4.3 Query: 0PARC_C01_Q013: Applicant Hiring Rate ..................................................................... 165

2.2.1.4.4 Query: 0PARC_C01_Q014: Take Up Rate for Job Offers .......................................................... 166

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2.3.1 InfoCube: 0PT_C01: Employee Times ................................................................................................ 169

2.3.1.1 Employee Times.......................................................................................................................... 174

2.3.1.1.1 Query: 0PT_C01_Q001: Productivity Rate ................................................................................. 174

2.3.1.1.2 Query: 0PT_C01_Q002: Illness Rate.......................................................................................... 175

2.3.1.1.3 Query: 0PT_C01_Q003: Leave Per Planned.............................................................................. 176

2.3.1.1.4 Query: 0PT_C01_Q004: Overtime Rate ..................................................................................... 177

2.3.1.1.5 Query: 0PT_C01_Q005 Leave Taken for Effective Full-Time Employees.................................. 178

2.3.1.2 Employee Times Overview.......................................................................................................... 179

2.3.1.2.1 Query: 0PT_C01_Q011: Comparing Overview of Employee Times to Previous Year ............... 179

2.3.1.2.2 Query: 0PT_C01_Q012: Comparing Selected Employee Times and Debited Cost Centers toPrevious Year (Annual Comparison) ......................................................................................... 180

2.3.1.2.3 Query: 0PT_C01_Q013: Monthly View of Selected Employee Times ........................................ 181

2.3.1.2.4 Query: 0PT_C01_Q021 Employee Times Represented in Full-Time Employee Units............... 182 3<3D\UROO$FFRXQWLQJ

2.4.1 InfoCube: 0PY_C02 Payroll Data ........................................................................................................ 184

2.4.1.1 Query: 0PY_ C02_Q001: Quarterly Wage Types Overview ....................................................... 187

2.4.1.2 Query: 0PY_ C02_Q002: Annual Wage Types Overview........................................................... 188

2.4.1.3 Query: 0PY_ C02_Q003: Wage Types Overview for Germany.................................................. 189

2.4.1.4 Query: 0PY_ C02_Q004: Wage Types Overview USA............................................................... 191

2.4.1.5 Query: 0PY_ C02_Q005: Wage Types Comparison for Personnel Areas.................................. 192

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2.5.1 InfoCube: 0PE_C01: Training and Event Management ...................................................................... 194

2.5.1.1 Attendance and Cancellation Evaluations................................................................................... 1992.5.1.1.1 Query: 0PE_C01_Q001: Number of Attendances and Cancellations......................................... 199

2.5.1.1.2 Query: 0PE_C01_Q002: Annual Comparison of Bookings......................................................... 200




2.5.1.1.3 Query: 0PE_C01_Q003: Attendance and Cancellation Rate...................................................... 201

2.5.1.1.4 Query: 0PE_C01_Q004: Business Event Duration ..................................................................... 202

2.5.1.2 Evaluations of Business Event Fees ........................................................................................... 203

2.5.1.2.1 Query: 0PE_C01_Q005: Attendance and Cancellation Fees ..................................................... 203

2.5.1.2.2 Query: 0PE_C01_Q006: Fee Distribution by Internal and External Bookings............................ 204

2.5.1.2.3 Query: 0PE_C01_Q007: Fee Rates............................................................................................ 206

2.5.1.3 Evaluations of Organizer’s Sales and Costs ............................................................................... 207

2.5.1.3.1 Query: 0PE_C01_Q008: Annual Comparison of Revenues ....................................................... 207

2.5.1.3.2 Query: 0PE_C01_Q009: Annual Comparison of Business Event Costs .................................... 209

2.5.1.4 Evaluations of Employees ........................................................................................................... 210

2.5.1.4.1 Query: 0PE_C01_Q010: Training and Education Based on Organizational Assignment........... 210

2.5.1.4.2 Query: 0PE_C01_Q011: Training and Education Fees Based on Organizational Assignment.. 211

2.5.1.4.3 Query: 0PE_C01_Q012: Training and Education by Target Audience....................................... 213

2.5.1.4.4 Query: 0PE_C01_Q013: Training and Education Fees by Target Audience.............................. 215

2.5.2 Key figures ...........................................................................................................................................216

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3.1.1 InfoCube: 0SD_C01: Customer ........................................................................................................... 219

3.1.1.1 Query: 0SD_C01_Q010 Returns.................................................................................................220

3.1.1.2 Query: 0SD_C01_Q011 Incoming Orders................................................................................... 221

3.1.1.3 Query: 0SD_C01_Q012 Credit Memos....................................................................................... 222

3.1.1.4 Query: 0SD_C01_Q013 Sales Volume....................................................................................... 223

3.1.1.5 Query: 0SD_C01_Q0001 – Sales: Plan/actual/variance current year/previous year.................. 223

3.1.1.6 Query: 0SD_C01_Q0002 – SD: Incoming orders/revenue: Months of current year................... 224

3.1.1.7 Query: 0SD_C01_Q0003 – SD: Returns: Quantities + values.................................................... 225

3.1.1.8 Query: 0SD_C01_Q021 Product Analysis .................................................................................. 2253.1.1.9 0SD_C01_Q022 Analyses Product Profitability .......................................................................... 226

3.1.1.10 Query: 0SD_C01_Q023 Top Customer ...................................................................................... 227

3.1.1.11 Query: 0SD_C01_Q024 Analysis Incoming Orders .................................................................... 227

3.1.1.12 Query: 0SD_C01_Q025 Analysis Sales/Cost ............................................................................. 228

3.1.1.13 Query: 0SD_C01_Q026 Analysis Distribution Channel .............................................................. 228

3.1.2 InfoCube: 0SD_C02 - Deliveries.......................................................................................................... 229

3.1.2.1 Query: 0SD_C02_Q0001 – Sales: weekly deliveries.................................................................. 230

3.1.3 InfoCube: 0SD_C03 Sales Overview................................................................................................... 231

3.1.3.1 Query: 0SD_C03_Q003 Returns.................................................................................................235

3.1.3.2 Query: 0SD_C03_Q004 Incoming Orders................................................................................... 2363.1.3.3 Query: 0SD_C03_Q005 Credit memos....................................................................................... 236

3.1.3.4 Query: 0SD_C03_Q006 Deliveries ............................................................................................. 237

3.1.3.5 Query: 0SD_C03_Q007 Billing Documents ................................................................................ 238

3.1.3.6 Query: 0SD_C03_Q008 Fulfillment Rates .................................................................................. 238

3.1.3.7 Query: 0SD_C03_Q009 Sales Values ........................................................................................239

3.1.3.8 Query: 0SD_C03_Q010 Order, Delivery and Sales Quantities................................................... 240

3.1.3.9 Query: 0SD_C03_Q011 Faultless Sales Order Processing........................................................ 240

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3.2.1 MM-IC Inventory Management ............................................................................................................ 242

3.2.1.1 Remarks on Filling Non-Cumulative InfoCubes .......................................................................... 242

3.2.1.1.1 Reference Day for Non-Cumulative Values in the OLTP and in the BW System ....................... 242

3.2.1.1.2 Connecting Plant Non-Cumulatives to BW (InfoCube 0IC_C01) ................................................ 242

3.2.1.1.3 Connecting Warehouse Non-Cumulatives to BW (InfoCube 0IC_C02)......................................244




3.2.1.2 InfoCube: 0IC_C01 Goods Movements: Plant and Stocks ......................................................... 244

3.2.1.2.1 Query: 0IC_C01_Q0001 Warehouse Inventory Turnover........................................................... 246

3.2.1.2.2 Query: 0IC_C01_Q0002 Inventory Days of Supply - Quantity.................................................... 247

3.2.1.2.3 Query: 0IC_C01_Q0003 Inventory Days of Supply - Value........................................................ 248

3.2.1.2.4 Query: 0IC_C01_Q0004 Finished Goods Inventory Days of Supply - Quantity ......................... 248

3.2.1.2.5 Query: 0IC_C01_Q0005 Finished Goods Inventory Days of Supply - Value.............................. 249

3.2.1.2.6 Query: 0IC_C01_Q0006 Raw Material Days of Supply - Quantity.............................................. 249

3.2.1.2.7 Query: 0IC_C01_Q0007 Raw Material Days of Supply - Value.................................................. 250

3.2.1.2.8 Query: 0IC_C01_Q0008 Inventory Obsolete .............................................................................. 250

3.2.1.2.9 Query: 0IC_C01_Q0009 Inventory Aging....................................................................................251

3.2.1.2.10 Query: 0IC_C01_Q0010 Stock Values ...................................................................................... 251

3.2.1.2.11 Query: 0IC_C01_Q0011 Stock Quantity.................................................................................... 252

3.2.1.2.12 Query: 0IC_C01_Q0012 Material Consumption ........................................................................ 253

3.2.1.2.13 Query: 0IC_C01_Q0013 Process Performance Measure ......................................................... 254

3.2.1.2.14 Query: 0IC_C01_Q0014 Consignment Stock Receipts vs Issues............................................. 255

3.2.1.2.15 Query: 0IC_C01_Q0015 Valuated Stock Receipts vs Issues.................................................... 255

3.2.1.3 InfoCube: 0IC_C02 Warehouse and Stocks ............................................................................... 2563.2.2 MM-PUR Purchasing ........................................................................................................................... 258

3.2.2.1 InfoCube: 0PUR_C01 Purchasing Data...................................................................................... 258

3.2.2.1.1 Query: 0PUR_C01_Q0001 Average Delivery Time -Vendor ...................................................... 261

3.2.2.1.2 Query: 0PUR_C01_Q0002 Service Level Vendor ...................................................................... 261

3.2.2.1.3 Query: 0PUR_C01_Q0003 - Fulfilment rate - Deliveries ........................................................... 262

3.2.2.1.4 Query: 0PUR_C01_Q0005 Average Delivery Time - Material .................................................... 263

3.2.2.1.5 Query: 0PUR_C01_Q0006 Purchasing values according to purchasing org. ............................263

3.2.2.1.6 Query: 0PUR_C01_Q0008 Delivery Quantity Variance..............................................................263

3.2.2.1.7 Query: 0PUR_C01_Q0009 Delivery Date Variance.................................................................... 265

3.2.2.1.8 Query: 0PUR_C01_Q0011 Order Quantities .............................................................................. 2663.2.2.1.9 Query: 0PUR_C01_Q0012 Order Activities ................................................................................ 266

3.2.2.1.10 Query: 0PUR_C01_Q0013 Vendor Comparison re: Purchasing Values................................... 267

3.2.2.1.11 Query: 0PUR_C01_Q0014 Country Comparison Raw Materials – Goods Receipt .................. 268

3.2.2.2 InfoCube: 0PUR_C02 Vendor Evaluation ................................................................................... 268

3.2.2.2.1 Query: 0PUR_C02_Q0022 Vendor Comparison with the Vendor Evaluation ............................ 270

3.2.2.3 InfoCube: 0PUR_C03 Subsequent Settlement – Evaluation ...................................................... 271

3.2.2.4 InfoCube: 0PUR_C04 Purchasing Groups.................................................................................. 273

3.2.2.4.1 Query: 0MMPUR_C04_Q01 Purchasing Group Analysis ........................................................... 275

404XDOLW\0DQDJHPHQW

3.3.1 Quality Inspection ................................................................................................................................276

3.3.1.1 InfoCube: 0QM_C01 Inspection lot and usage decision .............................................................276

3.3.1.1.1 Query: 0QM_C01/0QM_C01_Q001 Material analysis - Inspection lots...................................... 277

3.3.1.1.2 Query: 0QM_C01/0QM_C01_Q003 Vendor analysis - Inspection lots ....................................... 278

3.3.2 Notifications ......................................................................................................................................... 279

3.3.2.1 InfoCube: 0QM_C02 Notifications...............................................................................................279

3.3.2.1.1 Query: 0QM_C02/0QM_C02_Q001 Analysis of notifications - Quality Management................. 281

3.3.2.2 InfoCube: 0QM_C03 Notification items....................................................................................... 282

3.3.2.2.1 Query: 0QM_C03/0QM_C03_Q002 Analysis of nonconformities – Notifications .......................285

303ODQW0DLQWHQDQFHDQG6HUYLFH

3.4.1 Notifications ......................................................................................................................................... 286

3.4.1.1 InfoCube: 0QM_C02 Notifications...............................................................................................286

3.4.1.1.1 Query: 0QM_C02/0QM_C02_Q002 Analysis of notifications – Technical Objects.....................288

3.4.1.2 InfoCube: 0QM_C03 Notification items....................................................................................... 289




3.4.1.2.1 Query: 0QM_C03/0QM_C03_Q001 Analysis of damage codes – Notifications......................... 291

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3.5.1 Process and Production Orders........................................................................................................... 292

3.5.1.1 InfoCube: 0PP_C01 Plan/Actual Comparison Order/ Material View........................................... 292

3.5.1.1.1 Query: 0PP_C01_Q001 Schedule and Scrap Deviation Order View.......................................... 296

3.5.1.1.2 Query: 0PP_C01_Q002 Schedule/Scrap Deviation Order View................................................. 297

3.5.1.1.3 Query: 0PP_C01_Q003 Total Schedule Deviation Order View .................................................. 297

3.5.1.1.4 Query: 0PP_C01_Q004 Detailed Order Release Deviations...................................................... 297

3.5.1.1.5 Query: 0PP_C01_Q005 Detailed Order Start Date Deviations................................................... 298

3.5.1.1.6 Query: 0PP_C01_Q006 Detailed Order Delivery Date Deviations ............................................. 299

3.5.1.1.7 Query: 0PP_C01_Q007 Total Schedule/Lead time Deviation Order View ................................. 299

3.5.1.1.8 Query: 0PP_C01_Q008 Quantity/Scrap/Lead time Deviation Order View ................................. 300

3.5.1.1.9 Query: 0PP_C01_Q009 Negative/Positive Schedule Deviation Order View ..............................300

3.5.1.1.10 Query: 0PP_C01_Q010 Order Quantity .................................................................................... 301

3.5.1.1.11 Query: 0PP_C01_Q020 Production Lead Time......................................................................... 301

3.5.1.1.12 Query: 0PP_C01_Q021 Scheduled Achievement ..................................................................... 301

3.5.1.2 InfoCube: 0PP_C02 To-the-period order / material view ............................................................ 3023.5.1.2.1 Query: 0PP_C02_Q001 Quantity of Goods Received and Scrap............................................... 303

3.5.1.3 InfoCube: 0PP_C03 Plan / actual comparison procedure / work center..................................... 304

3.5.1.3.1 Query: 0PP_C03_Q001 Execution time and scrap variance: Work center view ........................ 307

3.5.1.3.2 Query: 0PP_C03_Q002 Lead time and relative schedule deviation: Work center ..................... 308

3.5.1.3.3 Query: 0PP_C03_Q003 Operation times detailed ...................................................................... 308

3.5.1.3.4 Query: 0PP_C03_Q004 Operation times .................................................................................... 309

3.5.1.3.5 Query: 0PP_C03_Q005 Schedule deviations Work center view ................................................ 309

3.5.1.3.6 Query: 0PP_C03_Q006 Schedule and quantity deviations Work center view............................ 310

3.5.1.3.7 Query: 0PP_C03_Q007 Capacity load utilization........................................................................ 310

3.5.1.3.8 Query: 0PP_C03_Q008 Operation quantities ............................................................................. 3113.5.1.4 InfoCube: 0PP_C04 To-the-period operation / work center view................................................ 311

3.5.1.4.1 Query: 0PP_C04_Q001 Capacity load utilization........................................................................ 313

3.5.2 Actual quantities in the work center ..................................................................................................... 314

3.5.2.1.1 Query: 0PP_C04_Q002 Actual quantities in the work center ..................................................... 314

3.5.2.2 InfoCube: 0PP_C05 Plan / actual comparison material consumption.........................................315

3.5.2.2.1 Query: 0PP_C05_Q001 Material consumption target / actual .................................................... 316

3.5.2.3 InfoCube: 0PP_C06 To-the-Period Material Consumption ......................................................... 317

3.5.2.3.1 Query: 0PP_C06_Q001 Material consumption ........................................................................... 318

3.5.3 Repetitive manufacturing ..................................................................................................................... 319

3.5.3.1 InfoCube: 0PP_C07 Repetitive manufacturing Goods receipts .................................................. 319

3.5.4 Goods receipts Repetitive manufacturing............................................................................................ 320

3.5.4.1.1 Query: 0PP_C07_Q001 Goods receipts Repetitive manufacturing............................................ 320

3.5.4.2 InfoCube: 0PP_C08 Repetitive manufacturing Material consumption ........................................ 321

3.5.4.2.1 Query: 0PP_C08_Q001 Material consumption Repetitive production ........................................ 322

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4.1.1 Important Note ..................................................................................................................................... 323

4.1.2 Activities............................................................................................................................................... 323

4.1.2.1 InfoCube: 0MSA_C01 Activities (Customer/Product).................................................................. 323

4.1.2.1.1 Query: 0MSA_C01_Q0001 - Samples according products......................................................... 325

4.1.2.1.2 Query: 0MSA_C01_Q0002 - Sample reporting in detail ............................................................. 326

4.1.2.1.3 Query: 0MSA_C01_Q0003 - Samples reporting according region ............................................. 326




4.1.2.1.4 Query: 0MSA_C01_Q0004 - Order quantity for material per month........................................... 327

4.1.2.1.5 Query: 0MSA_C01_Q0005 - Customer order quantity per month ..............................................327

4.1.2.1.6 Query: 0MSA_C01_Q0006 - Action selling prices ...................................................................... 327

4.1.2.1.7 Query: 0MSA_C01_Q0007 - Overview of orders per division..................................................... 328

4.1.2.1.8 Query: 0MSA_C01_Q0008 - Orders per sales office.................................................................. 328

4.1.2.2 InfoCube: 0MSA_C02 Activities (Customers) ............................................................................. 329

4.1.2.2.1 Query: 0MSA_C02_Q0001 - Regional Analysis.......................................................................... 330

4.1.2.2.2 Query: 0MSA_C02_Q0002 - Customer-specific analysis ........................................................... 331

4.1.2.2.3 Query: 0MSA_C02_Q0003 - Activities of Key Accounts.............................................................332

4.1.2.2.4 Query: 0MSA_C02_Q0004 - Activities according industries....................................................... 332

4.1.2.2.5 Query: 0MSA_C02_Q0005 - Activities according customer classes .......................................... 333

4.1.2.2.6 Query: 0MSA_C02_Q0006 - Activities according Nielsen-indicators.......................................... 333

4.1.2.2.7 Query: 0MSA_C02_Q0007 Activities according outlet type........................................................ 334

4.1.2.2.8 Query: 0MSA_C02_Q0008 - Visit rhythm - analysis ...................................................................334

4.1.2.3 InfoCube: 0MSA_C03 Revenues ................................................................................................ 335

4.1.2.3.1 Query: 0MSA_C03_Q0001 - Order quantity ............................................................................... 337

4.1.2.3.2 Query: 0MSA_C03_Q0002 - Net value ....................................................................................... 3384.1.2.3.3 Query: 0MSA_C03_Q0003 - Invoice value ................................................................................. 338

4.1.2.3.4 Query: 0MSA_C03_Q0004 - Coverage....................................................................................... 339

4.1.2.3.5 Query: 0MSA_C03_Q0005 - Opportunity / Revenue ..................................................................339

4.1.2.3.6 Query: 0MSA_C03_Q0006 - Promotion / Revenue .................................................................... 339

4.1.2.3.7 Query: 0MSA_C03_Q0007 - Revenues according Opportunity-Classification ........................... 340

4.1.2.3.8 Query: 0MSA_C03_Q0008 - Revenues according Opportunity-Result Reason......................... 340

4.1.2.3.9 Query: 0MSA_C03_Q0009 - Revenues according kind of opportunity....................................... 341

4.1.2.3.10 Query: 0MSA_C03_Q0010 - Revenues according Opportunity type ........................................341

4.1.2.3.11 Query: 0MSA_C03_Q0011 - Order development...................................................................... 341

4.1.2.3.12 Query: 0MSA_C03_Q0012 - Promotion / Volume ..................................................................... 3424.1.2.4 InfoCube: 0MSA_C04 Activities .................................................................................................. 342

4.1.2.4.1 Query: 0MSA_C04_Q0001 – Activities (Number of activities per prospect) ............................... 344

4.1.2.4.2 Query: 0MSA_C04_Q0002 – Activity status ............................................................................... 344

4.1.2.4.3 Query: 0MSA_C04_Q0003 – Activities (Number of facings) ...................................................... 345

4.1.2.4.4 Query: 0MSA_C04_Q0004 – Regional Analysis......................................................................... 345

4.1.2.4.5 Query: 0MSA_C04_Q0005 – Activities Key Account..................................................................346

4.1.2.4.6 Query: 0MSA_C04_Q0006 – Activity-types ................................................................................ 346

4.1.3 Opportunity ..........................................................................................................................................347

4.1.3.1 InfoCube: 0HTMSAC01 Opportunities (with reference to material) ............................................ 347

4.1.3.1.1 Query: 0HTMSAC01_Q0001 – Product Analysis........................................................................ 349

4.1.3.1.2 Query: 0HTMSAC01_Q0002 – Material-Group Analysis ............................................................ 349

4.1.3.2 InfoCube: 0HTMSAC02 Opportunities (Pipeline Analysis) ......................................................... 350

4.1.3.2.1 Query: 0HTMSAC02_Q0001 – Regional expected value........................................................... 352

4.1.3.2.2 Query: 0HTMSAC02_Q0002 – Pipeline Customers ................................................................... 352

4.1.3.2.3 Query: 0HTMSAC02_Q0003 – Pipeline Potential customers ..................................................... 353

4.1.3.2.4 Query: 0HTMSAC02_Q0004 – Pipeline Customers (according phases) ................................... 353

4.1.3.2.5 Query: 0HTMSAC02_Q0005 – Pipeline classification ................................................................ 354

4.1.3.2.6 Query: 0HTMSAC02_Q0006 – Kind of pipeline.......................................................................... 354

4.1.3.2.7 Query: 0HTMSAC02_Q0007 – Pipeline Result reason (Lost Order Analysis) ...........................355

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5.1.1 SAP Campbell Integration ................................................................................................................... 356




5.1.1.1 Important Note............................................................................................................................. 356

5.1.1.2 InfoCube: 0RC_C01 − Labor Data .............................................................................................. 356

5.1.1.2.1 Query: 0RC_C01_Q0003 − Actual vs. Scheduled Overtime.......................................................362

5.1.1.2.2 Query: 0RC_C01_Q0005 − Customer Service ........................................................................... 362

5.1.1.2.3 Query: 0RC_C01_Q0007 − Department Productivity - DEMO ................................................... 363

5.1.1.2.4 Query: 0RC_C01_ Q0008 − Job Productivity - DEMO ............................................................... 364

5.1.1.2.5 Query: 0RC_C01_Q0004 − Labor Hour Distribution ................................................................... 365

5.1.1.2.6 Query: 0RC_C01_Q0001 − Actual Labor vs. Schedule ..............................................................366

5.1.1.2.7 Query: 0RC_C01_Q0002 − Manager’s Forecasted Labor ..........................................................368

5.1.1.2.8 Query: 0RC_C01_Q0006 − Schedule Quality............................................................................. 369

5.1.1.3 InfoCube: 0RT_C02 − Sales Data............................................................................................... 371

5.1.1.3.1 Query: 0RC_C02_Q0002 − Key Business Driver........................................................................ 374

5.1.1.3.2 Query: 0RC_C02_Q0004 − Manager’s Forecasted Sales .......................................................... 375

5.1.1.3.3 Query: 0RC_C02_Q0005 − Productivity Data Source ................................................................ 376

5.1.1.3.4 Query: 0RC_C02_Q0003 − Sales vs. Last Year......................................................................... 377

5.1.1.3.5 Query: 0RC_C02_Q0001 − Sales vs. Plan ................................................................................. 3785.1.1.4 InfoCube: 0RC_C03 − Operational InfoCube.............................................................................. 379

5.1.1.4.1 Query: 0RC_C03_Q0005 − Reporting Stores ............................................................................. 384

5.1.1.4.2 Query: 0RC_C03_Q0001 − Store Operations Summary ............................................................ 385

5.1.1.4.3 Query: 0RC_C03_Q0002 − Store Operations Summary vs. Plan .............................................. 387

5.1.1.4.4 Query: 0RC_C03_Q0003 − Store Operations Summary, Future Week ..................................... 388

5.1.1.4.5 Query: 0RC_C03_Q0004 − Store Productivity............................................................................ 389

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5.2.1 InfoCube: 0DSLC_C1, Special Laundry Care (SLC) Market Data ...................................................... 391

5.2.1.1 Query: 0DSLC_C1_Q01: Market Performance........................................................................... 392

5.2.1.2 Query: 0DSLC_C1_Q02: Category Performance ....................................................................... 3935.2.1.3 Query: 0DSLC_C1_Q04: Promotional Performance................................................................... 394

5.2.1.4 Query: 0DSLC_C1_Q05: Competitive Fact-Sheet...................................................................... 394




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This InfoCube contains all accounts receivable data (line items) that was downloaded from the connected sourcesystem(s).

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0FI_AR_2: Accounts Receivable: Line Items

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0ACCT_TYPE Account type No No

0BLINE_DATE Baseline date for due date calculation No No

0BUS_AREA Business area No No

0CHRT_ACCTS Chart of accounts No No

0CLEAR_DATE Clearing date No No

0COMP_CODE Company code No No

0COUNTRY Country key No No

0DSCT_DATE1 Due date for cash discount 1 No No


0DUNN_AREA Dunning area No No

0DUNN_KEY Dunning key No No

0DUNN_LEVEL Dunning level No No

0GL_ACCOUNT Account number No No

0NETDUEDATE Due date for payment No No

0PMNTTRMS Terms of payment key No No

0PSTNG_DATE Posting date No No




0SP_GL_IND Special G/L indicator No No

0LAST_DUNN Last dunning date No No

0DEBITOR Customer number Yes Yes

0C_CTR_AREA Credit control area No No

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0FISCPER Fiscal year / period

0FISCVARNT Fiscal year variant

0FISCYEAR Fiscal year

0FISCPER3 Posting period

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0CREDIT_DC Credit amount in foreign currency 0DOC_CURRCY additive

0CREDIT_LC Credit amount in local currency 0LOC_CURRCY additive

0DEBIT_DC Debit amount in foreign currency 0DOC_CURRCY additive

0DEBIT_LC Debit amount in local currency 0LOC_CURRCY additive

0DEB_CRE_DC Foreign currency amount (+/-) 0DOC_CURRCY additive

0DEB_CRE_LC Local currency amount (+/-) 0LOC_CURRCY additive

0DISC_BASE Amount eligible for cash discount indocument currency

0DOC_CURRCY additive

0DSC_AMT_DC Cash discount amount in document cur-rency


0DSC_AMT_LC Cash discount amount in local currency 0LOC_CURRCY additive

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0LOC_CURRCY Local currency Currency




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This InfoCube contains all accounts receivable data (transaction figures) that was downloaded from the connectedsource system(s).

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0FI_AR_1: Accounts receivable: Transaction Figures

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0DEBITOR Customer number Yes Yes

0DEBITOR_0INDUSTRY Industry key No No

0DEBITOR_0COUNTRY Country key No No


0CURTYPE Currency type No No

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0SALES Sales of the period 0CURRENCY additive

0DEBIT Total debit postings 0CURRENCY additive

0BALANCE Accumulated balance 0CURRENCY semi-additive

0CREDIT Total credit postings 0CURRENCY additive

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The day sales outstanding (DSO) analysis is concerned with the customer payment history. This analysis is always

made within a specific period. The DSO analysis provides general information on the number of days (DSO days) acustomer takes to pay an invoice. Or, in other words: The customer owes the value of “DSO days” day-sales. Forcalculating the DSO days, the balances (= average debts outstanding (open customer items) at the end of the pe-riod you select) are set against the sales (= average sales per period you select) according to the following formula:

DSO = balance/sales per period * 30

Balance = average debts outstanding (open customer items) at the end of the period you select.

Sales per period = average sales per period you select

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Current balance Accumulated balance of current period

Sales previous period Sales of the previous period

DSO Accumulated balance of current period / sales of previous period * 30See also remarks on use

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0DEBITOR Customer number

0COMP_CODE Company code

0DEBITOR_0INDUSTRY Industry key

0DEBITOR_0COUNTRY Country key

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This InfoCube contains all transaction data from accounts payable (line items) loaded from the connected sourcesystem(s).

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0FI_AP_2: Accounts payable: Line Items




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0ACCT_TYPE Account type No No

0BLINE_DATE Baseline date for due date calculation No No



0CLEAR_DATE Clearing date No No





0DUNN_AREA Dunning area No No

0DUNN_KEY Dunning key No No

0DUNN_LEVEL Dunning level No No

0GL_ACCOUNT Account number No No

0NETDUEDATE Due date for payment No No

0PMNTTRMS Terms of payment key No No

0PSTNG_DATE Posting date No No

0SP_GL_IND Special G/L indicator No No

0LAST_DUNN Last dunning date No No

0CREDITOR Account number of the vendor or creditor No Yes

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0CREDIT_DC Credit amount in foreign currency 0DOC_CURRCY additive

0CREDIT_LC Credit amount in local currency 0LOC_CURRCY additive

0DEBIT_DC Debit amount in foreign currency 0DOC_CURRCY additive

0DEBIT_LC Debit amount in local currency 0LOC_CURRCY additive

0DEB_CRE_DC Foreign currency amount (+/-) 0DOC_CURRCY additive

0DEB_CRE_LC Local currency amount (+/-) 0LOC_CURRCY additive

0DISC_BASE Amount eligible for cash discount in documentcurrency


0DSC_AMT_DC Cash discount amount in document currency 0DOC_CURRCY additive

0DSC_AMT_LC Cash discount amount in local currency 0LOC_CURRCY additive

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This InfoCube contains all accounts payable data (transaction figures) that was downloaded from the connectedsource system(s).

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0FI_AP_1: Accounts payable: Transaction Figures

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0CREDITOR Account number of the vendor or creditor No Yes






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0SALES Sales for the period 0CURRENCY additive

0DEBIT Total debit postings 0CURRENCY additive

0BALANCE Accumulated balance 0CURRENCY semi-additive

0CREDIT Total credit postings 0CURRENCY additive

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0CURRENCY Currency Currency

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This query shows the total debit postings, the total credit postings, the accumulated balance and the sales of theperiod by account number of the creditor, company code and currency type.

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Debit Total debit postings

Credit Total credit postings

Balance Debit – Credit

Accumulated balance Accumulated balance

Sales Sales for the period




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0CREDITOR Account number of the vendor or creditor



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This InfoCube contains all of the annual values uploaded from the source system(s) for Asset Accounting on thebasis of planned depreciation.

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0FI_AA_003: Revaluation/Year

0FI_AA_004: Investment Support

0FI_AA_001: Annual Values

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0ASSET Asset sub-number Yes No

0ASSET_MAIN Asset main number No No


0DEPRAREA Depreciation area real or derived No No

0ASSET_AFAB Depreciation area of asset Yes No

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0CACQ_VL_YR Cumulative acquisition value at fis-cal year start (w/o inv. support)

0CURRENCY Time: first value

0COR_DEP_YR Accumulated ordinary depreciation 0CURRENCY Time: first value

0CRES_TR_YR Cumulative transfer of reserves 0CURRENCY Time: first value

0CSP_DEP_YR Cumulative special depreciation 0CURRENCY Time: first value

0CUP_DEP_YR Cumulative unplanned depreciation 0CURRENCY Time: first value

0PLN_AVR_YR Planned transfer of reserves for year 0CURRENCY Additive

0PLO_DEP_YR Planned ordinary depreciation for

year

0CURRENCY Additive

0PLS_DEP_YR Planned special depreciation foryear

0CURRENCY Additive

0TACQ_VL_YR Transactions affecting acquis. value(w/o inv. support)

0CURRENCY Additive

0UPL_DEP_YR Scheduled unplanned depreciationfor year

0CURRENCY Additive

0VAW_AVR_YR Value adjustment and write-up oncumul. transfer of reserves

0CURRENCY Additive

0VAW_ODP_YR Value adjustment and write-up onordinary depreciation

0CURRENCY Additive

0VAW_SDP_YR Value adjustment and write-up onspecial depreciation

0CURRENCY Additive

0VAW_UDP_YR Value adjustment and write-up onunplanned depreciation

0CURRENCY Additive

0CREV_OD_YR Cumulative revaluation of ordinarydepreciation


0CREV_RV_YR Cumulative revaluation of replace-ment value


0PREV_AODYR Planned revaluation of cumulativeordinary depreciation

0CURRENCY Additive

0PREV_RV_YR Planned revaluation of replacementvalue

0CURRENCY Additive

0VA_RAPC_YR Value adjustment on revaluation ofAPC

0CURRENCY Additive

0VA_RODP_YR Value adjustment on revaluation ofordinary depreciation

0CURRENCY Additive




0CINV_GR_YR Cumulative investment grants 0CURRENCY Time: first value

0INV_GR_YR Investment grants for year 0CURRENCY Additive

0VA_INVS_YR Value adjustment on investmentsupport

0CURRENCY Additive

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0CURRENCY Currency key Currency

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Note:

• If you try to total across a number different depreciation areas, this could lead to incorrect results in the query.

Check if a report that totals the values of several depreciation areas is really necessary.

• Each time you upload data, the new data is added to the existing data. Therefore, delete existing data beforeuploading.

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The)LVFDO\HDU field is filled from the ILVFDO\HDUSHULRG field of the InfoSource.

The 0ASSET_AFAB field is filled from the 0DEPRAREA field.

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This query shows the current asset values in a depreciation area.

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Acquisition value Calculated key figure

Value adjustments Calculated key figure

Net book value Calculated key figure

Percent depreciated Percentage of depreciation in relation to acquisition value

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0ASSET_MAIN Asset main number

0ASSET Asset sub-number

0ASSET_AFAB__0BALSHA _APC

APC balance sheet account

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This query provides a comparison of two depreciation areas. It selects and compares the value adjustments (de-preciation) and net book values of the depreciation areas you select.

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Acquisition value Calculated key figure: The acquisition value is determined for the deprecia-tion area specified in the selection screen.

Value adjustments Calculated key figure: Value adjustments of the depreciation area

Net book value Calculated key figure: Net book value of the depreciation area

Value adjustments Calculated key figure: Value adjustments of the comparison depreciationarea

Net book value Calculated key figure: Net book value of the comparison depreciation area

Difference in val. adj. Value adjustments of the depreciation area minus Value adjustments of thecomparison depreciation area

Difference in NBV Net book value of the depreciation area minus Net book value of the com-parison depreciation area

)UHHFKDUDFWHULVWLFV





&RPPHQW

When you use a breakdown showing the asset sub-number, the capitalization date of the asset is also displayed.




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This InfoCube contains all of the period values uploaded from the source system(s) for Asset Accounting on thebasis of posted depreciation.

,QIR6RXUFHV

0FI_AA_002: Posted Depreciation

&KDUDFWHULVWLFV








7LPHFKDUDFWHULVWLFV


0FISCPER Fiscal year / Period




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0ASS_APC_PE Acquisition value of asset at periodstart

0CURRENCY Additive

0ASS_VAL_PE Value of asset at period start 0CURRENCY Time: first value

0AVR_PDP_PE Period: Posted transferred reserves 0CURRENCY Additive

0COR_DEP_PE Period start: Accumulated ordinarydepreciation


0CRES_TR_PE Period start: Cumulative transferredreserves





0CSP_DEP_PE Period start: Cumulative specialdepreciation


0CUP_DEP_PE Period start: Cumulative unplanneddepreciation


0PST_ODP_PE Period: Posted ordinary depreciation 0CURRENCY Additive

0PST_SDP_PE Period: Posted special depreciation 0CURRENCY Additive

0PUP_DEP_PE Period: Posted unplanned deprecia-tion

0CURRENCY Additive

0VAW_AVR_PE Value adjustment/write-up of trans-ferred reserves

0CURRENCY Additive

0VAW_ODP_PE Value adjustment/write-up of ordi-nary depreciation

0CURRENCY Additive

0VAW_SDP_PE Value adjustment/write-up of specialdepreciation

0CURRENCY Additive

0VAW_UDP_PE Value adjustment/write-up of un-planned depreciation

0CURRENCY Additive

8QLWV




Note:

• If you try to total across a number different depreciation areas, this could lead to incorrect results in the query.Check if a report that totals the values of several depreciation areas is really necessary.





,QIR&XEH),$$B&7UDQVDFWLRQV

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This InfoCube contains all line items uploaded from the source system(s) from Asset Accounting.

,QIR6RXUFHV

0FI_AA_006: Trans. w/ Val. Adjustmts




0FI_AA_005: FI-AA: Acquisitions

&KDUDFWHULVWLFV








0SEQ_NUMBER Sequential number of asset line itemin fiscal year

No No

0TRANSTYPE Asset transaction type No No

7LPHFKDUDFWHULVWLFV


0FISCPER Fiscal year / Period




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0ACQ_VAL_TR Acquisition value for transactions 0CURRENCY Additive

0INTERST_TR Interest on transaction 0CURRENCY Additive

0INV_SUP_TR Investment support on transaction 0CURRENCY Additive

0ORD_DEP_TR Ordinary depreciation on transaction 0CURRENCY Additive

0RES_TRF_TR Transferred reserves on transaction 0CURRENCY Additive

0REVAL_TR Revaluation on transaction 0CURRENCY Additive

0REV_ODP_TR Revaluation of ordinary depreciationon transaction

0CURRENCY Additive

0SPC_DEP_TR Special depreciation on transaction 0CURRENCY Additive

0UPL_DEP_TR Unplanned depreciation on transac-tion

0CURRENCY Additive




0VAW_AVR_TR Transaction: Value adjustment/write-up on transferred reserves

0CURRENCY Additive

0VAW_ODP_TR Transaction: Value adjustment/write-up on ordinary depreciation

0CURRENCY Additive

0VAW_SDP_TR Transaction: Value adjustment/write-up on special depreciation

0CURRENCY Additive

0VAW_UDP_TR Transaction: Value adjustment/write-up on unplanned depreciation

0CURRENCY Additive

0VA_INVS_TR Value adjustment on investmentsupport

0CURRENCY Additive

0VA_RAPC_TR Value adjustment on revaluation ofAPC

0CURRENCY Additive

0VA_RODP_TR Value adjustment on revaluation of

ordinary depreciation

0CURRENCY Additive

8QLWV




Note:






4XHU\),$$B&B4$VVHW$FTXLVLWLRQV

3XUSRVH

This query lists asset acquisitions.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Acquisitions Corresponds to the basic key figure: Acquisition value for transactions thatare filtered using history sheet groups in the filter




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0ASSET_0COSTCENTER Cost center




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The system determines the cost center in the asset valid on the current date, unless a key date is entered in theproperties of the query.


4XHU\),$$B&B4$VVHW$FTXLVLWLRQVRQ4XDUWHUO\%DVLV

3XUSRVH

This query displays all asset acquisitions in a given fiscal year and provides quarterly summarizations of the values.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Quarter I Corresponds to the basic key figure: ‘Acquisition value for transactions’limited to periods 001-003

Quarter II Corresponds to the basic key figure: ‘Acquisition value for transactions’limited to periods 004-006

Quarter III Corresponds to the basic key figure: ‘Acquisition value for transactions’limited to periods 007-009

Quarter IV Corresponds to the basic key figure: ‘Acquisition value for transactions’limited to periods 010-012

Total Totals of quarters I to IV

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,QIR&XEH),$$B&$QQXDO9DOXHVDQG7UDQVDFWLRQV

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This InfoCube contains all of the annual values uploaded from the source system(s) on the basis of planned depre-ciation and line items.

,QIR6RXUFHV

0FI_AA_006: Trans. w/ Val. Adjustmts

0FI_AA_005: FI-AA: Acquisitions

0FI_AA_001: Annual values

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0TRANSTYPE Asset transaction type No No

0SEQ_NUMBER Sequential number of asset lineitem in fiscal year

No No

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0CACQ_VL_YR Acquisition value at fiscal year start(w/o inv. support)


0COR_DEP_YR Accumulated ordinary depreciation 0CURRENCY Time: first value

0CRES_TR_YR Cumulative transferred reserves 0CURRENCY Time: first value




0CSP_DEP_YR Cumulative special depreciation 0CURRENCY Time: first value

0CUP_DEP_YR Cumulative unplanned depreciation 0CURRENCY Time: first value

0PLN_AVR_YR Planned annual transfer of reserves 0CURRENCY Additive

0PLO_DEP_YR Planned annual ordinary deprecia-tion 0CURRENCY Additive

0PLS_DEP_YR Planned annual special deprecia-tion

0CURRENCY Additive

0TACQ_VL_YR Transactions affecting acquisitionvalue (w/o inv. support)

0CURRENCY Additive

0UPL_DEP_YR Unplanned depreciation for year 0CURRENCY Additive

0VAW_AVR_YR Value adjustment/write-up oftransferred reserves for year

0CURRENCY Additive

0VAW_ODP_YR Value adjustment and write-up onordinary depreciation

0CURRENCY Additive

0VAW_SDP_YR Value adjustment and write-up onspecial depreciation

0CURRENCY Additive

0VAW_UDP_YR Value adjustment and write-up onunplanned depreciation

0CURRENCY Additive

0CREV_OD_YR Cumulative revaluation on ordinarydepreciation


0CREV_RV_YR Cumulative revaluation on replace-ment value


0PREV_AODYR Planned revaluation of cumulativeordinary depreciation

0CURRENCY Additive

0PREV_RV_YR Planned revaluation of replacementvalue

0CURRENCY Additive

0VA_RAPC_YR Value adjustment on revaluation ofAPC

0CURRENCY Additive

0VA_RODP_YR Value adjustment on revaluation ofordinary depreciation

0CURRENCY Additive

0CINV_GR_YR Cumulative investment grants 0CURRENCY Additive

0INV_GR_YR Investment grants for year 0CURRENCY Additive

0VA_INVS_YR Value adjustment on investmentsupport

0CURRENCY Additive

0ACQ_VAL_TR Acquisition value for transactions 0CURRENCY Additive

0INTERST_TR Interest on transaction 0CURRENCY Additive

0INV_SUP_TR Investment support on transaction 0CURRENCY Additive




0ORD_DEP_TR Ordinary depreciation on transac-tion

0CURRENCY Additive

0RES_TRF_TR Transferred reserves on transaction 0CURRENCY Additive

0REVAL_TR Revaluation on transaction 0CURRENCY Additive

0REV_ODP_TR Revaluation of ordinary deprecia-tion on transaction

0CURRENCY Additive

0SPC_DEP_TR Special depreciation on transaction 0CURRENCY Additive

0UPL_DEP_TR Unplanned depreciation on trans-action

0CURRENCY Additive

0VAW_AVR_TR Transaction: Value adjust-ment/write-up on transferred re-serves

0CURRENCY Additive

0VAW_ODP_TR Transaction: Value adjust-ment/write-up on ordinary deprecia-tion

0CURRENCY Additive

0VAW_SDP_TR Transaction: Value adjust-ment/write-up on special deprecia-tion

0CURRENCY Additive

0VAW_UDP_TR Transaction: Value adjust-ment/write-up on unplanned depre-ciation

0CURRENCY Additive

0VA_INVS_TR Value adjustment on investmentsupport

0CURRENCY Additive

0VA_RAPC_TR Value adjustment on revaluation ofAPC

0CURRENCY Additive

0VA_RODP_TR Value adjustment on revaluation ofordinary depreciation

0CURRENCY Additive

8QLWV




This InfoCube is designed for the asset history sheet. It includes the planned depreciation from InfoCube0FIAA_C01 and the line items from InfoCube 0FIAA_C03.

Note:









4XHU\),$$B&B4$VVHW+LVWRU\6KHHWIRU$3&

3XUSRVH

This query serves to create an asset history sheet that displays the evolution of acquisition and production costs forfixed assets.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

APC at FY start Corresponds to the calculated key figure ‘Acquisition value’ for the fiscalyear and depreciation area chosen in the selection screen (valid for all keyfigures used)

Acquisition Basic key figure: Acquisition value for transactions limited to the historysheet group for acquisitions

Retirement Basic key figure: Acquisition value for transactions limited to the historysheet group for retirements

Transfer Basic key figure: Acquisition value for transactions limited to the historysheet group for transfers

Current APC APC at FY start + Acquisition + Retirement + Transfer

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4XHU\),$$B&B4$VVHW+LVWRU\6KHHWIRU'HSUHFLDWLRQ

3XUSRVH

This query serves to create an asset history sheet that displays the evolution of value adjustments (depreciation)for fixed assets.




6WUXFWXUH

.H\ILJXUH &RPPHQWV

Depreciation at FY start Calculated key figure

Acquisition depreciation Value adjustments on acquisitions + Planned annual depreciation

Value adjustments on acqui-sitions

Value adjustments on transactions limited to transactions in acquisitionhistory sheet groups/hidden

Planned annual depreciation Calculated key figure /hidden

Retirement depreciation Value adjustments on transactions limited to transactions in retirementhistory sheet groups

Transfer depreciation Value adjustments on transactions limited to transactions in transfer historysheet groups

Final depreciation Depreciation FY start + Acquisition depreciation + Retirement depreciation+ Transfer depreciation

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757UHDVXU\

75&0&DVK0DQDJHPHQW

,QIR&XEH75B&0B&3ODQQHG$PRXQWV

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This InfoCube contains all the Cash Management data loaded from the connected source systems.

,QIR6RXUFH

0TR_CM_1 Cash Management

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0COMP_CODE Company code Yes No

0P_DATA_OF Cash Management data from No No

0P_DATA_SRC Data origin for Cash Management No No

0P_ACCOUNT Cash Management account name No No

0P_LEVEL Planning level Yes No

0GROUPING Grouping for cash position, liquidityforecast

No No

0P_GROUP Planning group Yes No

0BUS_AREA Business area Yes No

7LPH&KDUDFWHULVWLFV


0CALDAY Calendar day

0CALWEEK Calendar year/week

0CALMONTH Calendar year/month

0CALYEAR Calendar year




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0P_AMOUNT Planned amount in planned currency 0P_CURRENCY Additive

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0P_CURRENCY Planned currency Currency

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If you want to save the status of your Cash Management data, you should export the data to the Business Informa-tion Warehouse on a daily basis.

4XHU\75&07)6&DVK3RVLWLRQE\'D\&XUUHQF\

3XUSRVH

This query allows you to display the bank account activity for the next few days.

6WUXFWXUH

.H\ILJXUH 5HPDUNV

0P_AMOUNT Planned amount in planned currency

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0BUS_AREA Business area

0P_LEVEL Planning level

0P_ACCOUNT Cash Management account name

4XHU\75&07)6&DVK3RVLWLRQE\&XUUHQF\'D\

3XUSRVH

This query allows you to display the bank account activity for the next few days.

6WUXFWXUH

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4XHU\75&0/,4/LTXLGLW\)RUHFDVWE\'D\&XUUHQF\

3XUSRVH

This query allows you to display developments in the liquidity situation of the subledger accounts.

6WUXFWXUH

.H\ILJXUH 5HPDUNV


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4XHU\75&0/,4/LTXLGLW\)RUHFDVWE\&XUUHQF\'D\

3XUSRVH

This query allows you to display developments in the liquidity situation of the subledger accounts.

6WUXFWXUHV

.H\ILJXUH 5HPDUNV


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4XHU\75&03ODQQHG$PRXQWE\'D\&XUUHQF\

3XUSRVH

This query allows you to look at the cash position and liquidity forecast together. In other words, this report givesyou the activity of the bank accounts for the next few days as well as the liquidity situation of the subledger ac-counts.

6WUXFWXUH

.H\ILJXUH 5HPDUNV


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0P_GROUP Planning group

4XHU\75&03ODQQHG$PRXQWE\&XUUHQF\'D\

3XUSRVH

This query allows you to view the cash position and liquidity forecast together.

6WUXFWXUH

.H\ILJXUH 5HPDUNV


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0P_GROUP Planning group




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This infocube contains all the costs on cost centers, overhead cost orders and work breakdown structure elementsretrieved from the linked source systems. The infocube also contains the partner information for the allocation rela-tionships.

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0CO_OM_CCA_1: Cost Centers: Costs and Allocations

0CO_OM_OPA_1: Orders: Costs and Allocations

0CO_OM_WBS_1: WBS Elem.: Costs

&KDUDFWHULVWLFV



0COSTCENTER Cost center No Yes

0COORDER Order number No Yes

0WBS_ELEMT Work breakdown structure ele-ment

No Yes

0COSTELMNT Cost element No Yes

0CO_AREA Controlling area No No


0PIOBJSV Partner object type No No

0PIOVALUE Partner object No No

0METYPE Key figure type No No

0VERSION Version No No

0VTDETAIL Detail of value type No No

0VTYPE Value type for reporting No No

0VTSTAT Statistics indicator for value type No No

0DB_CR_IND Sender/Receiver indicator No No

0VALUATION Valuation view No No




7LPHFKDUDFWHULVWLFV


0FISCPER Fiscal year/period




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0AMOUNT Amount 0CURRENCY additive

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0CURRENCY Currency key Amount

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Note:

• It is first necessary to load the WBS- and order masta data before you fill this InfoCube. Otherwise the cost

center responsible can not be determined and entered in 0COSTCENTER (please also see comments on theupdate rules).

• If you use different valuation views and currency types when totaling, you obtain incorrect results in the query.Totaling using different values from the valuation views and currency types is, therefore, not advisable.

• Every time you upload data, the system adds it to the existing values. You should, therefore delete existingvalues where necessary, before repeating uploading.


In data records for orders or work breakdown structure (WBS) elements, the system fills the 0COSTCENTER (cost

center) info object with the responsible cost center for the order or WBS element. During the subroutine for theupdate rules, the system determines the responsible cost center using the master data (for the order or WBS ele-ment). Data records are not filled with the 0COORDER (order) or the 0WBS_ELEMT (WBS element) info objects.

4XHU\&220B&B4&RVW&HQWHU2UGHUV3ODQ$FWXDO9DULDQFH

8VH

This query provides you (the cost center manager) with an overview of costs incurred on a cost center, or costcenter hierarchy and corresponding orders, during the reporting timeframe. It enables you to make an actual andplan cost analysis, taking cost elements and debits/credits into account.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Plan Planned costs within the reporting timeframe

Actual Actual costs within the reporting timeframe

Variance Variance between planned and actual costs within the reporting timeframe

Var. (%) Plan percentage variance, within the reporting timeframe

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0COSTELMNT Cost element

0DB_CR_IND Sender/Receiver indicator

0COORDER Order number

0COSTCENTER Cost center

&220&&$&RVW&HQWHU$FFRXQWLQJ

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This infocube contains all costs and consumption quantities from absorption costing retrieved from linked sourcesystem(s). The infocube also contains the partner information from allocation relationships.

,QIR6RXUFHV

0CO_OM_CCA_1: Cost Centers: Costs and Allocations

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0QUANTITY Consumption quantity 0UNIT additive

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0UNIT Unit of measure Quantity


Note:




The fiscal year (0FISCYEAR) and posting period (0FISCPER3) characteristics are filled from the fiscal year period(0FISCPER) field in the info source.




4XHU\&&$B&B4&RVWFHQWHU3ODQ$FWXDO9DULDQFH

8VH

This query provides you (the cost center manager) with an overview of the costs and consumption quantities in-curred on a cost center, or cost center hierarchy within the reporting timeframe. It enables you to make an actualand plan analysis of these costs with regard to cost elements and debits/credits, as well as the corresponding allo-cation partners.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Costs: Plan Planned costs within the reporting timeframe

Costs: Actual Actual costs within the reporting timeframe

Costs: Variance Variance between plan and actual costs within the reporting timeframe

Costs: Var. (%) Plan percentage variance, within the reporting timeframe

Quantities: Plan Plan quantity within the reporting timeframe

Quantities: Actual Actual quantity within the reporting timeframe

Quantities: Variance Variance between plan and actual quantities within the reporting timeframe

Quantities: Var. (%) Plan percentage variance, within the reporting timeframe

)UHHFKDUDFWHULVWLFV


0PIOBJSV Partner object type

0PIOVALUE Partner object




4XHU\ &&$B&B4 &RVW FHQWHU 3ODQ$FWXDO9DULDQFH FXUUHQWFXPXODWHG3HULRG

8VH

This query provides you (the cost center managers) with an overview of the costs incurred on a cost center, or costcenter hierarchy in the current period and during the entire fiscal year. It enables you to make an actual and plananalysis of the costs with regard to cost elements and debits/credits, as well as the corresponding allocation part-ners.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Plan current period Planned costs in the current posting period

Act. current period Actual costs in the current posting period

Variance Variance between plan and actual costs in the current period

Var. (%) Plan percentage variance in the current period

Plan cum. FY Planned costs cumulated during the entire fiscal year

Act. cum. FY Actual costs cumulated during the entire fiscal year

Variance Variance between planned and actual costs in the fiscal year

Var. (%) Plan percentage variance in the fiscal year

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,QIRFXEH &&$B& &RVWV DQG $OORFDWLRQV 0DUJLQDO&RVWV

&RQWHQW

This infocube contains all the costs and quantities from marginal costing, retrieved from the linked source sys-tem(s). It also includes costs and quantities distributed by splitting to activity types.

,QIR6RXUFHV

0CO_OM_CCA_2: Cost Centers: Split Costs

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0ACTTYPE Activity type No Yes








7LPHFKDUDFWHULVWLFV






.H\ILJXUHV


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0AMOUNTFX Fixed amount 0CURRENCY additive

0AMOUNTVR Variable amount 0CURRENCY additive


0QUANTITYFX Fixed consumption quantity 0UNIT additive

0QUANTITYVR Variable consumption quantity 0UNIT additive

8QLWV





Note:







The fiscal year (0FISCYEAR) and posting period (0FISCPER3) characteristics are filled by the fiscal year periodfield (0FISCPER) in the info source.

4XHU\&&$B&B4&RVWFHQWHU7DUJHW$FWXDOVariance

8VH

This query provides you (the cost center manager) with an overview of the costs and consumption quantities thatare incurred on a cost center or cost center hierarchy within the reporting timeframe. It enables you to analyze thetarget and actual values with regards to cost elements, as well as debits/credits. It displays the fixed portion ofthese values.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Costs: Target Target costs within the reporting timeframe

Costs: Fixed target (%) Percentage of total target costs which is fixed target costs


Costs: Fixed actual (%) Percentage the total actual costs which is fixed actual costs

Costs: Variance Variance between target and actual costs within the reporting timeframe

Costs: Var. (%) Target percentage variance within the reporting timeframe

Quantities: Plan Plan quantities within the reporting timeframe

Quantities: Fixed plan (%) Percentage of total plan quantities which is the fixed plan quantities

Quantities: Actual Actual quantities within the reporting timeframe

Quantities: Fixed actual (%) Percentage of total actual quantities which is the fixed actual quantities


Quantities: Var. (%) Plan percentage variance, within the reporting timeframe

)UHHFKDUDFWHULVWLFV


0FISCPER Posting period/Fiscal year







,QIRFXEH&&$B&6WDWLVWLFDO.H\ILJXUHV

&RQWHQW

This infocube contains all the quantities you posted to statistical key figures for cost center accounting retrievedfrom the linked source system(s).

,QIR6RXUFHV

0CO_OM_CCA_4: Cost Centers: Statistical Key Figures

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DWWULEXWHDYDLODEOH"

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0STKEYFIG Statistical key figure No Yes



7LPHFKDUDFWHULVWLFV






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0QUANTITY Quantity 0UNIT additive

0QUANT_AVRG Inventory quantity 0UNIT

8QLWV







Note:

• Each statistical key figure category determines whether the system updates quantities or inventory quantitieson the statistical key figure. The system fills the 0QUANT_AVRG info object for non-cumulative values, such as"Number of Employees". However, for cumulative values such as "Telephone Units", the system fills the

0QUANTITY info object.




4XHU\ &&$B&B4 &RVW FHQWHU 6WDWLVWLFDO .H\ ILJXUHV 3ODQ$FWXDO9DULDQFH

8VH

This query provides you (the cost center manager) with an overview of the statistical key figures that were postedto on a cost center or cost center hierarchy within the reporting timeframe.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Plan Statistical plan quantities within the reporting timeframe

Actual Statistical actual quantities within the reporting timeframe

Variance Variance between plan and actual quantities within the reporting timeframe

Var. (%) Plan percentage variance within the reporting timeframe

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0STKEYFIG Statistical key figure





&220$%&$FWLYLW\%DVHG&RVWLQJ

,QIR&XEH $%&B& $FWLYLW\%DVHG &RVWLQJ &RVWV DQG4XDQWLWLHV

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This InfoCube contains the costs and allocations for the business process. It also contains the resource quantitiesconsumed and the allocated process quantity (activity quantity).

,QIR6RXUFHV

0CO_OM_ABC_1: Processes: costs

0CO_OM_ABC_2: Processes: activity quantities

&KDUDFWHULVWLFV



0PROC_TYPE Category No No

0VALADD_EXT Value added ext. No No

0VALADD_INT Value added int. No No


0PERF_TYPE Cost behavior No No



0ABCPROCESS Business process No Yes

0DB_CR_IND Sender/receiver No No


0METYPE Key figure category No No



0VALUATION Valuation No No


0VTSTAT Statistics indicator No No

0VTYPE Reporting value type No No




7LPHFKDUDFWHULVWLFV




.H\ILJXUHV


0QUANTITYFX Consumption quantity fixed 0UNIT Additive

0QUANTITY Consumption quantity 0UNIT Additive

0QUANTITYVR Consumption quantity var. 0UNIT Additive

0ACT_QUANTY Activity quantity 0ACT_UNIT Additive

0AMOUNTFX Amount fix 0CURRENCY Additive

0AMOUNT Amount 0CURRENCY Additive

0AMOUNTVR Amount variable 0CURRENCY Additive

8QLWV



0CURRENCY Currency Amount

0ACT_UNIT Activity unit Quantity


Note the following:

• If you sum across different valuation views and currency types, the results in the query will be incorrect. Sum-

ming across different characteristic values is not appropriate.

• Each time data is uploaded, it is added to the existing values. If you don’t want this to happen, delete the ex-isting data before uploading.


The characteristics ILVFDO\HDU(0FISCYEAR) and SRVWLQJSHULRG(0FISCPER3) are filled by the field ILVFDO\HDUSHULRG(0FISCPER) of the InfoSource.




4XHU\$%&B&B43URFHVVHV7DUJHW&RVWV$FWXDO&RVWV&RVW'LIIHUHQFHV

8VH

This query compares the target costs and actual costs of a business process and the target and actual quantities

for the resources consumed.

6WUXFWXUHV

.H\ILJXUH 5HPDUNV

Target costs For selected target cost version (entered in selection screen)

Actual costs For version 0

Cost difference Actual costs – target costs

Target input quantity For selected target cost version

Actual input quantity For version 0

Quantity difference Actual input quantity – target input quantity

)UHHFKDUDFWHULVWLFV


0VALADD_EXT Value added, external

0VALADD_INT Value added, internal

0ABCPROCESS Business process


0PIOBJSV Partner type


5HPDUNV

4XHU\$%&B&B43URFHVV(IILFLHQF\

8VH

This query compares the target and actual costs of a business process and the target and actual costs per processquantity (activity quantity).

6WUXFWXUHV

.H\ILJXUH 5HPDUNV

Actual costs For Version 0






Activity quantity For version 0

Actual costs/unit Actual costs/activity quantity

Target costs/unit Target costs/activity quantity

)UHHFKDUDFWHULVWLFV






5HPDUNV

,QIR&XEH $%&B& $FWLYLW\%DVHG &RVWLQJ 6WDWLVWLFDO.H\)LJXUHV

&RQWHQWV

This InfoCube contains the quantities loaded from the linked source system(s) that were posted to statistical keyfigures for the process.

,QIR6RXUFHV

0CO_OM_ABC_3: Processes: statistical key figures

&KDUDFWHULVWLFV


DWWULEXWHDYDLODEOH"

([WHUQDO KLHUDUFK\

DYDLODEOH"















7LPHFKDUDFWHULVWLFV




.H\ILJXUHV



0QUANT_AVRG Inventory quantity 0UNIT Additive

8QLWV



5HPDUNVRQ,QIR&XEH

Note the following:

• The category of the statistical key figure determines whether quantities or inventory quantities are posted to it.For inventory values such as QXPEHURIHPSOR\HHV, the InfoObject 0QUANT_AVRG is filled. For cumulativefigures such as WHOHSKRQHXQLWV, the InfoObject 0QUANTITY is filled.


5HPDUNVRQWKHXSGDWHUXOHV


4XHU\$%&B&B43URFHVVHV6WDWLVWLFDO.H\)LJXUHV

8VH

This query offers provides the employee responsible for the process with an overview of the statistical key figures

posted to the business process or process hierarchy during the reporting time frame.




6WUXFWXUHV

.H\ILJXUH 5HPDUNV

Planned quantity Statistical planned quantities within the reporting time frame

Confirmed quantity Statistical actual quantities within the reporting time frame

Variance Actual quantity - planned quantity

Var. % Percentage variance based on plan within reporting time frame

)UHHFKDUDFWHULVWLFV






5HPDUNV

,QIR&XEH $%&B& $FWLYLW\%DVHG &RVWLQJ 3ULPDU\&RVW&RPSRQHQW6SOLW

&RQWHQWV

This InfoCube contains the process costs broken down into cost components. Process costs are allocated to costobjects under allocation cost elements – which results in the loss of information on the original cost elements. Thecost component split, which is generated in the process of activity price calculation for the business process, cansummarize the information of multiple source cost elements onto one cost component.

,QIR6RXUFHV

0CO_OM_ABC_5: Processes: cost split

&KDUDFWHULVWLFV











0CSTCOMP Cost component No No

0CURTYP Currency type No No

7LPHFKDUDFWHULVWLFV




.H\ILJXUHV


0AMOUNTFX Amount fixed 0CURRENCY Additive



8QLWV




Note the following:

• If you sum across different currency types, the results in the query will be incorrect. Summing across differentcharacteristic values of these characteristics is not appropriate.




4XHU\$%&B&B43ULPDU\&RVW&RPSRQHQW6SOLW

8VH

This query displays the planned and actual activity price for each business process broken down into cost compo-nents, and shows the differences between the plan activity prices and the actual activity prices.




6WUXFWXUHV

.H\ILJXUH 5HPDUNV

Planned costs For selected version (entered in the selection screen)


Cost difference Actual costs – planned costs

Planned costs, f ixed For selected version (entered in selection screen)

Actual costs, fixed For version 0

Cost difference, fixed Actual costs fixed – planned costs fixed

Planned costs, variable For selected version (entered in selection screen)

Actual costs, variable For version 0

Cost difference, variable Actual costs variable – planned costs variable

)UHHFKDUDFWHULVWLFV



0CSTCOMP Cost component


5HPDUNV

,QIR&XEH$%&B&$FWLYLW\%DVHG&RVWLQJ9DULDQFHV

&RQWHQWV

This InfoCube contains the variances between target costs and actual costs, broken down into variance categories.

,QIR6RXUFHV

0CO_OM_ABC_6: Processes: variances

&KDUDFWHULVWLFV

















0VTDETAIL Detail of value No No


7LPHFKDUDFWHULVWLFV




.H\ILJXUHV


0VAR_FX Amount, fixed 0CURRENCY Additive

0VARIATION Amount 0CURRENCY Additive

0VAR_VR Amount, variable 0CURRENCY Additive

8QLWV



5HPDUNVRQ,QIR&XEH

Note the following:

• If you sum across different currency types, the results in the query will be incorrect. Summing across differentcharacteristic values of these characteristics is not appropriate.







4XHU\$%&B&B43URFHVV9DULDQFHV

8VH

This query analyzes the variances of a business process.

6WUXFWXUHV

.H\ILJXUH 5HPDUNV

Input price variance For selected target cost version

Input quantity variance For selected target cost version

Resource-usage variance For selected target cost version

Remaining input variance For selected target cost version

7RWDOLQSXWYDULDQFH Input price variance + input quantity variance + resource-usage variance +remaining input variance

Output price variance For selected target cost version

Output quantity variance For selected target cost version

Remaining variance Target cost version

7RWDORXWSXWYDULDQFH Output price variance + output quantity variance + remaining variance

7RWDOYDULDQFH Total input variance +Total output variance

)UHHFKDUDFWHULVWLFV


0VALADD_EXT Value added external

0VALADD_INT Value added internal

0ABCPROCESS Business process number


5HPDUNV




,QIR&XEH $%&B& $FWLYLW\ $OORFDWLRQ 3ULPDU\ &RVW &RPSRQHQW6SOLW

&RQWHQWV

This InfoCube contains the activity costs broken down into cost components. Internal activities are allocated underallocation cost elements – which results in the loss of information on the original cost elements. The cost compo-nent split, which is generated activity price calculation for each activity type of the cost center, can summarize theinformation of multiple source cost elements onto one cost component.

,QIR6RXUFHV

0CO_OM_CCA_6: Cost centers: cost split

&KDUDFWHULVWLFV


DWWULEXWHDYDLODEOH"

([WHUQDO KLHUDUFK\

DYDLODEOH"


0CSTCOMP Component No No



0ACTTYPE Activity type No No




7LPHFKDUDFWHULVWLFV




.H\ILJXUHV

,QIR2EMHFW 'HVFULSWLRQ 8QLW,QIR2EMHFW $JJUHJDWLRQVEHKDYLRU







8QLWV



5HPDUNVRQ,QIR&XEH

Note the following:

• If you sum across different currency types, the results in the query will be incorrect. Summing across differentvalues of these characteristics is not appropriate.




4XHU\$%&B&B43ULPDU\&RVW&RPSRQHQW6SOLW

8VH

This query displays the plan activity price and actual activity price for each activity type of a cost center brokendown into cost components, and shows differences between the plan activity price and actual activity price.

6WUXFWXUHV

.H\ILJXUH 5HPDUNV

Planned costs For selected version (entered in selection screen)


Cost difference Actual costs – planned costs

Planned costs, f ixed For selected version (entered in selection screen)

Actual costs, fixed For version 0

Cost difference, fixed Actual costs fixed – planned costs fixed

Planned costs, variable For selected version (entered in selection screen)

Actual costs, variable For Version 0

Cost difference, variable Actual costs variable – planned costs variable

)UHHFKDUDFWHULVWLFV






0ACTTYPE Activity type

0CSTCOMP Cost component


5HPDUNV

,QIR&XEH$%&B&$FWLYLW\$OORFDWLRQ9DULDQFHV

&RQWHQWV

This InfoCube contains the variances between target costs and actual costs, broken down into variance categories.

,QIR6RXUFHV

0CO_OM_CCA_5: Cost centers: variances

&KDUDFWHULVWLFV











0VTDETAIL Detail of value No No


7LPHFKDUDFWHULVWLFV







.H\ILJXUHV

,QIR2EMHFW 'HVFULSWLRQ 8QLW,QIR2EMHFW $JJUHJDWLRQVEHKDYLRU

0VAR_FX Amount fixed 0CURRENCY Additive

0VARIATION Amount 0CURRENCY Additive

0VAR_VR Amount variable 0CURRENCY Additive

8QLWV



5HPDUNVRQ,QIR&XEH

Note the following:

• If you sum across different currency types, the results in the query will be incorrect. Summing across differentvalues of these characteristics is not appropriate.



The characteristics ILVFDO\HDU(0FISCYEAR) and SRVWLQJSHULRG(0FISCPER3) are filled by the field ILVFDO\HDUSH

ULRG (0FISCPER) of the InfoSource.

4XHU\$%&B&B4&RVW&HQWHU9DULDQFHV

8VH

This query analyzes the variances for each activity type of a cost center.

6WUXFWXUHV

.H\ILJXUH 5HPDUNV

Input price variance For selected target cost version

Input quantity variance For selected target cost version

Resource-usage variance For selected target cost version

Remaining input variance For selected target cost version

7RWDOLQSXWYDULDQFH Input price variance + input quantity variance + resource-usage variance +remaining input variance

Output price variance For selected target cost version

Output quantity variance For selected target cost version




Remaining variance Target cost version

7RWDORXWSXWYDULDQFH Output price variance + output quantity variance + remaining variance

7RWDOYDULDQFH Total input variance+ Total output variance

)UHHFKDUDFWHULVWLFV





5HPDUNV

,QIR&XEH $%&B& $FWLYLW\ $OORFDWLRQ &RVWV DQG4XDQWLWLHV

&RQWHQWV

This InfoCube contains the costs and allocations for each activity type of a cost center. It also contains the re-source quantity consumed, and the allocated activity quantity.

,QIR6RXUFHV

0CO_OM_CCA_2: Cost centers: split costs

0CO_OM_CCA_3: Cost centers/activity types: activities

&KDUDFWHULVWLFV



0CO_AREA Controlling area No Nein







0CURTYP Currency type No No




0COSTELEMNT Cost element No Yes




7LPHFKDUDFWHULVWLFV




.H\ILJXUHV


0ACT_OUTPUT Output 0OUTP_UNIT Additive

0ACT_SCHEDL Planned activity 0ACT_UNIT Additive

0ACT_CAPACT Capacity 0ACT_UNIT Additive

0ACT_QUANTY Activity quantity 0ACT_UNIT Additive

0QUANTITYFX Consumption quantity fixed 0UNIT Additive


0QUANTITYVR Consumption quantity variable 0UNIT Additive




8QLWV


0OUTP_UNIT Output unit Quantity

0ACT_UNIT Activity unit Quantity






5HPDUNVRQ,QIR&XEH


The characteristics ILVFDO\HDU(0FISCYEAR) and SRVWLQJSHULRG(0FISCPER3) are filled by the field ILVFDO\HDUSHULRG (0FISCPER) of the InfoSource.

4XHU\$%&B&B4&RVW&HQWHUV$FWLYLW\7\SHV7DUJHW&RVWV$FWXDO&RVWV&RVW'LIIHUHQFHV

8VH

This query compares the target costs and actual costs for each activity type of a cost center, and the target quanti-ties and actual quantities of the resource consumed.

6WUXFWXUHV

.H\ILJXUH 5HPDUNV




Target input quantity For selected target cost version

Actual input quantity For version 0

Quantity difference Actual input quantity – target input quantity

)UHHFKDUDFWHULVWLFV





5HPDUNV

4XHU\$%&B&B4&RVW&HQWHU(IILFLHQF\

8VH

This query compares the target costs and actual costs for each activity type of a cost center, and determines thetarget costs and actual costs per activity quantity.




6WUXFWXUHV

.H\ILJXUH 5HPDUNV




Activity quantity For version 0

Actual costs/unit Actual costs/activity quantity

Target costs/unit Target costs/activity quantity

)UHHFKDUDFWHULVWLFV





&22023$2YHUKHDG&RVW2UGHUV

,QIRFXEH23$B&&RVWVDQG$OORFDWLRQV

&RQWHQW

This info cube contains all the costs, quantities and budgets on overhead cost orders retrieved from the linkedsource system(s).

,QIR6RXUFHV


0CO_OM_OPA_2: Orders: Budget

0CO_OM_OPA_3: Orders: Total/Yearly Plan Values

&KDUDFWHULVWLFV


















7LPHFKDUDFWHULVWLFV






.H\ILJXUHV


$JJUHJDWLRQEHKDYLRU



8QLWV





Note:


• The system does not fill the time characteristics or the cost element for overall budgets and overall planningvalues. Nor does it fill the posting period and the cost element characteristic for annual budgets and annual




planning values. This creates values with the 000.YYYY (Y = Fiscal Year) format, particularly for the0FISCPER characteristic.




4XHU\23$B&B42UGHUV%XGJHW&RPPLWPHQW$FWXDO$OORWWHG

8VH

This query provides you (the orders manager) with an overview of the set budgets for an order or an order hierar-chy, as well as for the incurred commitments and costs. It enables you to analyze these values taking the fiscalyear and the posting periods into account. The system calculates the remaining available budget using these val-ues.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Budget Budget within the reporting timeframe

Commitment Commitment within the reporting timeframe


Allotted Total of commitment and actual costs

Available Budget within the reporting timeframe minus allotted amounts

)UHHFKDUDFWHULVWLFV






4XHU\23$B&B42UGHUV3ODQ$FWXDO9DULDQFH

8VH

This query provides you (the orders manager) with an overview of the costs and consumption quantities incurredon an order or an order hierarchy within the reporting timeframe. It enables you to make an actual and plan analy-sis taking cost elements, debits/credits and the corresponding allocation partners into account.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Costs: Plan Plan costs within the reporting timeframe



Costs: Var. (%) Plan percentage variance, within the reporting timeframe




Quantities: Var. (%) Plan percentage variance within the reporting timeframe

)UHHFKDUDFWHULVWLFV







4XHU\23$B&B42UGHUV2YHUDOO3ODQ&RPPLWPHQW$FWXDO$OORWWHG

8VH

This query provides you (the orders manager) with an overview of the set overall plan values for an order or anorder hierarchy, as well as for the incurred commitments and costs. It enables you to analyze these values takingthe fiscal year and the posting periods into account. The system calculates the remaining available overall planvalue using these values.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Overall Plan Overall plan value within the reporting timeframe

Commitment Commitment within the reporting timeframe


Allotted Total of commitment and actual costs





)UHHFKDUDFWHULVWLFV






,QIRFXEH23$B&6WDWLVWLFDO.H\)LJXUHV

&RQWHQW

This infocube contains all the statistical key figures posted to overhead cost orders, that were retrieved from thelinked source system(s).

,QIR6RXUFHV

0CO_OM_OPA_4: Orders: Statistical Key Figures

&KDUDFWHULVWLFV








7LPHFKDUDFWHULVWLFV









.H\ILJXUHV


$JJUHJDWLRQEHKDYLRU



8QLWV




• Each statistical key figure category determines whether the system updates quantities or inventory quantities

on the statistical key figure. The system fills the 0QUANT_AVRG info object for non-cumulative values, such as"Number of Employees". However, for cumulative values such as "Telephone Units", the system fills the0QUANTITY info object.




4XHU\23$B&B42UGHUV6WDWLVWLFDO.H\ILJXUHV3ODQ$FWXDO9DULDQFH

8VH

This query provides you (the orders manager) with an overview of the statistical key figures posted to on an orderor an order hierarchy within the reporting timeframe.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV





)UHHFKDUDFWHULVWLFV







&2203522YHUKHDG&RVW3URMHFWV

,QIRFXEH:%6B&&RVWVDQG$OORFDWLRQV

&RQWHQW

This infocube contains all costs, quantities and budgets on WBS elements that were retrieved from the linkedsource system(s).

,QIR6RXUFHV

0CO_OM_WBS_1: WBS Elem.: Costs

0CO_OM_WBS_2: WBS Elem.: Budget

0CO_OM_WBS_3: WBS Elem.: Overall/Annual Planning Values

&KDUDFWHULVWLFV




No Yes















7LPHFKDUDFWHULVWLFV






.H\ILJXUHV


$JJUHJDWLRQEHKDYLRU



8QLWV





Note:


• The system does not fill the time characteristics or the cost element for overall budgets and overall planningvalues. Nor does it fill the posting period and the cost element characteristic for annual budgets and annualplanning values. This creates values with the 000.YYYY (Y = Fiscal Year) format, particularly for the0FISCPER characteristic.




4XHU\ :%6B&B4 :%6 (OHPHQW %XGJHW&RPPLWPHQW$FWXDO$YDLODEOH

8VH

This query provides you (the project manager) with an overview of the budgets set for a WBS element or a WBSelement hierarchy, as well as the commitments and costs incurred. It enables you to analyze these values taking




the fiscal years and posting periods into account. The system calculates the remaining available budget usingthese values.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Budget Budget within the reporting timeframe

Commitment Commitments within the reporting timeframe


Allotted Total of commitments and actual costs


)UHHFKDUDFWHULVWLFV





0WBS_ELEMT Work breakdown structure element

4XHU\:%6B&B4:%6(OHPHQW3ODQ$FWXDO9DULDQFH

8VH

This query provides you (the project manager) with an overview of incurred costs and consumption quantities on aWBS element or WBS element hierarchy within the reporting timeframe. It enables you to make a plan or actualanalysis of these costs taking cost elements, debits/credits and corresponding allocation partners into account.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Costs: Plan Plan costs within the reporting timeframe



Costs: Var. (%) Plan percentage variance within the reporting timeframe




Quantities: Var. (%) Plan percentage variance within the reporting timeframe




)UHHFKDUDFWHULVWLFV







,QIRFXEH:%6B&6WDWLVWLFDO.H\)LJXUHV

&RQWHQW

This infocube contains all the statistical key figures posted to WBS elements that were retrieved from the linkedsource system(s).

,QIR6RXUFHV

0CO_OM_WBS_4: WBS Elem.: Statistical Key Figures

&KDUDFWHULVWLFV




No Yes





7LPHFKDUDFWHULVWLFV









.H\ILJXUHV


$JJUHJDWLRQEHKDYLRU



8QLWV




Note:

• The system does not fill the time characteristics or the cost element for overall budgets and overall planningvalues. Nor does it fill the posting period and the cost element characteristic for annual budgets and annualplanning values. This creates values with the 000.YYYY (Y = Fiscal Year) format, particularly for the0FISCPER characteristic.



The fiscal year (0FISCYEAR) and posting period (0FISCPER3) characteristics are filled by the fiscal year period

field (0FISCPER) in the info source.

4XHU\ :%6B&B4 :%6 (OHPHQW 6WDWLVWLFDO .H\ )LJXUHV 3ODQ$FWXDO9DULDQFH

8VH

This query provides you (the project manager) with an overview of the statistical key figures posted to on a WBSelement or a WBS element hierarchy within the reporting timeframe.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV








)UHHFKDUDFWHULVWLFV




&23&3URGXFW&RVW&RQWUROOLQJ

,QIR&XEH3&B7UDQVDFWLRQGDWD

&RQWHQW

This InfoCube contains all of the transaction data uploaded from the source system. The data reflects all product

cost collectors and all orders in Cost Object Controlling.

,QIR6RXUFHV

0CO_PC_01 Product Cost by Order or Period: Plan/actual costs

0CO_PC_02 Product Cost by Order or Period: Period-end closing

&KDUDFWHULVWLFV


DWWULEXWHDYDLODEOH"

([WHUQDO KLHUDUFK\

DYDLODEOH"

0CURTYPE Currency type no no

0VALUATION Valuation no no

0CO_AREA Controlling area no no

0PLANT Plant no no

0MATERIAL Material number yes no

0MATL_GROUP Material group no no

0MATL_TYPE Material type no no

0MATL_HIER Product hierarchy no no

0ORDERITEM Number of order item no no

0PRODORDER Order number (Production order) no no

0PRODPROCNR Production processno

no

0PRODVRSN Production version no no

0COSTELMNT Cost element no no




0DB_CR_IND Sender-receiver indicator no no

0PIOBJSV Partner object type no no

0PIOVALUE Partner object no no

0VERSION Version no no

0VTYPE Value type for reporting no no

0METYPE Key figure category no no

0VTDETAIL Detail of the value type no no

7LPH&KDUDFWHULVWLFV






.H\)LJXUHV

,QIR2EMHFW 'HVFULSWLRQ ,QIR2EMHFWXQLWV $JJUHJDWLRQ

0AMOUNT Amount 0CURRENCY SUM

0AMOUNTFX Fixed amount 0CURRENCY SUM

0AMOUNTVR Variable amount 0CURRENCY SUM

0QUANTITY Quantity 0CURRENCY SUM

0QUANTITYFX Fixed quantity consumed 0CURRENCY SUM

0QUANTITYVR Variable quantity consumed 0CURRENCY SUM

0QUANTOUT Activity quantity 0UNIT SUM

0CONTCOST Control costs 0CURRENCY SUM

8QLWV

,QIR2EMHFW 'HVFULSWLRQ 7\S


0UNIT Unit of measure Unit of measure

0ACT_UNIT Service unit Unit of measure




1RWHVRQWKH,QIR&XEH

Never calculate a sum using different currency keys or valuations, as it can lead to incorrect results in the query.Always use a filter for the currency key and valuation key.

The following characteristics determine the content of InfoObject 0Amount: version, value type for reporting, keyfigure category, and detail of value type. (i.e. target costs have value type 30; scrap has value type 70 key figure

category 1300 and detail 41.)

1RWHVRQWKHXSGDWHUXOHV

The fiscal year and period are taken from the fiscal year period field.

4XHU\3&B&B47DUJHW&RVWV$FWXDO&RVWV&RVW'LIIHUHQFHV

3XUSRVH

This query compares an order’s target and actual costs as well as comparing the target input quantity with the ac-tual input quantity.

6WUXFWXUH

,QGLFDWRU &RPPHQW


Target costs For selected target versions (entered in the selection screen)

Cost difference Actual costs - target costs

Actual input quantity

Target input quantity For selected target versions

Quantity difference Actual input quantity - target input quantity

8VHUGHILQHGFKDUDFWHULVWLFV


0PLANT Plant

0MATL_HIER Product hierarchy

0MATERIAL Material number

0PRODORDER Order number (Production order)







4XHU\3&B&B4&RVWVIRU2XWSXW4XDQWLWLHV

3XUSRVH

This query compares the target costs and the actual costs from an order and determines the target and actualcosts for each output quantity.

6WUXFWXUH

,QGLFDWRU &RPPHQW


Target costs For selected target version (entered in the selection screen)

Cost difference Actual costs - target costs

Production quantity

Actual costs/unit Actual costs / production quantity

Target costs / unit Target costs / production quantity



0PLANT Plant

0MATERIAL_0PROD_HIE Product hierarchy


0PRODORDER Order number (production order)

0PRODVRSN Production version


4XHU\3&B&B43URGXFWLRQ9DULDQFH

3XUSRVH

This query compares the target costs with the actual costs from an order or a product cost collector and displaysthe resulting variances according to variance category. In addition, the query displays the value of the work in pro-cess and the value of the unplanned scrap for the order or product cost collector.

6WUXFWXUH

,QGLFDWRU &RPPHQW


Work in process For selected results analysis versions

Scrap For selected target versions




Control costs For selected target versions

Target costs For selected target version (entered in the selection screen)

Total Variances Control costs - target costs

Input price variance For selected target versions

Input quantity variance For selected target versions

Resource-usage variance For selected target versions

Remaining input variance For selected target versions

Total Input Variance Input price variance + Input quantity variance + Resource-usage vari-ance

+ Remaining input variance

Mixed-price variance For selected target versions

Output price variance For selected target versions

Lot size variance For selected target versions

Remaining variance For selected target versions

Total Output Variance Mixed-price variance + Output price variance

+ Lot size variance + Remaining variance



0PLANT Plant

0MATERIAL_0PROD_HIE Product hierarchy

0MATERIAL Material

0PROD_VRSN Production version

0PRODORDER Production order number

,QIR&XEH&23&B$FWXDO&RVWLQJ0DWHULDO/HGJHU

&RQWHQW

This InfoCube contains all of the transaction data for the Material Ledger uploaded from the source system. Thistransaction data is in all currencies and valuations, and covers all periods, materials, and valuation types (or foreach sales order or project stock).




,QIR6RXUFHV

0CO_PC_ACT_1: Actual Costing/Material Ledger

&KDUDFWHULVWLFV


0CURTYPE Currency type no no

0VALUATION Valuation no no

0COMP_CODE Company code no no

0CO_AREA Controlling area no no

0PLANT_P Plant no no

0STLMT_CTRL Settlement control no no

0VAL_CLASS Valuation class no no

0VAL_TYPE Valuation type no no

0MATERIAL Material number yes no

0DIVISION Division no no

0MATL_GROUP Material group no no

0MATL_TYPE Material type no no

0PROD_HIER Product hierarchy no no

0CATEG Category in the Material Ledgerdata display

no no

0PROCCATEG Process category no no

0DOC_NUMBER Sales document no no

0S_ORD_ITEM Sales document item no no

0WBS_ELEMT Work breakdown structure ele-ment (WBS element)

no no

7LPH&KDUDFWHULVWLFV




.H\)LJXUHV

,QIR2EMHFW 'HVFULSWLRQ ,QIR2EMHFWXQLW $JJUHJDWLRQ

0AMOUNT Amount 0CURRENCY SUM

0EXRTDIFF_M Multi-level exchange rate differences 0CURRENCY SUM




0EXRTDIFF_S Single-level exchange rate differ-ences

0CURRENCY SUM

0PRICDIFF_M Multi-level price differences 0CURRENCY SUM

0PRICDIFF_S Single-level price differences 0CURRENCY SUM

0QUANTITY Quantity 0UNIT SUM

8QLWV

,QIR2EMHFW 'HVFULSWLRQ &DWHJRU\



1RWHVRQWKH,QIR&XEH

Never calculate a sum using different currency keys or valuations, as it can lead to incorrect results in the query.Always use a filter for the currency key and valuation key.

1RWHVRQXSGDWHUXOHV

The fiscal year and period are taken from the fiscal year period field.




,0,QYHVWPHQW0DQDJHPHQW

,0)$&DSLWDO,QYHVWPHQWV

,QIR&XEH,0)$B$VVLJQHG3ODQ%XGJHW

&RQWHQW

This InfoCube contains the plan, budget and assigned values of investment programs and their assigned measures(orders and projects).

,QIR6RXUFHV

0IM_FA_IP_1: Program Position: Plan

0IM_FA_IP_2: Program Position: Budget

0IM_FA_IP_8: Assignment of Orders

0IM_FA_IP_9: Assignment of Projects


0CO_OM_OPA_2: Orders: Budget

0CO_OM_OPA_3: Orders: Overall/Annual Plan Values

0CO_OM_WBS_1: WBS Element: Costs

0CO_OM_WBS_2: WBS Element: Budget

0CO_OM_WBS_3: WBS Element: Plan

0CO_OM_NTW_1: Network: Costs

0CO_OM_NWA_1: Network activity: Costs

&KDUDFWHULVWLFV



0APPR_YEAR Approval year No No




0PROG_DEF Program definition (name inOLTP)

No No

0PROG_DEF_S Program definition No No

0PROG_POS Program position Yes Yes







0COORDER Order number (CO order) Yes No


0WBS_AS_ELE WBS element Yes No

0IM_OBJ Object type (IM) No No

0NEW_OLD Indicatorbalance forward/current/forecast

No No

0DB_CR_IND Sender/receiver indicator No No

7LPHFKDUDFWHULVWLFV





.H\ILJXUHV



8QLWV




When you have investment programs whose description in the OLTP system is more than four characters, youhave to rename them in the Implementation Guide for the Business Information Warehouse. For more information,refer to the BW Implementation Guide.

Interpretation of measure assignments when loading data

When loading measure values, a maximum of two programs can be updated using the assignments available in theODS.

As a rule, the most current requests for a program are used to update the data, as well as the two programs withthe most recent approval years.

Example:

The following requests for InfoSource 0IM_FA_IP_8, order assignment, are available in the ODS for the logicalsystem APT/100:




3URJUDP 'DWH 7LPH 0RVW UHFHQW UHTXHVWV

0RVW UHFHQW DSSURYDO\HDU

INVEST/1998 01/11/1999 17:11:41 +++ +++

INVEST/1998 01/11/1999 12:11:12

INVEST/1997 01/11/1999 14:41:17 +++ +++

INVEST/1997 01/10/1999 07:14:51

INVEST/1996 01/23/1999 07:43:59 +++

INVEST/1995 01/20/1999 06:32:54 +++

Result: The most recent requests of the most recent approval years (1997 or 1998) dated 01/11/1999 at 17:11hours and 14:41 hours are in the ODS.

The monitor of the InfoPackage log specifies which requests of the ODS were used for measure assignment when

loading the data (log subsection Data-IDoc / Package update).

CAUTION: The percentage assignment of investment measures to program positions, which has been availablesince release 4.0, is currently not represented in the BW. The system assigns a measure to the pro-gram position for which it has the highest percentage program assignment, and the measure is thenassigned at 100%. The multiple assignment by percentage is noted in the monitor in the log of the In-foPackage.


1. Changes to data structures supplied by the InfoSource

When updating the data of the InfoSource in the InfoCube, the structure of the data is adapted to the particularrequirements of program reporting because of the update rules. The main changes are explained below:

1.1. Reading program assignments for measures

The possible assignment of measures to an investment program is read in the ODS for all InfoSources. Only datarecords for those measures that have a program assignment are adopted.

1.2. Aggregation of the assigned objects to projects

For investment projects, the values are aggregated in the InfoCube on the WBS element that is assigned directly tothe investment program. This applies for all values that were posted on lower level WBS elements or objects as-signed to these WBS elements (orders, networks and network activities).

It is therefore not possible to expand the structure according to these objects.

1.3. Correction records for budget values and planned values for measures

Adding the budget and planned values for measures and program positions is not allowed, as this would result inan incorrect overall budget value. The system distinguishes the values using the object type (IM), InfoObject0IM_OBJ. Negative reversal records are also written, as documented in the following example.

Example:

Order 600517 is assigned to program position LAPTOPS with a budget value of 500. The program position has abudget value of 1000.

The following records are updated in the InfoCube:




352*B326 &225'(5 ,0B2%- $02817

LAPTOPS IP 1000

LAPTOPS - 300

LAPTOPS 600517 ME 300

Using the query, you see the following when you drill down the program position according to orders:

Budget program

(0IM_OBJ = IP)

Budget measure

(0IM_OBJ = ME)

Budget

(0IM_OBJ any)

LAPTOPS 1000 700

600517 300 300

Total 1000 300 1000

All key figures displayed can therefore by aggregated hierarchically without any restrictions.

2. Short description of the update rules applied

2.1 Key figure calculation

NEGATIVE

The negative value is adopted.

The rule is used to generate the reversal records mentioned above.

NEGATIVE_PLAN

The negative value is used for planned values.

The rule is used to generate the reversal records mentioned above for the InfoSources that contain assigned val-ues as well as planned values.

2.2 Characteristic calculation

INITIAL

The initial value of the InfoObjects is adopted.

OBJECT_MEASURE

The object type (IM), 0IM_OBJ, is identified with the value ’ME’ for measure.

OBJECT_PROGRAM

The object type (IM), 0IM_OBJ, is identified with the value ’IP’ for investment program position.

ASS_<InfoObject>_1




The value of the InfoObjects <InfoObject>_1 is adopted for the corresponding measure for the assignment to thefirst updated program from the ODS. If no such assignment exists, no update is made. The values for orders aretaken from the ODS data for InfoSource 0IM_FA_IP_8, and the values for projects from InfoSource 0IM_FA_IP_9.

ASS_<InfoObject>_2

Updating occurs as for ASS_<InfoObject>_2, however for the second program updated.

&RPPHQWVRQWKHTXHULHV

Note: Activating the presentation hierarchy in a query:

The following reports require a presentation hierarchy (program hierarchy) for the characteristic 0PROG_POS inorder to display the data in a meaningful way.

Currently you cannot freely specify the presentation hierarchy of a query at runtime. You have to define it in thequery definition. However, this can only be done in the customer system since the hierarchy name is not knownbeforehand.

Carry out the following procedure:

1. Call the query in the Business Explorer Analyzer.

2. Choose the &KDQJHTXHU\ icon.

3. Choose the ([WHQGHGFKDQJH icon

4. Press the right mouse button on 3URJUDPSRVLWLRQ.

5. Choose the $WWULEXWHV function.

6. Choose the required presentation hierarchy using the entry help (the hierarchy must already have been loadedfrom the OLTP and activated).

7. Set the presentation hierarchy to DFWLYH.

8. Save the changed query as a new query using 6DYHDV.

Note:

Replace the SAP exit variables for program names and authorization year in the filter with fixed values for the pro-gram, and replace the hierarchy variable 0H_PROG in the selections for the program position by the name of theprogram hierarchy.

4XHU\,0)$B&B43ODQIRULQYHVWPHQWSURJUDPDQGPHDVXUHV

3XUSRVH

This query displays the planned values for the investment program and measures (for controlling the plan distribu-tion in the program hierarchy), from the program to the measures as well as within the yearly cycle.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Plan for program item Planned values of the investment program positions

Plan for measures Planned values of the measures

7LPHVWUXFWXUH &RPPHQWV

Overalll Overall value




Reference year Value in reference year

Reference year + 1

Reference year + 2

All following Total of the values in all the following years

Any reference year can be entered in the selection screen.

)UHHFKDUDFWHULVWLFV



0WBS_AS_ELE WBS element

4XHU\,0)$B&B4%XGJHWIRULQYHVWPHQWSURJUDPDQGPHDVXUHV

3XUSRVH

This query displays the budget values on the investment program and on the measures (for controlling budget dis-tribution in the program hierarchy), from the program to the measures as well as within the yearly segments.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Budget for program item Budget values of the investment program positions

Budget for measures Budget values of the measures

7LPHVWUXFWXUH &RPPHQWV

Overall Overall value

Reference year Value in reference year

Reference year + 1

Reference year + 2

All following Total of the values in all the following years

Any reference year can be entered in the selection screen.

)UHHFKDUDFWHULVWLFV







0VTDETAIL Details of value type

&RPPHQWV

The budget can be expanded to show the original budget and the updated budget by displaying the details of thevalue type.

4XHU\,0)$B&B4$YDLODEOHSODQ

3XUSRVH

This query shows the availability in relationship to the plan values.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Plan Plan values of the program positions and measures

Assigned Actual + commitment

Available Plan - assigned

Actual Actual values on the measures

Commitment Commitments on the measures

)UHHFKDUDFWHULVWLFV




0FISCYEAR Business year

4XHU\,0)$B&B4$YDLODEOHEXGJHW

3XUSRVH

This query shows the availability in relationship to the budget values.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Budget Budget values of the program positions and measures




Assigned Actual + commitment

Available Budget – assigned

Actual Actual values on the measures

Commitment Commitments on the measures

)UHHFKDUDFWHULVWLFV




0VTDETAIL Details of value


&RPPHQWV

The budget can be expanded to show the original budget and the updated budget by displaying the details of thevalue type.




(&(QWHUSULVH&RQWUROOLQJ

(&3&$3URILW&HQWHU$FFRXQWLQJ

,QIR&XEH3&$B&3&$7UDQVDFWLRQGDWD

&RQWHQW

This InfoCube contains all of the period totals for profit and loss accounts and balance sheet accounts from ProfitCenter Accounting (PCA), which were loaded from the affiliated source system(s).

,QIR6RXUFHV

0EC_PCA_1Profit Center: Transaction data

&KDUDFWHULVWLFV



0ACCOUNT Account number Yes Yes





0FUNC_AREA Functional area No No

0PART_PRCTR Partner profit center No Yes

0PROFIT_CTR Profit center No Yes


0VTYPE Value type for Reporting No No



0ORIG_PCA Type of origin object in PCA No No

0PCOMPANY Partner company number No No

0PFUNC_AREA Partner functional area No No

0PLANT Plant Yes No

0PORIG_PCA Partner origin object in PCA No No

0REP_MATL Representative material for PCA No No




0SCOPE Object class No No

0VERSION_RA Results analysis version No No

7LPHFKDUDFWHULVWLFV






.H\ILJXUHV


0BALANCE Accumulated balance 0CURRENCY Semi-additive

0CREDIT Total credit postings 0CURRENCY Additive

0DEBIT Total debit postings 0CURRENCY Additive

0QUANTITY Quantity 0UNIT Additive

8QLWV





To analyze the period totals for profit and loss accounts, use key figure 0DEBIT for debit postings and 0CREDIT forcredit postings. The balance is the total of 0CREDIT and 0DEBIT.

For the balance in balance sheet accounts, use key figure 0BALANCE.


4XHU\3&$B&B43ODQDFWXDOYDULDQFHSURILWDQGORVVDFFRXQWV

3XUSRVH

With this query, you can analyze plan and actual values for all profit and loss accounts, as well as their abso-lute/percentage variance.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Plan Total plan postings

Actual Total actual postings

Variance Actual – Plan

Variance (%) Variance / Plan

)UHHFKDUDFWHULVWLFV


0FUNC_AREA Functional area


0PROFIT_CTR Profit center

0PART_PRCTR Partner profit center

0ACCOUNT Account number

4XHU\3&$B&B43ODQDFWXDOSURILWFHQWHUFRPSDULVRQUHVXOW

3XUSRVH

With this query, you can compare plan and actual postings to the profit and loss accounts of two profit centers.Absolute and percentage variances are displayed.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

3URILWFHQWHU

Plan Total plan postings to profit center 1

Actual Total actual postings to profit center 1

3URILWFHQWHU

Plan Total plan postings to profit center 2

Actual Total actual postings to profit center 2

9DULDQFH 3URILW&HQWHU3URILWFHQWHU

Plan

Actual

9DULDQFH 9DULDQFH3URILWFHQWHU




Plan

Actual

)UHHFKDUDFWHULVWLFV







4XHU\3&$B&B43ODQYHUVLRQFRPSDULVRQUHVXOW

3XUSRVH

With this query, you can compare planning in the profit and loss accounts of two plan versions. Absolute and per-centage variances are displayed.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Plan version 1 Total plan postings for plan version 1

Plan version 2 Total plan postings for plan version 2

Variance Plan version 1 – Plan version 2

Variance (%) Variance / Plan version 1

)UHHFKDUDFWHULVWLFV





0PROFIT_CTR Profit Center






4XHU\3&$B&B43ODQDFWXDOSHULRGFRPSDULVRQUHVXOW

3XUSRVH

With this query, you can compare plan and actual values in the profit and loss accounts of two periods. Absoluteand percentage variances are displayed.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

3HULRG

Plan Total plan postings in period 2

Actual Total actual postings in period 1

3HULRG

Plan Total plan postings in period 2

Actual Total actual postings in period 2

9DULDQFH 3HULRG3HULRG

Plan

Actual

9DULDQFH 9DULDQFHSHULRG

Plan

Actual

)UHHFKDUDFWHULVWLFV







4XHU\3&$B&B4&XUUHQWSHULRG<7'FRPSOHWH\HDUUHVXOW

3XUSRVH

With this query, you can display the following profit-related values: plan and actual postings for the current period,accumulated plan and actual values for the year to date, plan values for the complete year and the difference be-tween these and actual postings to date.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Plan current period Plan postings for the current period

Actual current period Actual postings for the current period

Plan YTD Accumulated plan values for all periods for the year to date

Actual YTD Accumulated actual postings to date

Plan complete year Plan postings for the complete year

Available Plan complete year - Actual YTD

)UHHFKDUDFWHULVWLFV







4XHU\3&$B&B47LPHFRPSDULVRQDFWXDOUHVXOW

3XUSRVH

With this query, you can compare actual postings to profit and loss accounts for all eight quarters of two fiscalyears, together with the two fiscal year totals.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

)LVFDO\HDU

Actual complete year

Actual 1st

quarter

Actual 2nd

quarter

Actual 3rd

quarter

Actual 4th

quarter

)LVFDO\HDU

Actual complete year




Actual 1st quarter

Actual 2nd

quarter

Actual 3rd

quarter

Actual 4

th

quarter

)UHHFKDUDFWHULVWLFV







4XHU\3&$B&B47LPHFRPSDULVRQSODQUHVXOW

3XUSRVH

With this query, you can compare plan postings to profit and loss accounts for all eight quarters of two fiscal years,together with the two fiscal year totals.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

)LVFDO\HDU

Plan complete year

Plan 1st

quarter

Plan 2nd

quarter

Plan 3rd

quarter

Plan 4th quarter

)LVFDO\HDU

Plan complete year

Plan 1st

quarter

Plan 2nd

quarter

Plan 3

rd

quarter

Plan 4th

quarter




)UHHFKDUDFWHULVWLFV







4XHU\3&$B&B43ODQDFWXDOYDULDQFHEDODQFHVKHHWDFFRXQWV

3XUSRVH

With this query, you can analyze plan and actual values of balance sheet accounts and their absolute/percentagevariance.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Plan Plan balance of balance sheet accounts

Actual Actual balance of balance sheet accounts

Variance Actual – Plan


)UHHFKDUDFWHULVWLFV







4XHU\3&$B&B43URILWDIWHUFDSLWDOFRVWV

3XUSRVH

This query calculates the key figure "Profit after capital costs" on the basis of the profit and loss accounts and bal-

ance sheet accounts. It provides a comparison of the plan and actual value of Profit after captial costs.

A market interest rate must be set for the calculation. The capital costs are then subtracted from the operatingprofit. These capital costs represent interest on fixed capital raised at the market interest rate.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

5HVXOW Alternatively, define an account group in R/3 or in BW.

Plan

Actual

)L[HGFDSLWDO Alternatively, define an account group in R/3 or in BW.

Plan

Actual

&DSLWDOFRVWV 0DUNHWLQWHUHVWLQSHUFHQWIL[HGFDSLWDO

Plan

Actual

3URILWDIWHUFDSLWDOFRVWV 5HVXOW&DSLWDOFRVWV

Plan

Actual

)UHHFKDUDFWHULVWLFV






4XHU\3&$B&B45HWXUQRQ,QYHVWPHQW

3XUSRVH

This query calculates the key figure "Return on Investment" (ROI) on the basis of the profit and loss accounts andbalance sheet accounts. It provides a comparison of the plan and actual value of the Return on Investment.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

5HVXOW Alternatively, define an account group in R/3 or in BW.

Plan

Actual




)L[HGFDSLWDO Alternatively, define an account group in R/3 or in BW.

Plan

Actual

52, 5HVXOW)L[HGFDSLWDO

Plan

Actual

)UHHFKDUDFWHULVWLFV






,QIR&XEH3&$B&3&$6WDWLVWLFDONH\ILJXUHV

&RQWHQW

This InfoCube contains all statistical key figures from Profit Center Accounting (PCA), which are loaded from theaffiliated source system(s).

,QIR6RXUFHV

0EC_PCA_2Profit Center: Statistical key figures

&KDUDFWHULVWLFV


DWWULEXWHDYDLODEOH"

([WHUQDO KLHUDUFK\

DYDLODEOH"



0PROFIT_CTR Profit Center No Yes


0VTYPE Value type for Reporting No No

0ORIG_PCA Type of origin object in PCA No No





7LPHFKDUDFWHULVWLFV






.H\ILJXUHV


0QUANTITY Quantity 0UNIT Additive

0QUANT_AVRG Stock quantity 0UNIT Non-additive

8QLWV





For statistical key figures of fixed value type (employees, for example) use key figure 0QUANT_AVRG.

For statistical key figures of total value type (telephone units for example) use key figure 0QUANTITY.


4XHU\3&$B&B46WDWLVWLFDONH\ILJXUHV

3XUSRVH

With this query, you can compare plan and actual values for all statistical key figures (both fixed value type andtotal value type).

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Plan Planned values of statistical key figures

Actual Actual values of statistical key figures

Variance Plan - Actual





)UHHFKDUDFWHULVWLFV






(&&6/HJDO&RQVROLGDWLRQ

,QIR&XEH(&&6B&7UDQVDFWLRQGDWD

&RQWHQW

This InfoCube contains all the transaction data uploaded from the source system(s) for consolidation. The data ispresent both in the form of period balances and non-cumulative values.

,QIR6RXUFHV

0EC_CS_1

&KDUDFWHULVWLFV



0CS_DIMEN Dimension No No

0CS_VERSION Version No No

0CS_HDATFR Hierarchy from No No

0CS_HDATTO Hierarchy to No No

0CS_CHART Consolidation chart of accounts No No

0CS_ITEM Item No Yes

0CS_GROUP Consolidation group No Yes

0CS_UNIT Consolidation unit No No

0CS_SITEMCT Subitem category No No

0CS_SITEM Subitem No No

0ACQ_YEAR Acquisition year No No

0ACQ_PER Period 1. acquisition No No




0CS_PARTNER Partner unit No No

0CS_INVESTE Investee No No

0CS_PLEVEL Posting level No No

0CS_DOCTYPE Document type No No

7LPHFKDUDFWHULVWLFV




.H\ILJXUHV

,QIR2EMHFW 'HVFULSWLRQ 8QLWV,QIR2EMHFW

$JJUHJDWLRQEHKDYLRU

0CS_TRN_LC Sum of transactions LC 0CURKEY_LC Additive

0CS_TRN_GC Sum of transactions GC 0CURKEY_GC Additive

0CS_TRN_TC Sum of transactions TC 0CURKEY_TC Additive

0CS_TRN_QTY Sum of transactions 0UNIT Additive

0CS_YTD_LC YTD in local currency 0CURKEY_LC Additive

0CS_YTD_GC YTD in group currency 0CURKEY_GC Additive

0CS_YTD_TC YTD in transaction currency 0CURKEY_TC Additive

0CS_YTD_QTY YTD quantity 0UNIT Additive

8QLWV


0CURKEY_LC Local currency Currency

0CURKEY_GC Group currency Currency

0CURKEY_TC Transaction currency Currency


The transaction data in the application EC-CS is dependent on a consolidation group hierarchy. Since this itself istime-dependent, the characteristics 0CS_HDATFR and 0CS_HDATTO must be transferred to the filter togetherwith the variables 0P_CSHF (Hierarchy from (SAP Exit)) or 0P_CSHT (Hierarchy to (SAP Exit)). These variablesare derived from the query key date and replaced using a SAP Exit. Only this way can you guarantee that the cor-rect data is displayed.

Furthermore, a variable 0P_CSDAT is defined for the query key date. If this variable is not used, the current date isautomatically used as the query key date. Both the validity interval for a consolidation group hierarchy (that may beused) and the two variables mentioned above are derived from the query key date.




To use a restricting consolidation group hierarchy, you should use the variables 0H_CG or0N_CG/0N_CG1/0N_CG2 for the hierarchy name or hierarchy node. The hierarchy’s validity date remains free andis automatically replaced by the query key date.

When using cumulative key figures, you should ensure that the fiscal year/period is defined exactly. This is be-cause of the aggregation behavior. You therefore eliminate any implicit cumulation with regard to time. This wouldlead to incorrect results.

The cumulative key figures are not automatically available for all periods. If, in OLTP EC-CS, consolidation fre-quencies are defined for all consolidation groups in all versions and dimensions, then the cumulative results areavailable for the most detailed closing periods. Otherwise the cumulative values for all periods are transferred intothe Cube.

4XHU\(&&6B&B4&XUUHQW\HDUZLWKVWUXFWXUH%DODQFHVKHHW

3XUSRVH

This query serves to display the cumulative transaction data from a fiscal year for the balance sheet, and to show

the percentage share of the total assets/liabilities in each case.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

YTD quantity in GC For selected fiscal year/period (to be entered on selection screen)

% share % share of total assets/liabilities

)UHHFKDUDFWHULVWLFV


0CS_UNIT Consolidation unit

0CS_SITEM Subitem

0CS_ITEM Item (vertical breakdown)

4XHU\(&&6B&B43UHYLRXV\HDUFRPSDULVRQZLWKYDULDQFH

3XUSRVH

This query serves to display the cumulative transaction data from a fiscal year and the previous year, and also toshow the absolute and percentage variances.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

YTD quantity in GC FY For selected fiscal year/period (to be entered on selection screen)

YTD quantity in GC Prev. Yr For the previous year (determined from the fiscal year entered)




Absolute variance Previous year - Fiscal year

Relative variance (Previous year - Fiscal year) / Fiscal year * 100

)UHHFKDUDFWHULVWLFV



0CS_SITEM Subitem


4XHU\(&&6B&B40XOWL\HDUFRPSDULVRQ

3XUSRVH

This query serves to display the cumulative transaction data in a five-year comparison.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

YTD quantity in GC FY For selected fiscal year/period (to be entered on selection screen)

YTD quantity in GC FY -1 For the fiscal year entered – 1 (determined automatically)




)UHHFKDUDFWHULVWLFV



0CS_SITEM Subitem


4XHU\(&&6B&B44XDUWHUFRPSDULVRQ

3XUSRVH

This query serves to display the transaction data from a quarter and another comparison quarter, and also to showthe absolute and percentage variances.




6WUXFWXUH

.H\ILJXUH &RPPHQWV

Quarter Period balances in GC for the selected Quarter (last period of quarter to beentered on selection screen)

Comparison quarter Period balances in GC for the selected comparison quarter (last period ofcomparison quarter to be entered on selection screen)

Absolute variance Comparison quarter - Quarter

Relative variance (Comparison quarter - Quarter) / Quarter * 100

)UHHFKDUDFWHULVWLFV



0CS_SITEM Subitem


4XHU\(&&6B&B40RQWKFRPSDULVRQ

3XUSRVH

This query serves to display the period values for any two months, and also to show the absolute and percentagevariances.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Period Period balances for the selected period (to be entered on selection screen)

Comparison period Period balances for the selected period (to be entered on selection screen)

Absolute variance Comparison period - Period

Relative variance (Comparison period - Period) / Period * 100

)UHHFKDUDFWHULVWLFV



0CS_SITEM Subitem





4XHU\(&&6B&B4&RPSDULVRQORFDOJURXSFXUUHQF\

3XUSRVH

This query serves to display the cumulative transaction data for a consolidation unit in local and group currenciesfor the aggregated balance sheet, and shows the resulting exchange rate.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

YTD quantity in LC For the selected fiscal year (to be entered on selection screen)

YTD quantity in GC For the selected fiscal year (without eliminating entries)

Exchange rate Group currency / local currency

)UHHFKDUDFWHULVWLFV


0CS_SITEM Subitem


4XHU\(&&6B&B49HUVLRQFRPSDULVRQ

3XUSRVH

This query serves to display the cumulative transaction data from two versions, and also to show the absolute andpercentage variances.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Version YTD quantity in GC for the selected fiscal year and version (to be enteredon selection screen)

Comparison version YTD quantity in GC for the selected fiscal year and comparison version (tobe entered on selection screen)

Absolute variance Comparison version - Version

Relative variance (Comparison version - Version) / Version * 100

)UHHFKDUDFWHULVWLFV



0CS_SITEM Subitem





4XHU\(&&6B&B4&RQVROLGDWLRQXQLWFRPSDULVRQ

3XUSRVH

This query serves to display the cumulative transaction data column by column from all consolidation units of aconsolidation group.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

YTD quantity in GC For the selected fiscal year (to be entered on selection screen)

)UHHFKDUDFWHULVWLFV


0CS_SITEM Subitem

0CS_UNIT Consolidation unit (horizontal breakdown)


4XHU\(&&6B&B4&RQVROLGDWLRQJURXSFRPSDULVRQ

3XUSRVH

This query serves to compare the cumulative transaction data for two consolidation groups, and to display the ab-solute and percentage variances.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Consolidation group 1 YTD quantity in GC for the selected fiscal year and the selected consolida-tion group 1 (to be entered on selection screen)

Consolidation group 2 YTD quantity in GC for the selected fiscal year and the selected consolida-tion group 2 (to be entered on selection screen)

Absolute variance Consolidation group 2 – Consolidation group 1

Relative variance (Consolidation group 2 – Consolidation group 1) / Consolidation group 1 *100

)UHHFKDUDFWHULVWLFV


0CS_SITEM Subitem





4XHU\(&&6B&B4&RQVROLGDWLRQXQLW&RQVROLGDWLRQJURXSFRPSDULVRQ

3XUSRVH

This query serves to compare the cumulative transaction data for a consolidation unit and a consolidation group, to

display the absolute variance, and also to show the consolidation unit’s share of the consolidation group.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Consolidation unit YTD quantity in GC for the selected fiscal year and the selected consolida-tion unit (to be entered on selection screen)

Consolidation group YTD quantity in GC for the selected fiscal year and the selected consolida-tion group (to be entered on selection screen)

Absolute variance Consolidation group – Consolidation unit

CU share of CG in % Consolidation unit / Consolidation group * 100

)UHHFKDUDFWHULVWLFV


0CS_SITEM Subitem


4XHU\(&&6B&B4 'HYHORSPHQWRI &RQVROLGDWHGYDOXHORFDO YDOXDWLRQ

3XUSRVH

This query serves to display the cumulative transaction data in the historical development of the reported financialdata through standardizing entries, eliminating entries for IU payables and receivables, eliminating entries for in-vestment income, and consolidation of investment postings right up to the consolidated value.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Reported financial data YTD quantity in GC for the selected fiscal year (to be entered on selectionscreen) for the posting levels Space and 00

Standardizing entries YTD quantity in GC for the selected fiscal year (to be entered on selectionscreen) for document type 15

Eliminating entries for IUpayables and receivables

YTD quantity in GC for the selected fiscal year (to be entered on selectionscreen) for document type 21

Elimination of investment

income

YTD quantity in GC for the selected fiscal year (to be entered on selection

screen) for document type 23




Consolidation of investments YTD quantity in GC for the selected fiscal year (to be entered on selectionscreen) for document type 51

Consolidated value Reported financial data + Standardizing entries + Eliminating entries for IUpayables and receivables + Elimination of investment income + Consolida-tion of investments

)UHHFKDUDFWHULVWLFV


0CS_GROUP Consolidation group


0CS_PARTNER Partner unit


4XHU\(&&6B&B46DOHVE\UHJLRQ

3XUSRVH

This query serves to list in the columns the cumulative transaction for the sales items by region.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Cum. value in GC For the selected fiscal year (to be entered on selection screen)

)UHHFKDUDFWHULVWLFV



0CS_SITEM Subitem (horizontal breakdown by region – compound characteristic Su-bitem type 0CS_SITEMCT value 4 (= region) saved permanently)


4XHU\(&&6B&B4,6E\IXQFWLRQDODUHD

3XUSRVH

This query serves to list the cumulative transaction data for income statement items in the columns by functionalarea.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Cum. value in GC For the selected fiscal year (to be entered on selection screen)




)UHHFKDUDFWHULVWLFV



0CS_SITEM Subitem (horizontal breakdown by region – compound characteristic Su-

bitem type 0CS_SITEMCT value 2 (= functional area) saved permanently)


4XHU\(&&6B&B4$VVHWKLVWRU\VKHHW

3XUSRVH

This query serves to display the cumulative transaction data for the fixed asset items in their horizontal develop-ment (from opening inventory to closing inventory) for one consolidation unit.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Opening inventory YTD quantity in GC for the selected fiscal year (to be entered on selectionscreen) and subitems 100 and 200 of subitem type 1 (= fixed asset trans-action types)

Acquisitions YTD quantity in GC for the selected fiscal year (to be entered on selectionscreen) and subitems 120 and 220 of subitem type 1 (= fixed asset trans-action types)

Divestitures YTD quantity in GC for the selected fiscal year (to be entered on selectionscreen) and subitems 140 and 240 of subitem type 1 (= fixed asset trans-action types)

Transfers YTD quantity in GC for the selected fiscal year (to be entered on selectionscreen) and subitems 170 and 270 of subitem type 1 (= fixed asset trans-action types)

Closing inventory Opening inventory + Acquisitions + Divestitures + Transfers

)UHHFKDUDFWHULVWLFV






+XPDQ5HVRXUFHV

3$3$3HUVRQQHO$GPLQLVWUDWLRQ

,QIR&XEH3$B&+HDGFRXQWDQG3HUVRQQHO$FWLRQV

&RQWHQW

The InfoCube +HDGFRXQWDQG3HUVRQQHO$FWLRQV (0PA_C01) contains all transaction data based on headcount andpersonnel actions. The data in this InfoCube is extracted from the InfoSources (PSOR\HH(0HR_PA_0) and 3HUVRQQHO$FWLRQV (0HR_PA_1).

The InfoCube contains, among other things, the general key figures 1XPEHU RI (PSOR\HHV (0HDCNT_LAST),1XPEHURI3HUVRQQHO$FWLRQV (0ACTION_CNT), and +HDGFRXQW)7((0HDCNT_FTE). Restricted key figures thattake certain personnel action types into account (e.g.+LULQJ , /HDYLQJ ) or show the (QWULHVor /HDYHUV)7( , or those

that show the 1XPEHURI)XOORU3DUW7LPH:RUNHUV are also contained in the standard R/3 System. The followingtime dimensions are available for evaluation purposes (as well as others): "Calendar day", "Calendar year/month","Calendar year/quarter", and "Calendar year".

You can evaluate these key figures according to various criteria:

• Personal data (e.g. nationality, gender, language)

• Organizational data (e.g. personnel area, employee group, organizational unit)

Additional templates/structures containing key figures or certain calculation rules for the InfoCube are contained inthe standard R/3 System. These templates enable you to quickly and easily carry out frequently-required evalua-tions, such as those used to determine the leaving rate or to compare the headcount of the current and previous

years (with absolute and percentage differences).

For more information on the technical elements (characteristics, time characteristics, etc) of the InfoCubes, refer to5HPDUNVRQWKH ,QIR&XEH.

,QIR6RXUFHV

0HR_PA_0: Employee

0HR_PA_1: Personnel Actions

&KDUDFWHULVWLFV,QIR2EMHFW 'HVFULSWLRQ 1DYLJDWLRQ FKDUDF

WHULVWLFVDYDLODEOH"([WHUQDO KLHUDUFK\DYDLODEOH"

0EMPLOYEE Employee No No

0PERSON Person No No

0ACTIONTYPE Action type No No

0ACTIONREAS Reason for action No No

0PERS_AREA Personnel area No No

0PERS_SAREA Personnel subarea No No

0AGE_RANGE Age range No No

0COUNTY_CDE County code No No




0GENDER Gender No No


0AGE Age No Yes - using CSV file

0NATION Nationality No No

0POSTAL_CD Postal code No No

0REGION Region (state, province, county) No No

0PERSLANGU Language No No

0CO_MST_AR Master cost center controllingarea

No No

0MAST_CCTR Master cost center No Yes

0ORGUNIT Organizational unit No Yes

0HRPOSITION Position No No

0JOB Job No No

0PAYPCT_CHA Capacity utilization level No Yes - using CSV file

0EMPLSTATUS Employment status No No


0EMPLGROUP Employee group No No

0EMPLSGROUP Employee subgroup No No

0PAYRL_AREA Payroll accounting area No No

0COUNTRY_ID Country grouping No No

0ESGFORCAP Employee subgroup grouping forpayscale provision

No No

0PAYSCALETY Pay scale type No No

0PAYSCALEAR Pay scale area No No

0PAYSCALEGR Pay scale group No No

0PAYSCALELV Pay scale level No No

7LPH&KDUDFWHULVWLFV



0CALDAY Calendar day0CALMONTH Calendar day/month

0CALQUARTER Calendar day/quarter

0CALMONTH2 Calendar month

0CALQUART1 Quarter

.H\)LJXUHV

,QIR2EMHFW 'HVFULSWLRQ ,QIR2EMHFWXQLWV $JJUHJDWLRQ EHKDYLRU

0ACTION_CNT Number of personnel actions Additive

0HDCNT_LAST Number of employees Last




0AGE_KYF Age in years Last

0PAYPCT Capacity utilization level in per-cent

Last

0HDCNT_FTE Headcount FTE Last

5HVWULFWHG.H\)LJXUHV,QIR2EMHFW 'HVFULSWLRQ &RQGLWLRQ

0R_PA_003 Entries FTE Headcount FTErestricted to person-nel action type (QWULHV

0R_PA_001 Number of Entries Number of person-nel actions restrictedto personnel actiontype +LULQJ

0R_PA_006 Number of Part-Time Workers Number of workers

with a capacity utili-zation level <99%

0R_PA_005 Number of Full-Time Workers Number of workerswith a capacity utili-zation level that =100%

0R_PA_002 Number of Leavers Number of person-nel actions restrictedto personnel actiontype /HDYLQJ

0R_PA_004 Leavers FTE Headcount FTE

restricted to thepersonnel actiontype /HDYLQJ

7HPSODWHV6WUXFWXUHV

7HFKQLFDO1DPH 'HVFULSWLRQ (OHPHQW )RUPXOD

Previous year

(&0T_CYEAR&)

Previous year = current calendaryear - 1

(&0CYEAR&-1)

Current calendar year

(&0T_CYEAR&)

Current calendar year = variablecalendar year

(&0CYEAR&)

Difference Difference = current calendar year- previous year

0QT_PA_001 Compare previ-ous year andcurrent year

Difference in % Difference in % = (current calen-dar year - previous year) / previ-ous year * 100

0QT_PA_009 Last 4 quarter

comparison

Current quarter - 4

(&0T_CQUAT&-4)

Current quarter - 4

(&0CQUART&-4)




Current quarter - 3

(&0T_CQUAT&-3)

Current quarter - 3

(&0CQUART&-3)

Current quarter - 2

(&0T_CQUAT&-2)

Current quarter - 2

(&0CQUART&-2)

Current quarter - 1

(&0T_CQUAT&-1)

Current quarter - 1

(&0CQUART&-1)

Current quarter - 4

(&0T_CQUAT&-4)

Current quarter - 4

(&0CQUART&-4)

Current quarter - 3

(&0T_CQUAT&-3)

Current quarter - 3

(&0CQUART&-3)

Current quarter - 2

(&0T_CQUAT&-2)

Current quarter - 2

(&0CQUART&-2)

Current quarter - 1

(&0T_CQUAT&-1)

Current quarter - 1

(&0CQUART&-1)

0QT_PA_010 Average last 4quarters

Average 4 quarters Σ of the quarterly value / 4

Headcount FTE0QT_PA_011 PercentageBreakdown ofHeadcount FTE Percentage distribution

of headcount FTEPercentage distribution ofheadcount FTE = headcount FTEper feature value / total headcountFTE * 100

1st

quarter of previous year

Quarter (0CALQUART1) re-stricted to 1 and &0CYEAR&-1

2nd



3rd



4th



0QT_PA_012 Average 4 quar-ters - previousyear

Average 4 quarters -previous year

Σ of the quarterly values (previousyear) / 4

0QT_PA_013 Comparison of 4quarters - previ-

ous year

1st






2nd quarter of previous year


3rd



4th quarter of previous year


January previous year

Month (0CALMONTH2) restrictedto 1 and &0CYEAR&-1

February previous year


…

December previous year


0QT_PA_014 Average 12months previousyear

Average 12 monthsprevious year

Σ of the monthly values (previousyear) / 12





…

0QT_PA_015 Comparison 12months previousyear



Number of employees

Total age in years

0QT_PA_006 Employees' Av-erage Age

Employees' average

age

Employees' average age = total

age in years / number of employ-ees




Number of employees 1st quarterprevious year

Number of employees, quarter(0CALQUART1) restricted to 1and &0CYEAR&-1

Number of employees 2nd quarterprevious year


Number of employees 3rd

quarterprevious year

Number of employees, quarter(0CALQUART1) restricted to 3

and &0CYEAR&-1

Number of employees 4th



(Average headcountprevious year)


Number of Entries

(previous year)

Number of entries (previous year)

(&0CYEAR&-1)

0QT_PA_017 Entry Rate

Entry rate Entry rate = number of entries(previous year) / averageheadcount (previous year) * 100

Number of Entries

Number of Leavers

0QT_PA_003 Net Entry Rate

Net Entry Rate Net entry rate = number of entries

/ number of leavers

Number of employees 1st



0QT_PA_016 Leaving Rate

Number of employees 2nd


Number of employees, quarter

(0CALQUART1) restricted to 2and &0CYEAR&-1




Number of employees 3rd quarterprevious year


Number of employees 4th quarterprevious year


Average Headcount(previous year)


Number of Leavers(previous year)

Number of leavers (previous year)

(&0CYEAR&-1)

Leaving Rate Leaving rate = number of leavers(previous year) / averageheadcount (previous year) * 100

Number of Employees0QT_PA_005 PercentageBreakdown ofEmployees Percentage Breakdown

of EmployeesPercentage breakdown of em-ployees = number of employeesper characteristic value / totalnumber of employees * 100

Number of Entries0QT_PA_008 PercentageBreakdown ofEntries Percentage Breakdown

of EntriesPercentage breakdown of entries= number of entries per charac-teristic value / total number ofentries * 100

Number of Leavers0QT_PA_007 Percentagebreakdown ofLeavers Percentage Breakdown

of LeaversPercentage breakdown of leavers= number of leavers per charac-teristic value / total number of

leavers* 100





&KDUDFWHULVWLFV

$JH5DQJH (0AGE_RANGE) and $JHLQ<HDUV (0AGE) are calculated characteristics.

• The $JH5DQJH characteristic contains an employee’s age, which is calculated from the date of birth and theperiod in the relevant InfoSource. The ranges are specified by the update rules.

Note that you must manually maintain the master data for this characteristic as follows:

0 not available

1 < 20

2 20 - 29

3 30 - 39

4 40 - 49

5 50 - 59

6 60 - 69

7 ≥ 70

• The $JHLQ<HDUV characteristic contains an employee’s age at the end of the period. You can (depending onyour individual enterprise requirements) define a hierarchy for age and thereby depict the age profile in your

enterprise. You can use this characteristic (0AGE_KYF) to make calculations based on employees’ age inyears.

The age characteristics are calculated at the end of the period using the update rules. The period is dependent onthe InfoSource used**. For example, the period end can fall either at the end of a calendar day or a calendarmonth, depending on which InfoSource you are using.

A person can have multiple assignments within an enterprise. To be able to distinguish between employee rela-tionships (Employees = 0EMPLOYEE) and real people (0PERSON), the person is deemed an attribute of the em-ployee.

+LHUDUFKLHV

If hierarchies exist for the InfoObjects 2UJDQL]DWLRQDO8QLW (0ORGUNIT) and 0DVWHU&RVW&HQWHU (0MAST_CCTR),you can activate them using the $WWULEXWHV function. This allows you to depict hierarchical, multi-level aggregations.

• Hierarchies are defined for the $JH(0AGE) and &DSDFLW\8WLOL]DWLRQ/HYHO(0PAYPCT_CHA) features. You candefine these hierarchies manually yourself or by using a CSV file.

You can define your own hierarchies. This gives you flexibility when defining the ranges within the structuree.g. in five year intervals (25 - 29 years, 30 - 34 years). Defining the age structure yourself has several advan-tages over using the pre-defined age structure in the $JH5DQJH characteristic (0AGE_RANGE).

You can represent your enterprise’s age structure using hierarchies in the following manner:

<20

[ ]

x<

20

20 - 24 [ ] 20 ≤ x ≤ 24




25 - 29 [ ] 25 ≤ x ≤ 29

30 - 34 [ ] 30 ≤ x ≤ 34

35 - 39 [ ] 35 ≤ x ≤ 39

…

On the other hand, you can upload the hierarchy from the CSV file delivered by SAP.

To do so, proceed as follows:

1. Select the tab page 6RXUFHV\VWHPVin the $GPLQLVWUDWRU:RUNEHQFK.

2. Position the cursor on the top node 6RXUFHV\VWHPand select &UHDWHVRXUFHV\VWHP using the right mousebutton.

3. Select the radio button )LOHV\VWHPPDQXDOPHWDGDWDGDWDXVLQJILOHLQWHUIDFHon the 6HOHFWVRXUFHV\VWHPW\SHdialog box.

4. Enter $*(B)LOHin the 6RXUFHV\VWHPfield and $JHLQ\HDUV in the 6RXUFHV\VWHPQDPHfield on the dia-log box &UHDWHVRXUFHV\VWHPConfirm your entries.

5. Select the ,QIR6RXUFHV tab page.

6. Position the cursor on the superior node 0DVWHU GDWD 3HUVRQQHO $GPLQLVWUDWLRQ and select &UHDWH,QIR6RXUFHusing the right mouse button.

7. Select the 0DVWHUGDWDWH[WVKLHUDUFKLHVradio button on the &UHDWH,QIR6RXUFH6HOHFWW\SH dialog box.

8. Enter $*(in the ,QIR2EMHFWfield on the &UHDWH,QIR6RXUFHPDVWHUGDWDdialog box. Confirm your entries.

9. Position the cursor on the subordinate node $JHLQ \HDUVand select $VVLJQVRXUFHV\VWHP using the rightmouse button.

10. Enter $*(B)LOHin the 6RXUFHV\VWHPfield on the dialog box 0DVWHUGDWD,QIR6RXUFH$VVLJQVRXUFHV\VWHP. Confirm your entries.

11. Then select the &UHDWHKLHU(create hierarchy) pushbutton on the 0DLQWDLQPHWDGDWDscreen.

12. Enter $*(in the field +LHUDUFK\QDPH, $JHLQ\HDUVKLHUDUFK\in the field/RQJGHVFULSWLRQ, and an ;inthe 6RUWHGKLHUDUFK\ , and ,QWHUYDO fields on the &UHDWHKLHUDUFK\1DPHdialog box.

13. Select the 6DYHKLHU pushbutton (save hierarchy) and then the 6DYHand &ORVH pushbuttons.

14. Position the cursor again on the subordinate node $JHLQ\HDUVKLHUDUFK\and select &UHDWH,QIR3DFNDJHusing the right mouse button.

15. Enter a user-defined description in the /RQJGHVFULSWLRQ field on the &UHDWH ,QIR3DFNDJHdialog window.Confirm your entries.

16. Select the ([WHUQ'DWD tab page on the 6FKHGXOHUPDLQWDLQ,QIR3DFNDJHscreen.

17. Select the $SSOLFDWLRQVHUYHUradio button in the /RDGH[WHUQDOGDWDIURP group box and the &69ILOHradiobutton in the )LOHW\SHLIFRQWUROVZLWFKHGRIIgroup box.

18. Enter $*(B'&69for the German node text and $*(B(&69for the English node text in the field )LOHQDPH. Save you entries.

• Hierarchy for the &DSDFLW\XWLOL]DWLRQOHYHOfeature.




You can also define your own hierarchies.

You can also up load the hierarchy from the CSV file delivered by SAP.

Proceed in exactly the same way as described above for the $JHLQ\HDUV feature. When doing so, use the fol-lowing information:

6RXUFHV\VWHP:3$<3&7B)LOH

1DPHRIVRXUFHV\VWHP &DSDFLW\XWLOL]DWLRQOHYHOLQ

,QIR2EMHFW 3$<3&7B&+$

+LHUDUFK\QDPH&$3$&,7<87,/,=$7,21/(9(/

/RQJGHVFULSWLRQ(of the hierarchy name): &DSDFLW\XWLOL]DWLRQOHYHOLQKLHUDUFK\

)LOHQDPH: 3$<3&7B'&69 (for the German node text), 3$<3&7B(&69 (for English node text).

5HVWULFWHG.H\)LJXUHV

The restricted key figures are derived from an InfoCube’s key figures and are reduced to one or more InfoCubecharacteristics. For example, the restricted key figures 1XPEHURI(QWULHV (0R_PA_001) and 1XPEHURI/HDYHUV(0R_PA_002) are derived in this way.

8SGDWH5XOHV

In** the update rules, numerous fields are read from the master data tables to the period end (usually the last dayof the month) and are written to the InfoCube as characteristics. For this reason, it is necessary that the masterdata is loaded and activated before the InfoSources.

6WUXFWXUHV

In templates/structures in which time periods are taken into account, the periods are represented by text variables(&0T_CYEAR&, &0T_CQUAT&), and the relevant values (calendar years, calendar quarters) are automaticallygenerated when the queries are executed.

Example:

In the "Compare previous year with current year" structure, the text variable &0T_CYEAR& is used for "previousyear" and "current year". When the query is executed, the text variable is replaced by the relevant calendar yeari.e. "previous year" is replaced by "1998" and "current year" by "1999".

In the &RPSDUH/DVW)RXU4XDUWHUV(0QT_PA_009) and $YHUDJH/DVW4XDUWHUV(0QT_PA_010) structures, calcu-lations begin with the last quarter for which you have complete figures. For example, if a query compares 4 quar-

ters and begins in the second quarter of 1999, the following 4 quarters are compared: 1/99, 4/98, 3/98 and 2/98.




+HDGFRXQW3HUVRQQHO6WUXFWXUH

4XHU\3$B&B4+HDGFRXQW&KDQJHLQ6WDIILQJ/HYHO

3XUSRVH

This query displays the headcount as well as changes to the staffing level as an annual comparison (compare cur-rent year/previous year; with absolute and percentage differences). Personal as well as organizational data is usedfor the evaluation.

7HPSODWHV6WUXFWXUHV

7HFKQLFDOQDPH 'HVFULSWLRQ (OHPHQW )RUPXOD

Previous year

(&0T_CYEAR&)

Previous year = current calendaryear – 1

(&0CYEAR&-1)


(&0T_CYEAR&)

Current calendar year = variable

current calendar year

(&0CYEAR&)

Difference Difference = current calendar year – previous year

0QT_PA_001 Compare previ-ous year withcurrent year


.H\)LJXUHV

7HFKQLFDOQDPH 'HVFULSWLRQ 5HPDUN

0HDCNT_LAST Number of employees

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee

0EMPLSTATUS Employment status

0GENDER Gender

0NATION Nationality

0AGE Age in years

0PERS_AREA Personnel area

0PERS_SAREA Personnel subarea

0EMPLGROUP Employee group

0EMPLSGROUP Employee subgroup

0MAST_CCTR Master cost center

/LQH&KDUDFWHULVWLFV


0ORGUNIT Organizational unit




4XHU\3$B&B4$YHUDJH+HDGFRXQW

3XUSRVH

This query displays the headcount for the four quarters of the previous year and calculates an average. Personalas well as organizational data is used in the evaluation.

7HPSODWHV6WUXFWXUHV


1st



2nd



3rd



4th






.H\)LJXUHV



)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV



4XHU\3$B&B4$YHUDJH+HDGFRXQW0RQWKV

3XUSRVH

This query displays the various headcounts for the 12 months of the previous year and calculates an average. Per-sonal as well as organizational data is used in the evaluation.

7HPSODWHV6WUXFWXUHV






…


Month (0CALMONTH2) restricted

to 12 and &0CYEAR&-1

0QT_PA_014 Average 12months previous

year

Average 12 monthsprevious year

Σ of the monthly values (previousyear) / 12

.H\)LJXUHV



)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years



0EMPLGROUP Employee group0EMPLSGROUP Employee subgroup





/LQH&KDUDFWHULVWLFV



4XHU\3$B&B43HUFHQWDJH%UHDNGRZQRI(PSOR\HHV

3XUSRVH

This query displays the percentage of total employees for the evaluation characteristic chosen for the current cal-endar year. Personal as well as organizational data is used for the evaluation.

You can use this query to evaluate the percentage of employees according to gender as well as nationality.

7HPSODWHV6WUXFWXUHV


Number of Employees0QT_PA_005 PercentageBreakdown ofEmployees Ac-cording to Char-acteristics

Percentage Breakdownof Employees Accord-ing to Characteristics

Percentage breakdown of em-ployees according to characteris-tics = number of employees percharacteristic value / entire num-ber of employees * 100

.H\)LJXUHV



Percentage Breakdown of Employees Key figure is calculated instructure 0QT_PA_005.

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV



&ROXPQ&KDUDFWHULVWLFV


&0CYEAR& Current calendar year

4XHU\3$B&B4(PSOR\HHV¶$YHUDJH$JH

3XUSRVH

This query displays the employees’ average age for the current calendar year. Personal as well as organizationaldata is used for the evaluation.

7HPSODWHV6WUXFWXUHV


Number of Employees

Total age in years

0QT_PA_006 Employees’ Av-erage Age

Employees’ AverageAge

Employees’ average age = totalage in years / number of employ-ees

.H\)LJXUHV



0AGE_KYF Total age in years

Employees‘ average age Key figure is calculated instructure 0QT_PA_006.

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV






4XHU\3$B&B4+HDGFRXQW3DUW7LPH)XOO7LPH:RUNHUV

3XUSRVH

This query shows the number of part-time and full-time employees for the current calendar year. Personal as wellas organizational data is used for the evaluation.

.H\)LJXUHV


0R_PA_006 Number of Part-Time Workers

0R_PA_005 Number of Full-Time Workers

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee

0EMPLSTATUS Employment status0GENDER Gender

0NATION Nationality

0AGE Age in years






/LQH&KDUDFWHULVWLFV









4XHU\3$B&B4+HDGFRXQW$FFRUGLQJWR&DSDFLW\8WLOL]DWLRQ/HYHO

3XUSRVH

This query shows the number of employees according to the capacity utilization level as an annual comparison(compare current year/previous year; with absolute and percentage differences). Personal as well as organizationaldata is used in the evaluation.

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)


(&0T_CYEAR&)


(&0CYEAR&)


0QT_PA_001 Compare previ-ous year andcurrent year


.H\)LJXUHV



)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years






/LQH&KDUDFWHULVWLFV


0PAYPCT_CHA Capacity utilization level




+HDGFRXQW3HUVRQQHO6WUXFWXUH)7(

4XHU\3$B&B4+HDGFRXQW)7(

3XUSRVH

This query shows the headcount as a full-time equivalent, as well as the changes to the headcount FTE as an an-nual comparison (compare current year/previous year; with absolute and percentage differences). Personal as wellas organizational data is used for the evaluation.

For further information about headcount FTE (full-time equivalent), see the key figure documentation of the samename.

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)


(&0T_CYEAR&)


(&0CYEAR&)


0QT_PA_001 Compare previ-

ous year andcurrent year

Difference in % Difference in % = (current calen-dar year - previous year) / previ-

ous year * 100

.H\)LJXUHV


0HDCNT_FTE Headcount FTE

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV



4XHU\3$B&B43HUFHQWDJH%UHDNGRZQRI+HDGFRXQW)7(

3XUSRVH

This query shows the percentage breakdown of the headcount FTE in relation to the total headcount FTE based onthe evaluation criteria used for the current calendar year. Personal as well as organizational data is used for theevaluation.

7HPSODWHV6WUXFWXUHV


Headcount FTE0QT_PA_011 Percentage

Breakdown ofHeadcount FTE

Percentage distributionof headcount FTE

Percentage distribution ofheadcount FTE = headcount FTEper feature value / total headcountFTE * 100

.H\)LJXUHV



Percentage Breakdown According toHeadcount FTE

Key figure is calculated instructure 0QT_PA_011.

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years






/LQH&KDUDFWHULVWLFV









4XHU\3$B&B4$YHUDJH+HDGFRXQW)7(

3XUSRVH

This query shows the headcount FTE for the previous year’s four quarters and calculates the average. Personal aswell as organizational data is used for the evaluation.

For further information about the headcount FTE, see the key figure documentation of the same name.

7HPSODWHV6WUXFWXUHV


1st quarter of previous year


2nd



3rd quarter of previous year

Quarter (0CALQUART1) re-

stricted to 3 and &0CYEAR&-1

4th






.H\)LJXUHV



)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV



4XHU\3$B&B4+HDGFRXQW+HDGFRXQW)7(&XUUHQW<HDU

3XUSRVH

This query shows the headcount as well as the headcount FTE for the current calendar year. Personal as well asorganizational data is used for the evaluation.

For further information about headcount FTE, see the key figure documentation of the same name.

.H\)LJXUHV




)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years


0PERS_SAREA Personnel subarea0EMPLGROUP Employee group



/LQH&KDUDFWHULVWLFV









3HUVRQQHO)ORZ

4XHU\3$B&B41XPEHURI3HUVRQQHO$FWLRQV

3XUSRVH

This query displays the number of personnel actions as an annual comparison (compare current year/previousyear; with absolute and percentage differences): this is restricted to the personnel action types (DUO\ 5HWLUHPHQW5HWLUHPHQW /HDYLQJ 2UJDQL]DWLRQDO 5HDVVLJQPHQW DQG +LULQJ . Personal as well as organizational data isused for the evaluation.

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)


(&0T_CYEAR&)

Current calendar year = variablecurrent calendar year

(&0CYEAR&)

Difference Difference = current calendar -previous year

0QT_PA_001 Compare previ-ous year/currentyear


.H\)LJXUHV


0ACTION_CNT Number of personnel actions

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV


0ACTIONTYPE Personnel action type

(QWULHV

4XHU\3$B&B41XPEHURI(QWULHV

3XUSRVH

This query displays the number of people who have entered the enterprise as an annual comparison (comparecurrent year/previous year; with absolute and percentage differences). Personal as well as organizational data isused for the evaluation.

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)


(&0T_CYEAR&)


(&0CYEAR&)




.H\)LJXUHV


0R_PA_001 Number of entries

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV



4XHU\3$B&B43HUFHQWDJH%UHDNGRZQRI(QWULHV

3XUSRVH

This query displays a percentage of the total number of people who have entered enterprise according to the cho-sen evaluation characteristic; this is valid for the current calendar year. Personal as well as organizational data isused for the evaluation.

7HPSODWHV6WUXFWXUHV


Number of Entries0QT_PA_008 PercentageBreakdown ofEntries Percentage Breakdown

of EntriesPercentage breakdown of entries= number of entries per charac-teristic / total number of entries *

100

.H\)LJXUHV



Percentage breakdown of entries Key figure is calculated instructure 0QT_PA_008.

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV






4XHU\3$B&B4(QWU\5DWH

3XUSRVH

This query shows the number of entries in relation to the average headcount for the previous year (i.e. last com-plete year). Personal as well as organizational data is used for the evaluation.

7HPSODWHV6WUXFWXUHV









quarter,previous year


Number of employees 4

th



Average Headcount(previous year)


0QT_PA_017 Entry Rate

Number of Entries(previous year)

Number of entries (previous year)

(&0CYEAR&-1)




Entry Rate Entry rate = number of entries(previous year) / averageheadcount (previous year) * 100

)UHH&KDUDFWHULVWLFV

,QIR2EMHFW 'HVFULSWLRQ0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years






/LQH&KDUDFWHULVWLFV



4XHU\3$B&B41HW(QWU\5DWH

3XUSRVH

This query displays the number of people who have entered the enterprise in relation to the number people whohave left the enterprise for the current calendar year. Personal as well as organizational data is used for theevaluation.

7HPSODWHV6WUXFWXUHV


Number of Entries

Number of Leavers

0QT_PA_003 Net Entry Rate

Net Entry Rate Net entry rate = number of entries / number of leavers

.H\)LJXUHV



0R_PA_002 Number of leavers

Net entry rate Key figure is calculated instructure 0QT_PA_003.




)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years






/LQH&KDUDFWHULVWLFV






4XHU\3$B&B41XPEHURI(QWULHV)7(

3XUSRVH

This query shows the number of people who have entered the enterprise as a full-time equivalent for the currentcalendar year. Personal as well as organizational data is used for the evaluation.

.H\)LJXUHV


0R_PA_001 Number of Entries

0R_PA_003 Entries FTE

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV






/HDYHUV

4XHU\3$B&B41XPEHURI/HDYHUV

3XUSRVH

This query displays the Number of people who have left enterprise as an annual comparison (compare currentyear/previous year; with absolute and percentage differences). Personal as well as organizational data is used forthe evaluation.

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)


(&0T_CYEAR&)


(&0CYEAR&)




.H\)LJXUHV



)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee





0GENDER Gender

0NATION Nationality

0AGE Age in years






/LQH&KDUDFWHULVWLFV



4XHU\3$B&B43HUFHQWDJH%UHDNGRZQRI/HDYHUV

3XUSRVH

This query displays the number of people who have left enterprise according to a chosen evaluation characteristicas a percentage of the total number of people who have left enterprise for the current calendar year. Personal aswell as organizational data is used for the evaluation.

7HPSODWHV6WUXFWXUHV

7HFKQLFDOQDPH 'HVFULSWLRQ (OHPHQW )RUPXODNumber of Leavers0QT_PA_007 Percentage

Breakdown ofLeavers Percentage Breakdown

of LeaversPercentage breakdown of leavers= number of leavers per charac-teristic value / total number ofleavers * 100

.H\)LJXUHV



Percentage breakdown of leavers Key figure is calculated instructure 0QT_PA_007.

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV






4XHU\3$B&B4/HDYLQJ5DWH

3XUSRVH

This query shows the number of people who have left the enterprise in relation to the average headcount for theprevious year (the last complete year). Personal as well as organizational data is used for the evaluation.

7HPSODWHV6WUXFWXUHV







Number of employees, quarter(0CALQUART1) restricted to2and &0CYEAR&-1


quarter

previous year


Number of employees 4th quarterprevious year


0QT_PA_016 Leaving Rate

Average Headcount

(previous year) Σ of the quarterly value (previousyear) / 4




Number of Leavers(previous year)

Number of leavers (previous year)

(&0CYEAR&-1)

Leaving Rate Leaving rate = number of leavers(previous year) / averageheadcount (previous year) * 100

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years






/LQH&KDUDFWHULVWLFV



4XHU\3$B&B41XPEHURI/HDYHUV)7(

3XUSRVH

This query shows the numbers of leavers FTE (full-time equivalent) as an annual comparison for the current year.Personal as well as organizational data is used for the evaluation.

.H\)LJXUHV

7HFKQLFDOQDPH 'HVFULSWLRQ 5HPDUN0R_PA_002 Number of Leavers

0R_PA_004 Leavers FTE

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee


0GENDER Gender

0NATION Nationality

0AGE Age in years









/LQH&KDUDFWHULVWLFV









3$5&5HFUXLWPHQW

,QIR&XEH3$5&B&$SSOLFDWLRQVDQG$SSOLFDQW$FWLRQV

&RQWHQW

The $SSOLFDWLRQVDQG $SSOLFDQW$FWLRQV InfoCube (0PARC_C01) contains all transaction data on job applicationsand applicant actions, uploaded from one or more source systems. The data in this InfoCube is extracted from theInfoSources $SSOLFDQWV (0HR_PA_RC_0), $SSOLFDWLRQV (0HR_PA_RC_1) and $SSOLFDQW $FWLRQV (0HR_PA_RC_2).

This InfoCube contains the general key figures 1XPEHU RI DSSOLFDQWV (0APPL_CNT , 1XPEHU RI DSSOLFDWLRQV(0APPLC_NUM), 1XPEHU RI DSSOLFDQW DFWLRQV (0ACTION_CNT and $JH LQ \HDUV (0AGE_KYF). Restricted keyfigures are also contained in the standard R/3 System. This InfoCube also includes numerous characteristics thatcan be used for recruitment evaluation purposes (e.g. applicant groups, applicant ranges, advertisements, recruit-ment instruments).

The following time dimensions are included in the InfoCube to help you in your evaluations: FDOHQGDUGD\ , FDOHQGDU

\HDUPRQWK, FDOHQGDU\HDUTXDUWHU , and FDOHQGDU\HDU .

Several templates/structures containing key figures or calculation rules for the InfoCube are provided in the stan-dard R/3 System. These templates enable you to quickly and easily carry out frequently-required evaluations (suchas comparing the number of applications in the current and previous years, with absolute as well as percentagedifferences).

For more information on the technical elements (characteristics, time characteristics, etc.), see 5HPDUNVRQWKH,QIR&XEH.

,QIR6RXUFH

0HR_PA_RC_0: Applicants

0HR_PA_RC_1: Applications

0HR_PA_RC_2: Applicant Actions

&KDUDFWHULVWLFV

,QIR2EMHFW 'HVFULSWLRQ 1DYLJDWLRQ FKDUDFWHULVWLFVDYDLODEOH"


0AGE_RANGE Age range No No

0ADVERT Advertisement Yes No

0APPLICANT Applicant Yes No

0APPLICATION Applicant action types No No

0APPLSTREA Applicant status reason No No

0APPLSTATUS Applicant status (overall) No No

0CNTCTEMPL Contact employee No No

0AGE Age in years No Yes

0MEDIUM Medium No No


0APPLREFID Applicant reference indicator No No

0REFEMPL Reference employee No No




0UNSAPPGRP Unsolicited application group No No

7LPH&KDUDFWHULVWLFV



0CALMONTH Calendar year /month

0CALQUARTER Calendar year /quarter


.H\)LJXUHV

,QIR2EMHFW 'HVFULSWLRQ ,QIR2EMHFWXQLWV $JJUHJDWLRQ EHKDYLRU

0APPL_CNT Number of applicants Last

0APPLC_NUM Number of applications Additive

0ACTION_CNT Number of applicant actions Additive

0AGE_KYF Age in years Last


,QIR2EMHFW 'HVFULSWLRQ &RQGLWLRQ

0R_PARC_001 Number of applicants with status’To be hired’

Key figure ’Number of applicants’ restrictedto applicants with overall status ’To behired’

0R_PARC_002 Number of applicants with status

’Contract offered’

Key figure ’Number of applicants’ restricted

to applicants with overall status ’Contractoffered’

0R_PARC_003 Number of applicants with status’Offer rejected’

Key figure ’Number of applicants’ restrictedto applicants with overall status ’Offer rejected’

0R_PARC_004 Number of unsolicited applications Key f igure ’Number of applications’ re-stricted to unsolicited applications (unsolic-ited application groups 1-999)

0R_PARC_005 Number of applications in re-sponse to advertisements

Key figure ’Number of applications’ re-stricted to applications in response to ad-vertisements (advertisement numbers 1-999)

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)

Previous year =current calendaryear – 1

(&0CYEAR&-1)

0QT_PARC_001 Compare previous year/currentyear

Current calendaryear

(&0T_CYEAR&)

Current calendaryear = variablecalendar year

(&0CYEAR&)




Difference Difference = Currentcalendar year – Previous year

Difference in % Difference in % =[Current calendaryear - previous year

/ previous year] *100Number of appli-cants

Number of applica-tions

0C_PARC_001 Ratio of applications to applicants

Ratio of applicationsto applicants

Ratio of applicationsto applicants =Number of appli-cants / Number ofapplications

Number of applica-

tions

0QT_PARC_002 Percentage breakdown of appli-

cations

Percentage break-down of applications

Percentage break-down of applications= [Number of appli-cations per charac-teristic value / Totalnumber of applica-tions] *100

Number of appli-cants

0QT_PARC_003 Percentage breakdown of appli-cants

Percentage break-

down of applicants

Number of appli-

cants = [Number ofapplicants per char-acteristic value / Total number ofapplicants] *100


Number of appli-cants with status 'Tobe hired'

0QT_PARC_004 Applicant hiring rate

Applicant HiringRate

Applicant HiringRate = [Number ofapplicants withstatus 'To be hired' / Number of appli-cants] *100

Number of appli-cants with status'Offer rejected'

0QT_PARC_005 Take Up Rate for Job Offers

Number of appli-cants with status'Contract offered'




Ratio of offeredcontracts to rejectedcontracts

Ratio of offeredcontracts to rejectedcontracts = [Numberof applicants withstatus ’Offer rejected’ / Number ofapplicants with

status ’Contractoffered’] *100


Age in years

0QT_PARC_006 Applicants’ average age

Applicants’ averageage

Applicants’ averageage = Age in years / Number of appli-cants


Number of applica-tions

0QT_PARC_007 Ratio of applications to applicants

Ratio of applicationsto applicants

Ratio of applicationsto applicants =Number of applica-tions / Number ofapplicants

Current quarter-4

(&0T_CQUAT&-4)

Current quarter-4

(&0CQUART&-4)

Current quarter-3

(&0T_CQUAT&-3)

Current quarter-3

(&0CQUART&-3)

Current quarter-2

(&0T_CQUAT&-2)

Current quarter-2

(&0CQUART&-2)

0QT_PARC_008 4 quarter comparison

Current quarter-1

(&0T_CQUAT&-1)

Current quarter-1

(&0CQUART&-1)

Current quarter-4

(&0T_CQUAT&-4)

Current quarter-4

(&0CQUART&-4)

Current quarter-3

(&0T_CQUAT&-3)

Current quarter-3

(&0CQUART&-3)

Current quarter-2

(&0T_CQUAT&-2)

Current quarter-2

(&0CQUART&-2)

Current quarter-1

(&0T_CQUAT&-1)

Current quarter-1

(&0CQUART&-1)

0QT_PARC_009 Average 4 quarters

Average 4 quarters Σ quarterly value/ 4


0QT_PARC_010 Unsolicited application rate

Number of appli-

cants in response toadvertisement




Number of unsolic-ited applications

Unsolicited applica-tion rate

Unsolicited applica-tion rate = [Numberof unsolicited appli-cations / Number of

applications] *100


*HQHUDO5HPDUNV

Because of the way in which the InfoSources are structured in the standard R/3 System, it is only useful to carryout some evaluations for certain InfoSources e.g. it makes sense to carry out application-related rather than appli-cant-action-related evaluations in the InfoSource $SSOLFDWLRQV (0HR_PA_RC_1).

&KDUDFWHULVWLFV

$JH5DQJH (0AGE_RANGE) and $JHLQ<HDUV (0AGE) are calculated characteristics.

• The $JH5DQJH characteristic contains an employee’s age, which is calculated from the date of birth and theperiod in the relevant InfoSource. The ranges are specified by the update rules.

Note that you must manually maintain the master data for this characteristic as follows:

0 not available

1 < 20

2 20 - 29

3 30 - 39

4 40 - 49

5 50 - 59

6 60 - 69

7 ≥ 70

• The $JHLQ<HDUV characteristic contains an employee’s age at the end of the period. You can (depending onyour individual enterprise requirements) define a hierarchy for age and thereby depict the age profile in your

enterprise. You can also use the key figure $JHLQ\HDUV (0AGE_KYF) to make calculations based on employ-ees’ age in years.

The age characteristics are calculated at the end of the period using the update rules. The period is dependent onthe InfoSource from which it is transported. For example, the period end can fall either at the end of a calendar dayor a calendar month.

In the $SSOLFDWLRQV DQG $SSOLFDQW$FWLRQV (0PARC_C01) InfoCube, the characteristic (PSOR\HH (0EMPLOYEE)refers to internal applicants.

The characteristic &RQWDFWHPSOR\HH (0CNTCTEMPL) refers to the employee that accepts or passes on a job ap-plication to the company or to an employee who is referred to in an application.

The characteristic5HIHUHQFHHPSOR\HH (0REFEMPL) refers to the employee in the enterprise who evaluates anapplicant’s suitability and subsequently recommends accepting or rejecting the applicant.




.H\)LJXUHV

Both the key figures 1XPEHURIDSSOLFDQWV (0APPL_CNT) and 1XPEHURIDSSOLFDWLRQV (0APPLC_NUM) are avail-able because an applicant can have made several applications.

+LHUDUFKLHV

No hierarchies exist for age in the standard R/3 System, but you can define them yourself for the characteristic $JHLQ\HDUV(0AGE). This gives you flexibility in defining the ranges within the structure e.g. in five-year-intervals (25-29 years, 30-34 years). Defining the age structure yourself has several advantages over using the pre-defined agestructure in the $JHUDQJH characteristic (0AGE_RANGE).

For example, you can define the age structure of your enterprise as follows:

< 20 [ ] x < 20

20 - 24 [ ] 20 ≤ x ≤ 24

25 - 29 [ ] 25 ≤ x ≤ 29

30 - 34 [ ] 30 ≤ x ≤ 34

35 - 39 [ ] 35 ≤ x ≤ 39

…


The restricted key figures are derived from the InfoCubes key figures by means of a filter. The following restrictedkey figures are determined in this way:

• 1XPEHURIDSSOLFDQWVZLWKVWDWXV7REHKLUHG(0R_PARC_001)

• 1XPEHURIDSSOLFDQWVZLWKVWDWXV&RQWUDFWRIIHUHG(0R_PARC_002)

• 1XPEHURIDSSOLFDQWVZLWKVWDWXV2IIHUHGUHMHFWHG (0R_PARC_003)

• 1XPEHURIXQVROLFLWHGDSSOLFDWLRQV (0R_PARC_004)

• 1XPEHURIDSSOLFDWLRQVLQUHVSRQVHWRDQDGYHUWLVHPHQW(0R_PARC_005)

8SGDWH5XOHV

In the update rules, numerous fields are read from the master data tables to the period end (usually the last day ofthe month) and are written to the InfoCube as characteristics. For this reason, it is necessary that the master datais loaded and activated before the InfoSources.

6WUXFWXUHV

In templates/structures in which time periods are taken into account, the periods are represented by text variables(&0T_CYEAR&, &0T_CQUAT&), and the relevant values (calendar years, calendar quarters) are automaticallygenerated when the queries are executed.

Example:

In the "Compare previous year with current year" structure (0QT_PARC_001), the text variable &0T_CYEAR& isused for "previous year" and "current year". When the query is executed, the text variable is replaced by the rele-

vant calendar year i.e. "previous year" is replaced by "1998" and "current year" by "1999".




In the 4XDUWHU&RPSDULVRQ (0QT_PARC_008) and $YHUDJH4XDUWHUV(0QT_PARC_009) structures, calculationsbegin with the last quarter for which you have complete figures. For example, if a query compares 4 quarters andbegins in the second quarter of 1999, the following 4 quarters are compared: 1/99, 4/98, 3/98 and 2/98.

$SSOLFDWLRQV

4XHU\3$5&B&B41XPEHURI$SSOLFDWLRQVZLWK0DVWHU'DWD

3XUSRVH

This query displays the number of job applications as an annual comparison (current year/previous year; with ab-solute and percentage differences). In addition, you can display different data about applications (e.g. applicant,applicants‘ overall status, applicant group).

6WUXFWXUH

6WUXFWXUH 'HVFULSWLRQ (OHPHQW )RUPXOD

Previous year

(&0T_CYEAR&)

Previous year =current calendaryear –1

(&0CYEAR&-1)


(&0T_CYEAR&)

Current calendaryear = variablecurrent calendaryear

(&0CYEAR&)

Difference Difference =Current calendar – Previous year

0QT_PARC_001 Compare previous year/current year

Difference in % Difference in % =[Current year – previous year / previous year] *100

.H\)LJXUHV

7HFKQLFDOQDPH .H\ILJXUH 5HPDUN

0APPLC_NUM Number of applications

)UHH&KDUDFWHULVWLFV


0APPLGROUP Applicant group

0APPLICANT Applicant

0APPLSTATUS Applicant status (overall)

0APPLSGROUP Applicant range






0AGE_RANGE Age range

0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF



4XHU\3$5&B&B43HUFHQWDJH%UHDNGRZQRI$SSOLFDWLRQVZLWK0DVWHU'DWD

3XUSRVH

The query displays job applications as a percentage of the total number of applications according to the selectedevaluation characteristics; it evaluates data for the current calendar year.

6WUXFWXUH


Number of ap-plications

0QT_PARC_002 Percentage breakdown of applica-tions

Percentagebreakdown of

applications

Percentagebreakdown of

applications =Number of ap-plications percharacteristicvalue / Totalnumber of appli-cations * 100

.H\)LJXUHV

7HFKQLFDOQDPH .H\)LJXUH 5HPDUN

Percentage breakdown of applica-

tions

Key figure is calculated in structure

0QT_PARC_002

0APPLC_NUM Number of applications Key figure is calculated in structure0QT_PARC_002

)UHH&KDUDFWHULVWLFV












0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF



&ROXPQ&KDUDFWHULVWLF


0CYEAR Current calendar year

4XHU\3$5&B&B4$YHUDJH1XPEHURI$SSOLFDWLRQV

3XUSRVH

The query displays the average number of applications in relation to the last four quarters.

6WUXFWXUH


Current quarter – 4

(&0T_CQUAT&-4)


(&0CQUART&-4)


(&0T_CQUAT&-3)


(&0CQUART&-3)


(&0T_CQUAT&-2)


(&0CQUART&-2)

Current quarter –1

(&0T_CQUAT&-1)


(&0CQUART&-1)


Average 4 quarters Σ of the quarterlyvalue / 4

.H\)LJXUHV



)UHH&KDUDFWHULVWLFV



0APPLICANT Applicant0APPLSTATUS Applicant status (overall)








0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF



4XHU\3$5&B&B45DWLR$SSOLFDWLRQVWR$SSOLFDQWV

3XUSRVH

The query displays the number of applicants, applications and the ratio of job applications to applicants for the cur-rent calendar year.

6WUXFWXUH



Number of appli-cations

0C_PARC_001 Ratio of applications to applicants

Ratio of applica-tions to appli-cants

Ratio of applica-tions to appli-cants = Numberof applications / Number of appli-cants

.H\)LJXUHV

7HFKQLFDOQDPH .H\ILJXUHV 5HPDUN

0APPL_CNT Number of applicants Key figure is calculated in structure0C_PARC_001

0APPLC_NUM Number of applications Key figure is calculated in structure0C_PARC_001

Ratio of applications to applicants Key figure is calculated in structure0C_PARC_001

)UHH&KDUDFWHULVWLFV












0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF






$SSOLFDQWV

4XHU\3$5&B&B41XPEHURI$SSOLFDQWVZLWK0DVWHU'DWD

3XUSRVH

The query displays the number of applicants with master data as an annual comparison (current year/previousyear; with absolute and percentage differences).

6WUXFWXUH


Previous year

(&0T_CYEAR&)

Previous year =Current calendaryear - 1

(&0CYEAR&-1)

Current calendar

year(&0T_CYEAR&)

Current calendar

year = variablecurrent calendaryear

(&0CYEAR&)

Difference Difference =Current calendaryear – previousyear

0QT_PARC_001 Compare previous year/current year

Difference in % Difference in % =[(Current year – previous year) / previous year] *100




.H\)LJXUHV


0APPL_CNT Number of applicants

)UHH&KDUDFWHULVWLFV









0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF



4XHU\3$5&B&B4$SSOLFDQWVµ$YHUDJH$JH

3XUSRVH

The query displays the applicants‘ average age. In addition you can display other data about the applicant (e.g.applicant’s overall status, gender, nationality).

6WUXFWXUH



Age in years

0QT_PARC_006 Applicants‘ average age

Applicants‘ aver-age age

Applicants‘ aver-age age = Age inyears/Number ofapplicants

.H\)LJXUHV


0APPL_CNT Number of applicants Key figure is calculated in structure0QT_PARC_006

0AGE_KYF Age in years Key figure is calculated in structure0QT_PARC_006




Applicants‘ average age Key figure is calculated in structure0QT_PARC_006

)UHH&KDUDFWHULVWLFV


0APPLGROUP Applicant group0APPLICANT Applicant






0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF






4XHU\3$5&B&B43HUFHQWDJH%UHDNGRZQRI$SSOLFDQWVZLWK0DVWHU 'DWD

3XUSRVH

The query displays the percentage breakdown of applicants with master data according to the selected evaluationcharacteristics for the current calendar year.

6WUXFWXUH



0QT_PARC_003 Percentage breakdown of applicants

Percentagebreakdown ofapplicants

Percentagebreakdown ofapplicants =Number of appli-cants per char-acteristicvalue/total num-ber of applicants* 100




.H\)LJXUHV


Percentage breakdown of applicants Key figure is calculated in structure0QT_PARC_003

0APPL_CNT Number of applicants Key figure is calculated in structure

0QT_PARC_003

)UHH&KDUDFWHULVWLFV









0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF






4XHU\3$5&B&B4$YHUDJH1XPEHURI$SSOLFDQWV

3XUSRVH

The query displays the average number of applicants in relation to the last four quarters.

6WUXFWXUH


Current quarter-4

(&0T_CQUAT&-4)

Current quarter-4

(&0CQUART&-4)

Current quarter-3

(&0T_CQUAT&-3)

Current quarter -3

(&0CQUART&-3)


Current quarter -2

(&0T_CQUAT&-2)

Current quarter -2

(&0CQUART&-2)




Current quarter -1

(&0T_CQUAT&-1)

Current quarter -1

(&0CQUART&-1)

Average 4 quarters Σ of quarterly value / 4

.H\)LJXUH7HFKQLFDOQDPH .H\ILJXUH 5HPDUN


)UHH&KDUDFWHULVWLFV









0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF



$GYHUWLVLQJ

4XHU\ 3$5&B&B4 1XPEHU RI $SSOLFDWLRQV LQ 5HVSRQVH WR $GYHU

WLVLQJ

3XUSRVH

The query displays the number of applications in response to advertising as an annual comparison (currentyear/previous year; with absolute and percentage differences). The InfoObjects $GYHUWLVLQJ (0ADVERT), 0HGLXP(0MEDIUM), and 5HFUXLWPHQW,QVWUXPHQW (0RC_INSTR) are available for your evaluation.

6WUXFWXUH


0QT_PARC_001 Compare previous year/current

year

Previous year

(&0T_CYEAR&)

Previous year =

Current calendaryear – 1

(&0CYEAR&-1)





(&0T_CYEAR&)


(&0CYEAR&)

Difference Difference = Cur-

rent calendar year – Previous year

Difference in % Difference in % =[(Current year – Previous year) / Previous year] *100

.H\)LJXUH



)UHH&KDUDFWHULVWLF


0ADVERT Advertisement

0MEDIUM Medium

0RC_INSTR Recruitment instrument

0UNSAPPGRP Unsolicited application group

/LQH&KDUDFWHULVWLF,QIR2EMHFW 'HVFULSWLRQ


4XHU\3$5&B&B4$SSOLFDWLRQVSHU$GYHUWLVHPHQW6KRZLQJ&RVWV

3XUSRVH

The query displays the number of applications per advertisement along with the costs per advertisement.

.H\)LJXUH



)UHH&KDUDFWHULVWLFV



/LQH&KDUDFWHULVWLF









4XHU\3$5&B&B43HUFHQWDJH%UHDNGRZQRI$SSOLFDWLRQV

3XUSRVH

The query displays the percentage breakdown of applications in relation to the type of advertisement; in additionthis query includes the option of an evaluation by selecting unsolicited applications. There are additional evaluationcharacteristics available for this query too (e.g. recruitment instrument, medium, unsolicited applications).

6WUXFWXUH


Number of appli-

cations

0QT_PARC_002 Percentage breakdown of applica-

tionsPercentagebreakdown ofapplications

Percentagebreakdown ofapplications =[Number of ap-plications percharacteristicvalue / Totalnumber of appli-cations] * 100

.H\)LJXUHV


Percentage breakdown of applica-tions

Key figure is calculated in structure0QT_PARC_002


)UHH&KDUDFWHULVWLFV



0MEDIUM Medium

0UNSAPPGRP Unsolicited applications group


/LQH&KDUDFWHULVWLF









4XHU\3$5&B&B48QVROLFLWHG $SSOLFDWLRQVDQG$SSOLFDWLRQV LQ5HVSRQVHWR$GYHUWLVHPHQWV

3XUSRVH

The query displays the number of unsolicited applications and the number of applications in response to adver-

tisements for the current calendar year.

.H\)LJXUHV




7HFKQLFDOQDPH .H\ILJXUHV &RQGLWLRQ

0R_PARC_004 Number of unsolicited applications Key figure ’Number of applications,limited to unsolicited applications(unsolicited application group 1 -999)

0R_PARC_005 Number of applications in responseto advertisement

Key figure ’Number of applications’,limited to applications in response toadvertisement (advertisement num-ber 1-99 999 999)

)UHH&KDUDFWHULVWLFV









0GENDER Gender

0NATION Nationality0COUNTRY Country

/LQH&KDUDFWHULVWLF


0RC_APPLGROUP Applicant group

&ROXPQFKDUDFWHULVWLF






4XHU\3$5&B&B48QVROLFLWHG$SSOLFDWLRQV5DWH

3XUSRVH

The query displays the number of applicants, the number of unsolicited applications, the number of applications inresponse to an advertisement, and the unsolicited applications rate.

6WUXFWXUH


Number of applicants

Number of applicantsresponding to an ad-vertisement

Number of unsolicitedapplications

0QT_PARC_010 Unsolicited application rate

Unsolicited application

rate

Unsolicited applica-

tion rate = [Numberof unsolicited appli-cations / Number ofapplications] * 100

.H\)LJXUHV


Unsolicited applications rate Key figure is calculated in structure0QT_PARC_010

0APPLC_NUM Number of applications Key figure is calculated in structure

0QT_PARC_002



0R_PARC_004 Number of unsolicited applications Key figure is calculated in structure0QT_PARC_010

0R_PARC_005 Number of applications in responseto advertisement


)UHH&KDUDFWHULVWLF









0GENDER Gender

0NATION Nationality




0COUNTRY Country

/LQH&KDUDFWHULVWLFV


0RC_APPLGROUP Applicant group




+LUHV&RQWUDFWV2IIHUHG

4XHU\3$5&B&B4+LUHV2IIHUV5HMHFWHG&RQWUDFWV

3XUSRVH

The query displays the total number of all applicants, the number of applicants with the status 7RKLUH, the numberof applicants with the status &RQWUDFWRIIHUHG and the number of applicants with the status 2IIHUUHMHFWHG .

.H\)LJXUH




7HFKQLFDOQDPH .H\ILJXUHV &RQGLWLRQ

0R_PARC_001 Number of applicants with the status’To hire’

Key figure ’Number of applicants’,limited by overall applicant status ’Tohire’

0R_PARC_002 Number applicants with the status’Contract offered’

Key figure ’Number of applicants’,limited by overall applicant status’Contract offered’

0R_PARC_003 Number of applicants with the status

’Offer rejected’

Key figure ’Number of applicants’,

limited by applicants‘ overall status'Offered Rejected'

)UHH&KDUDFWHULVWLFV












0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF






4XHU\ 3$5&B&B4 $QQXDO &RPSDULVRQ RI +LUHV2IIHUV5HMHFWHG&RQWUDFWV

3XUSRVH

The query displays the total number of applicants, the number of applicants with the status 7RKLUH, the number ofapplicants with the status &RQWUDFWRIIHUHG and the number of applicants with the status 2IIHUUHMHFWHG as an annualcomparison (current year/previous year; with absolute and percentage deviation).

6WUXFWXUH


Previous year

(&T_CALYEA&)

Previous year = Cur-rent calendar year – 1

(&0CYEAR&-1)


(&T_CALYEA&)

Current calendaryear = variable cur-rent calendar year

(&0CYEAR&)

Difference Difference = Currentcalendar year – Pre-

vious year

0QT_PARC_001 Compare previous/current year

Difference in % Difference in % =[(Current year – Pre-vious year) / Previ-ous year] * 100

.H\)LJXUH








0R_PARC_001 Number of applicants with the status’To hire’

Key figure ’Number of applicants’,limited by applicants‘ overall status'To hire'

0R_PARC_002 Number of applicants with status'Contract offered' Key figure 'Number of applicants',limited by applicants‘ overall status'Contract offered'

0R_PARC_003 Number of applicants with the status'Offer rejected'

Key figure 'Number of applicants',limited by applicants‘ overall status'Offer rejected'

)UHH&KDUDFWHULVWLFV



0APPLICANT Applicant0APPLSTATUS Applicant status (overall)





0GENDER Gender

0NATION Nationality

0COUNTRY Country

4XHU\3$5&B&B4$SSOLFDQW+LULQJ5DWH

3XUSRVH

The query displays the number of applicants, the number of applicants with the status 7RKLUH as well as the appli-cant hiring rate.

6WUXFWXUH

7HFKQLFDOQDPH 'HVFULSWLRQ (OHPHQW )RUPXODNumber of appli-cants

Number of appli-cants with thestatus 'To hire'

0QT_PARC_004 Applicant hiring rate

Applicant hiringrate

Applicant hiringrate = [Numberof applicants withthe status 'Tohire' / Number ofapplicants] * 100




.H\)LJXUHV

7HFKQLFDOQDPH .H\)LJXUHV 5HPDUN

Applicant hiring rate Key figure is calculated in structure0QT_PARC_004

0APPL_CNT Number of applicants Key figure is calculated in structure

0QT_PARC_004



0R_PARC_001 Number of applicants with the status‘To hire’


)UHH&KDUDFWHULVWLFV


0APPLGROUP Applicant group0APPLICANT Applicant






0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF






4XHU\3$5&B&B47DNH8S5DWHIRU-RE2IIHUV

3XUSRVH

The query displays the number of applicants with the status 2IIHUUHMHFWHG , the number of applicants with the status&RQWUDFWRIIHUHG and the take up rate for job offers.




6WUXFWXUH


Number of appli-cants with the status‘Offer rejected’

Number of appli-cants with the status‘Contract offered’

0QT_PARC_005 Take up rate for joboffers

Take up rate for joboffers

Take up rate for job offers =[Number of applicants withthe status ‘Offer rejected’ / Number of applicants withthe status ‘Contract offered’]* 100

.H\)LJXUH

7HFKQLFDOQDPH .H\ILJXUH 5HPDUNTake up rate for job offers Key figure is calculated in structure

0QT_PARC_005



0R_PARC_002 Number of applicants with the status‘Contract offered’


0R_PARC_003 Number of applicants with the status‘Offer rejected’


)UHH&KDUDFWHULVWLFV









0GENDER Gender

0NATION Nationality

0COUNTRY Country

/LQH&KDUDFWHULVWLF






377LPH0DQDJHPHQW

,QIR&XEH37B&(PSOR\HH7LPHV

&RQWHQW

This InfoCube represents the consolidated data basis used for reporting time data in the BUSINESSINFORMATION WAREHOUSE that reflects non-cumulative values and not cumulative values such as time bal-ances. In this way, a distinction is made in the time data of the OLTP according to the time types for reporting, re-gardless of the source (database table, function module) from which the data is derived. Definitions for these timetypes must be stored in OLTP &XVWRPL]LQJ . To provide queries and key figures in a business-related context, thefollowing time types have been predefined as follows in the standard SAP R/3 System:

7LPH7\SH 'HVFULSWLRQ

/HDYH

,OOQHVV

3ODQQHG WLPH ZRUN VFKHGXOH XVHG IRU WLPHHYDOXDWLRQ

2YHUWLPH

3URGXFWLYHWLPH

3ODQQHG WLPH DFFRUGLQJ WR SHUVRQDO ZRUN VFKHGXOH

1RWH

For more information on the technical elements (characteristics, time characteristics, and so on) of the InfoCube,see 5HPDUNVRQWKH,QIR&XEH.

,QIR6RXUFHV

0HR_PT_1 Employee Planned Times

0HR_PT_2 Employee Actual Times

&KDUDFWHULVWLFV





0CO_MST_AR Master controlling area No No




0HRPOSITION Position No No

0JOB Job No No








0REPTT Time type for reporting No No

0TIME_STAT Time Management status No No

0ALP_POSTN Different position No No


0DEBT_ACTT Debited activity type No No

0DEBT_ACTVY Debited activity No No

0DEBT_BUSA Debited business area No No

0DEBT_CCTR Debited cost center No Yes

0DEBT_CMPC Debited company code No No

0DEBT_NETW Debited network No No

0DEBT_ORDER Debited order No No

0DEBT_WBS_E Debited work breakdown sched-ule (WBS) element

No No

0RECV_ACTVY Receiver activity No No

0RECV_BUSA Receiver business area No No

0RECV_CCTR Receiver cost center No Yes

0RECV_CMPC Receiver company code No No

0RECV_NETW Receiver network No No

0RECV_ORDER Receiver order No No

0RECV_PROCS Receiver process No No

0RECV_WBS_E Receiver work breakdown sched-ule (WBS) element

No No

0SEND_ACTT Sender activity type No No

0SEND_BUSA Sender business area No No

0SEND_CCTR Sender cost center No Yes

0SEND_CMPC Sender company code No No

0PERSON Person Yes No

7LPH&KDUDFWHULVWLFV




0CALQUARTER Calendar year/quarter


.H\)LJXUHV


0ALP_AMOUNT Amount 0CURRENCY Additive

0DUR_ACTUAL Actual time 0UNIT Additive




0DUR_VALUE Account-relevant time 0UNIT Additive

0PLHRS Planned time according to personalwork schedule

0UNIT Additive

0WRHRS Planned time excluding public holi-days

0UNIT Additive


.H\)LJXUH 'HVFULSWLRQ &RQGLWLRQ

0R_PLAN_HRS Planned hours 0PLHRS

0UNIT = STD

0R_PLAN_DAY Planned days 0PLHRS

0INIT = T

0R_PROD_HRS Productive hours 0DUR_ACTUAL

0UNIT = STD

0REPTT = 00000005

0R_OVER_HRS Overtime hours 0DUR_ACTUAL

0UNIT = STD

0REPTT = 00000005

0R_SICK_HRS Illness hours 0DUR_ACTUAL

0UNIT = STD

0REPTT = 00000005

0R_LEAV_HRS Leave hours 0DUR_ACTUAL

0UNIT = STD0REPTT = 00000005

0R_LEAVE_DAY Leave days 0DUR_ACTUAL

0UNIT = STD

0REPTT = 00000005

0R_ACT_HRS Actual hours 0DUR_ACTUAL

0UNIT = STD

8QLWV


0CURRENCY Currency key

0UNIT Unit of measurement

7HPSODWHV6WUXFWXUHV


0QT_PROD Productivity rate Productivity rate

Productive hours

Planned hours

Productivity rate =Productive hours/ planned hours in %




0QT_OVER Overtime rate Overtime rate

Overtime hours

Planned hours

Overtime rate =Overtime hours/ planned hours in %

0QT_SICK Illness rate Illness rates

Illness hours

Planned hours

Illness rate =Illness hours/

planned hours in %

0QT_LEAV Leave days per planneddays

Leave days perplanned days

Leave days

Planned days

Leave days perplanned days =

Leave days/ planned hours in %

0QT_ACTPL Compare actual withplanned

Actual/planned

Actual hours

Planned hours

Planned hours (dis-play hidden)

Actual hours/ planned hours in %

0QT_TIMES Employee times Illness hours

Productive hours

Overtime hours

Planned hours

0QT_FTE Employee times in units foreffective full-time employee(FTE)

Planned working timefor full-time worker(FTE)

Productive time forFTE

Overtime for FTE

Planned hours

Productive hours

Overtime hours

Plannedhours/Annual hoursfor FTE

Productivehours/Annual hoursfor FTE

Overtimehours/Annual hoursfor FTE

0QT_LEAVE_DAYS Leave days per FTE Leave per effectiveFTE

Leave hours

Planned hours

Effective FTE =Leave days/Planned

days x ¼ Annualworking hours forFTE

0QT_YEAR A_F Compare year with previ-ous year

Current year

Previous year

Difference in %

(Current year - previ-ous year)/previousyear in %

0QT_QUARTERLY Quarterly view Current, quarterly,and 4 precedingquarters


7LPH7\SHVIRU5HSRUWLQJ




Time type assignments for 6$3+XPDQ5HVRXUFHV and 6$37LPH0DQDJHPHQW data, as well as additional cus-tomer-specific time data, can be defined without restriction in the SAP HR System. Possible sources include timemanagement infotypes $EVHQFHV (2001), $WWHQGDQFHV (2002), and (PSOR\HH5HPXQHUDWLRQ,QIR (2010), as well astime evaluation results (DB PCL2 Cluster B2). These times are transferred to the BUSINESS INFORMATIONWAREHOUSE using the InfoSource 0HR_PT_2 (PSOR\HH$FWXDO7LPHV.

On the one hand, assigning the OLTP subtypes to fewer time types in the BUSINESS INFORMATION

WAREHOUSE achieves a summarization of the OLTP, and thus, a reduction in the amount of data to be trans-ferred. However, if the transferred time data is broken down into its most detailed level (subtype level), then multi-level summarization rules with corresponding drilldown results appear in hierarchies reports in the BUSINESSINFORMATION WAREHOUSE. These hierarchies must be created for time types in the BUSINESSINFORMATION WAREHOUSE.

One exception is the time type 3ODQQHGWLPHDFFRUGLQJWRSHUVRQDOZRUNVFKHGXOHThe origin of the datarecords with the time type value 3ODQQHGWLPHDFFRUGLQJWRSHUVRQDOZRUNVFKHGXOH is always the per-sonal work schedule. This time type value does not have a corresponding database object in the SAP R/3 System,however, the personal work schedule is always created dynamically at runtime. This also occurs during the extrac-tion process during which the InfoSource 0HR_PT_1 (PSOR\HH 3ODQQHG 7LPHV is supplied with data. Thus, thetimes in the personal work schedule are usually transferred to the InfoCube 37B& by the InfoSource0HR_PT_1 under the time type 3ODQQHG WLPH DFFRUGLQJ WR SHUVRQDO ZRUN VFKHGXOH. The (PSOR\HH

3ODQQHG7LPHV and those (PSOR\HH$FWXDO7LPHV listed above are represented separately by the various key fig-ures in the InfoCube (see 0PLHRS, 0WRHRS, 0DUR_VALUE and 0DUR_ACTUAL above).

7LPHDQG8QLW%UHDNGRZQ

The InfoCube stores cumulated time data monthly in units of days and hours. Both hourly values (overtime) anddaily values (leave) are required for reporting. Required key figures are derived from the raw data stored in theInfoCube. Standard derivations are available as restricted key figures (for example, 8QLW = +RXU ) and as templatesalong with the InfoCube (see 5HVWULFWHG.H\)LJXUHV).

Essentially, the extractor also permits daily totals to be transferred. This InfoCube is designed for key figure reportswhere monthly totals are sufficient. An additional summarization based on quarterly and annual key figures occursautomatically in the InfoCube.

If, within a particular month, an employee’s assignment changes in the SAP HR System (a change in master costcenter, for example), and the InfoCube contains the corresponding ,QIR2EMHFW as a characteristic, then the timesare distributed to the individual areas as of the key date and then presented separately in the report in the charac-teristics section.

$FFRXQW$VVLJQPHQW2EMHFWV

Based on the time data entered in the SAP HR System, cost assignment of related personnel costs takes place inthe payroll accounting process. If there is no explicit account assignment information accompanying the time data,then the costs are distributed according to the employee’s master data in the 2UJDQL]DWLRQDO $VVLJQPHQW (0001)and&RVW'LVWULEXWLRQ (0027) infotypes. Similarly, the account assignment object 0DEBT_xxxx to be posted is alsoindicated as debited in the InfoCube.

If an activity assignment takes place in the SAP HR System, then the sender 0SEND_xxxx and receiver object0RECV_xxxx are indicated accordingly. If not, then the corresponding fields are left blank.

³(PSOR\HH´YV³3HUVRQ´

In the BUSINESS INFORMATION WAREHOUSE, the ,QIR2EMHFWV (PSOR\HHV 0EMPLOYEE and 3HUVRQV0PERSON differ in their attributes. The personal attributes of *HQGHU0GENDER, 1DWLRQDOLW\0NATION, and /DQJXDJH0PERSLANGU are included in the InfoCube 0PT_C01 as navigation attributes. The most important attrib-utes assigned to the employee as “contract partner” of the employer (these are the first twelve entries in the abovecharacteristics table) must be provided by the InfoSource, so that working times are distributed proportionally (pro-rated) to the corresponding master data if the employee’s master data changes within the same month (a change

in cost center, for example).




.H\)LJXUHV

The amount 0ALP_AMOUNT is calculated from one of the valuation bases entered explicitly in the OLTP duringtime data recording, which is then multiplied by the actual hours (0DUR_ACTUAL with 0UNIT = +RXUV). If an entryin the valuation basis is missing, then this field is usually left blank in the OLTP. In addition, data in this field can beentered or changed in the customer enhancement of the extractor in the InfoSource 0HR_PT_2.

The actual time 0DUR_ACTUAL represents a “container” for the attendance/absence hours or days in the $EVHQFHV (2001) and $WWHQGDQFHV (2002) infotypes. The extent to which hours from time wage types or time accountsare subtotaled is specified in OLTP &XVWRPL]LQJ .

In actuality, an absence of two hours causes a time credit to be debited by a half day. As a result, a working day ofeight planned hours results in an account-relevant time of 4 hours. This derived key figure is available in reportingby the InfoObject $FFRXQWUHOHYDQWWLPH 0DUR_VALUE. The extent to which hours from time wage types or timeaccounts are subtotaled is specified in OLTP &XVWRPL]LQJ .


Restricted key figures are derived from the key figures of the InfoCube using a filter for one or several characteris-tics of the InfoCube. Thus, the illness hours 0R_SICK_HRS result from the value of the key figure 0DUR_ACTUAL

in which the conditions 8QLWRIPHDVXUHPHQW+RXUV and the 7LPHW\SH,OOQHVV are met. Otherwise, the result iszero (0) illness hours. The formulation of the condition must be modified as necessary to match the ,QIR2EMHFW characteristics and their definitions in the customer system. This is especially true if the filter values for the units+RXUVand 'D\Vdeviate from the standard filter values (where STD = +RXUV and T = 'D\V). The queries can onlyprovide correct key figures when consistent conditions are formulated that conform to the InfoCube data provided.

+LHUDUFK\

If hierarchies exist for the 2UJDQL]DWLRQDO XQLW 0ORGUNIT and 0DVWHUFRVWFHQWHU 0MAST_CCTR, then you canactivate one hierarchy for each column of the report by choosing the 3URSHUWLHV option in the menu bar. In this way,multi-level aggregation hierarchies can be represented. A hierarchy can also be activated for the ,QIR2EMHFW 7LPHW\SHIRUUHSRUWLQJ0REPTT. However, the hierarchy cannot be supplied by the OLTP, but must be created manuallyin the BUSINESS INFORMATION WAREHOUSE.

5HPDUNVRQ7HPSODWHV6WUXFWXUHV

8VLQJ7H[W9DULDEOHVLQ6WUXFWXUHV

Time periods in templates/structures that reference specific periods of time are displayed as text variables(&0T_CYEAR& &0T_CQUAT&) in the structure and preview. The applicable values are automatically generatedwhen the queries (calendar year, calendar quarters) are performed.

([DPSOH

In the structure “Compare previous year with actual year,” the text variable &0T_CYEAR& is used for “Previous

year” and “Current year.” When the query is executed, the text variable is replaced by the applicable calendar year,that is “previous year” is replaced with “1998,” for example, and “Current year” with “1999.”

(PSOR\HH7LPHV

4XHU\37B&B43URGXFWLYLW\5DWH

3XUSRVH

This query is used to compare the actual (productive) working times of employees with the planned working times

of a quarter.




7HPSODWHV6WUXFWXUHV


0QT_QUARTERLY Quarterly view Current, last, and 3quarters precedingthe last quarter

0QT_PROD Productivity rate Productivity rateProductive hours

Planned hours

Productivity rate =Productive hours/ planned hours in %

.H\)LJXUHV

7HFKQLFDOQDPH 'HVFULSWLRQ &RPPHQWV

Productivity rate Calculated in structure 0QT_PROD

0R_PROD_HRS Productive hours Display hidden

0R_PLAN_HRS Planned hours Display hidden

)UHH&KDUDFWHULVWLFV

,QIR2EMHFW 'HVFULSWLRQ &RPPHQWV

0EMPLOYEE Employee None

0EMPLGROUP Employee group None

0EMPLSGROUP Employee subgroup None

0PERS_AREA Personnel area None

0PERS_SAREA Personnel subarea None0MAST_CCTR Master cost center Hierarchy activated

/LQH&KDUDFWHULVWLFV


0ORGUNIT Organizational unit Hierarchy activated

4XHU\37B&B4,OOQHVV5DWH

3XUSRVHThis query is used to compare illness-related absence times of employees with the planned working times of aquarter.

7HPSODWHV6WUXFWXUHV


0QT_QUARTERLY Quarterly view Current, last, andthe 3 quarters pre-ceding the lastquarter




0QT_SICK Illness rate Illness rate

Illness hours

Planned hours

Illness rate =Illness hours/ planned hours in %

.H\)LJXUHV

7HFKQLFDO1DPH 'HVFULSWLRQ &RPPHQWV

Illness rate Calculated in structure 0QT_SICK

0R_SICK_HRS Illness hours Display hidden


)UHH&KDUDFWHULVWLFV






0PERS_SAREA Personnel subarea None

0MAST_CCTR Master cost center Hierarchy activated

/LQH&KDUDFWHULVWLFV(see Query 0PT_C01_Q001)



4XHU\37B&B4/HDYH3HU3ODQQHG

3XUSRVH

This query is used to compare absence times that result from leave taken by employees with the planned workingtimes of a quarter. The actual time is calculated from this basis, and not from the time that debits the leave account,as it can deviate from actual time.

7HPSODWHV6WUXFWXUHV


0QT_QUARTERLY Quarterly view Current, last, and 3quarters precedingthe last quarter

0QT_LEAVE Leave per planned Leave per plannedPlanned leave hoursPlanned hours

Leave per planned =Leave hours/ planned hours in %




.H\)LJXUHV


Leave per planned Calculated in structure 0QT_OVER

0R_OVER_HRS Leave hours Display hidden


)UHH&KDUDFWHULVWLFV





0PERS_AREA Personnel area None0PERS_SAREA Personnel subarea None


/LQH&KDUDFWHULVWLFV



4XHU\37B&B42YHUWLPH5DWH

3XUSRVH

This query is used to compare employees’ overtime with the planned working time of a quarter.

7HPSODWHV6WUXFWXUHV


0QT_QUARTERLY Quarterly view Current, last, and 3

quarters precedingthe last quarter

0QT_OVER Overtime rate Overtime rate Over-time hours Plannedhours

Overtime rate = Over-time hours/ plannedhours in %

.H\)LJXUHV


Overtime rate Calculated in structure 0QT_OVER

0R_OVER_HRS Overtime hours Display hidden





)UHH&KDUDFWHULVWLFV




0EMPLSGROUP Employee subgroup None0PERS_AREA Personnel area None



/LQH&KDUDFWHULVWLFV



4XHU\37B&B4/HDYH7DNHQIRU(IIHFWLYH)XOO7LPH(PSOR\HHV

3XUSRVH

This query is used to compare an employee leave days taken with planned working time in a quarter. The leavedays are based on planned time in full-time employee units (see formula), so that the leave taken result as a keyfigure in the quarter for each organizational unit of an effective full-time employee (FTE). Actual time is not used tocalculate leave days, as is the case in Query 0PT_C01_Q003 (Leave per Planned), but based on account-relevanttime. This results in the efficiency of a full-time employee based on the relationship of planned hours in the quarter

to a quarter of the annual working time of a full-time employee. The annual working time of a full-time employee isstored in the Business Information Warehouse as the formula variable 3B+5<)7 with a default value of KRXUV.

7HPSODWHV6WUXFWXUHV


0QT_QUARTERLY Quarterly view Current, last, andthree quarters pre-ceding the lastquarter

0QT_LEAVE_DAYS Leave days per full-time em-ployee (FTE)

Leave per effectivefull-time employee

Leave hours

Planned hours

Effective FTE = Leavedays/Planned hours x¼ annual workinghours of a FTE

.H\)LJXUHV


Leave per effective FTE Calculated in structure

0R_LEAV_DAY Leave days Display hidden





)UHH&KDUDFWHULVWLFV








/LQH&KDUDFWHULVWLFV



(PSOR\HH7LPHV2YHUYLHZ

4XHU\37B&B4&RPSDULQJ2YHUYLHZRI(PSOR\HH7LPHVWR3UHYLRXV<HDU

3XUSRVH

This query is used to assign employee times from one year according to time types, and then based on a ratio ofplanned working time, to compare times from the previous year.

7HPSODWHV6WUXFWXUHV


0QT_YEAR A_F Compare current year withprevious year

Current year

Previous year

Difference in %

(Current year -previous year)/ previous year in %

0QT_ACTPL Compare actual with planned Actual/planned

Actual hours

Planned hours

Planned hours (dis-play hidden)

Actual hours/ planned hours in %




.H\)LJXUHV


0R_ACT_HRS Actual hours

0R_PLAN_HRS Planned hours

)UHH&KDUDFWHULVWLFV








/LQH&KDUDFWHULVWLFV



4XHU\ 37B&B4 &RPSDULQJ 6HOHFWHG (PSOR\HH 7LPHV DQG 'HELWHG&RVW&HQWHUVWR3UHYLRXV<HDU$QQXDO&RPSDULVRQ

3XUSRVH

This query is used to compare selected employee times from one year with times from the previous year. A hierar-chy can be assigned as the only line characteristic to the cost center debited with the corresponding personnelcosts.

7HPSODWHV6WUXFWXUHV



Current year

Previous year

Difference in %

(Current year -previous year)/ previous year in%

.H\)LJXUHV


0R_ACT_HRS Actual hours Used as filter value

)UHH&KDUDFWHULVWLFV



0EMPLGROUP Employee group None0EMPLSGROUP Employee subgroup None










0REPTT Time type for reporting Only selected values

/LQH&KDUDFWHULVWLFV


0DEBT_CCTR Debited cost center Hierarchy activated

additional display of attribute0RESP_PERS, person responsible forprocess

4XHU\37B&B40RQWKO\9LHZRI6HOHFWHG(PSOR\HH7LPHV

3XUSRVH

This query is used to present selected employee times of one year broken down into months. Quarterly and annualsummarizations can also be calculated by choosing the appropriate line characteristics. Personnel area and calen-dar year/month are the selection variables available.

7HPSODWHV6WUXFWXUHV


0QT_TIMES Employee times Illness hours

Productive hours

Overtime hours

Planned hours

.H\)LJXUHV


0R_SICK_HRS Illness hours Contained in structure 0QT_TIMES0R_PROD_HRS Productive hours Contained in structure 0QT_TIMES

0R_OVER_HRS Overtime hours Contained in structure 0QT_TIMES

0R_PLAN_HRS Planned hours Contained in structure 0QT_TIMES

)UHH&KDUDFWHULVWLFV












/LQH&KDUDFWHULVWLFV


0PERS_AREA Personnel area Selection variable

0T_CYEAR Calendar year


0CALMONTH Calendar year/month Selection variable

4XHU\37B&B4(PSOR\HH7LPHV5HSUHVHQWHGLQ)XOO7LPH(PSOR\HH

8QLWV

3XUSRVH

This query is used to compare planned time, productive time, and overtime of a year with the values of the previousyear. The times are represented in full-time employee (FTE) units, in which the number of hours is based on theannual working time of a full-time employee. The annual working time of an FTE is stored in the Business Informa-tion Warehouse as the formula variable 0P_HRYFT with a default value of KRXUV. For example, if an em-ployee’s planned time is 1000 hours annually, then the value would be 0.5 FTE.

7HPSODWHV6WUXFWXUHV



Current year

Previous year

Difference in %

(Current year - previ-ous year)/ previous year in %

0QT_FTE Employee times in units foreffective full-time employee(FTE)

Planned working timefor full-time worker(FTE)

Productive time forFTE

Overtime for FTE

Planned hours

Productive hours

Overtime hours

Planned hours/Annualhours for FTE

Productive

hours/Annual hours forFTE

Overtime hours/Annualhours for FTE




.H\)LJXUHV


0R_ACT_HRS Actual hours

0R_PLAN_HRS Planned hours

)UHH&KDUDFWHULVWLFV





0PERS_AREA Personnel area Keine

0PERS_SAREA Personnel subarea Keine


/LQH&KDUDFWHULVWLFV






3<3D\UROO$FFRXQWLQJ

,QIR&XEH3<B&3D\UROO'DWD

&RQWHQWV

This InfoCube summarizes data from the SAP HR system’s payroll results. It mainly deals with all wage typeamounts from the results table RT. The data is made available in the InfoCube for each wage type on an employeebasis. The source of data is the OHR_PY_1 extractor. The time basis is monthly. Using it´s end date, each payrollperiod is assigned exactly one month, whereby the payroll period used is the period for which the results were cal-culated. For more information, see the remarks on the InfoCube.

The InfoCube contains additional organizational assignment information for the employee grouping. It does not,however, use all the information provided by the extractor. The InfoCube can, if necessary, be used as a templatefor cubes with different organizational assignment criteria.

For more information on the technical elements (characteristics, time characteristics and so on), refer to the 5H

PDUNVRQWKH,QIR&XEHlisted below.

,QIR6RXUFHV

0HR_PY_1

&KDUDFWHULVWLFV

,QIR2EMHFW 'HVFULSWLRQ 1DYLJDWLRQFKDUDFWHULVWLFVDYDLODEOH"

+LHUDUFK\

DYDLODEOH"


0CO_MST_AR Controlling area of master cost center No No







0PERSON Person Yes No

7LPH&KDUDFWHULVWLFV





.H\)LJXUHV

,QIR2EMHFW 'HVFULSWLRQ ,QIR2EMHFWXQLW $JJUHJDWLRQ

EHKDYLRXU





8QLW


0CURRENCY Currency key

7HPSODWHV6WUXFWXUHV

In templates/structures, where reference is made to periods, the periods are displayed in the structure and the pe-riod preview using text variables (&0T_CYEAR&), &0T_CQUAT&). The corresponding values (calendar year, cal-endar quarter) are automatically generated when executing the queries.

Example:

In the “compare previous year with current year” structure, the text variable &T_CALYEA& is used for “previousyear” and “current year”. On executing the query, the text variable is replaced with the corresponding calendaryear, for example, “previous year” is replaced with “1998” and “current year” with “1999”.


Previous year

(&0T_CYEAR&)

Previous year = current calendar

year –1 (&0CYEAR&-1)


(&0T_CYEAR&)

Current calendar year = variablecurrent calendar year(&0CYEAR&)

Difference Difference = current calendaryear-previous year

0QT_2YEARS_DIFF Compare previ-

ous year/ currentyear

Difference in % Difference in % = (current year -previous year)/previous year in %

Current quarter

(&0T_CQUAT&)

Current quarter

(&0CQUART&)

Current quarter-3

(&0T_CQUAT&-3)

Current quarter-3

(&0CQUART&-3)

Current quarter-2

(&0T_CQUAT&-2)

Current quarter-2

(&0CQUART&-2)

0QT_4QUARTER Compare currentquarter and thelast three quar-ters

Current quarter-1

(&0T_CQUAT&-1)

Current quarter-1

(&0CQUART&-1)

Current quarter

(&0T_CQUAT&)

Current quarter

(&0CQUART&)

Current quarter-4

(&0T_CQUAT&-4)

Current quarter-4

(&0CQUART&-4)

Current quarter-3

(&0T_CQUAT&-3)

Current quarter-3

(&0CQUART&-3)

Current quarter-2

(&0T_CQUAT&-2)

Current quarter-2

(&0CQUART&-2)

0QT_45QUARTER Compare currentquarter and thelast four quarters

Current quarter-1

(&0T_CQUAT&-1)

Current quarter-1

(&0CQUART&-1)





:DJH7\SHVIRU5HSRUWLQJ

This ,QIR&XEH contains all the payroll result wage types. In the SAP HR System, wage types sometimes have verydifferent meanings and their importance is valuated differently by users.

Wage types can be selected in a report based on this InfoCube by means of a filter. This selection can be made foruser wage types and technical wage types. The technical wage type /101 (Total Gross Amount) is, for example, ofsignificant size, therefore a corresponding example query is provided.

It is also possible to introduce a wage types hierarchy using the SAP Business Information Warehouse (BW) hier-archy functions. This must, however, be explicitly created in the BW system since it is not provided by the sourcesystem.

7LPH%UHDNGRZQ

The payroll data is provided on a monthly basis by the extractor. Using update rules, this InfoCube can also calcu-late quarterly and annual information from the payroll data (on a calendar basis in each case). Monthly assignmentis best explained using an example. The example assumes that payroll accounting is performed on a weekly basis.

(Monthly payroll runs are usually easy to assign).

Assume that the following payroll results are available for 1999:

For CW 1 in CW 1

For CW 1 in CW 2

For CW 2 in CW 2

For CW 3 in CW 3

For CW 4 in CW 4

For CW 4 in CW 5

For CW 5 in CW 5

The payment date for each week could be:

CW 1 : January 8th

1999

CW 2 : January 15th

1999

CW 3 : January 22nd 1999

CW 4 : January 29th

1999

CW 5 : February 5th

1999

In this case, the data from the first six results is assigned to January and summarized. Only the last result is sum-marized under February.

(PSOR\HHYHUVXV3HUVRQ

In the Business Information Warehouse (BW), the distinction is made between the info objects (PSOR\HH0EMPLOYEE and 3HUVRQ0PERSON based on their attributes. The personal attributes, *HQGHU 0GENDER, 1DWLRQDOLW\0NATION, and /DQJXDJH0PERSLANGU are recorded as navigation attributes in the cube 0PY_C02.




5HPDUNVRQWKH5HVWULFWHG.H\)LJXUHV

The wage types used in the restricted key figures are examples. Replace the examples with the wage types usedin your enterprise.

4XHU\3<B&B44XDUWHUO\:DJH7\SHV2YHUYLHZ

3XUSRVH

This query provides a quarterly overview of any wage types. It is possible to navigate to employee level using vari-ous organizational criteria.

Filter:

On calling up the query, a dialog box appears in which you can enter a wage type to restrict the dataset to beevaluated. You can use individual values, wage type intervals or several individual wage types to enter the wagetype.

)LOWHU 'HVFULSWLRQ0Y_WAGET Wage type

6WUXFWXUH

6WUXFWXUH 'HVFULSWLRQ (OHPHQWV )RUPXOD

0QT_4QUARTER Compare current quarter andthe last three quarters

Current quarter

(&0T_CQUAT&)

Current quarter

(&0CQUART&)

Current quarter-3

(&0T_CQUAT&-3)

Current quarter-3

(&0CQUART&-3)

Current quarter-2

(&0T_CQUAT&-2)

Current quarter-2

(&0CQUART&-2)

Current quarter-1

(&0T_CQUAT&-1)

Current quarter-1

(&0CQUART&-1)

.H\)LJXUH

.H\ILJXUH 5HPDUNV

Amount Information on the wage typeamount (for example, salary, al-

lowance, tax deductions)

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee

0GENDER Gender

0NATION Nationality

0PERSLANGU Employee language







0CO_MST_AR Controlling area master cost center




0COUNTRY_ID Country grouping

/LQH&KDUDFWHULVWLFV

'LPHQVLRQ 'HVFULSWLRQ

0QT_4QUARTER Quarterly comparison



0WAGETYPE Wage type

4XHU\3<B&B4$QQXDO:DJH7\SHV2YHUYLHZ

3XUSRVH

This query provides an annual comparison (absolute and on a percentage basis) of any wage types. It is possibleto navigate to employee level using different/various organizational criteria.

)LOWHU

On calling up the query, a dialog box appears in which you can restrict the amount of data to be evaluated usingthe wage type. You can use individual values, wage type intervals or several individual wage types to enter thewage type.

)LOWHU 'HVFULSWLRQ

0Y_WAGET Wage type

6WUXFWXUH


0QT_2YEARS_DIFF Compare previous year/currentyear

Previous year

(&0T_CYEAR&)

Previous year = currentcalendar year-1

(&0CYEAR&-1)


(&0T_CYEAR&)

Current calendar year =variable current calen-dar year

(&0CYEAR&)

Difference Difference = currentcalendar year -previousyear

Difference in % Difference in % = (cur-rent year-previousyear) / previous year in

%




.H\)LJXUH

.H\ILJXUH 5HPDUNV

Amount Information on the wage typeamount (for example, salary,allowance, tax deductions)

)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee

0GENDER Gender

0NATION Nationality





0CO_MST_AR Controlling area master cost cen-ter





/LQH&KDUDFWHULVWLFV


0QT_2YEARS_DIFF Annual comparison



0WAGETYPE Wage type

4XHU\ 3<B &B4 :DJH 7\SHV 2YHUYLHZ IRU *HU

PDQ\

3XUSRVH

This query provides a quarterly overview of various restricted, Germany specific wage types such as total grossamount and others.

)LOWHU

On calling up the query, a dialog box appears in which you can restrict the amount of data using the personnelnumber, personnel area or personnel subarea. You can use individual values, intervals or several individual values

to enter the named values.




)LOWHU 'HVFULSWLRQ

0Y_EMPLO Personnel number

0Y_PERSB Personnel area

0Y_PERSU Personnel subarea

6WUXFWXUH

Struktur Description Elements Formula

0QT_5QUARTER Compare current quarter and thelast four quarters

Current quarter

(&0T_CQUAT&)

Current quarter

(&0CQUART&)

Current quarter-4

(&0T_CQUAT&-4)

Current quarter-4

(&0CQUART&-4)

Current quarter-3

(&0T_CQUAT&-3)

Current quarter-3

(&0CQUART&-3)

Current quarter-2

(&0T_CQUAT&-2)

Current quarter-2

(&0CQUART&-2)

Current quarter-1

(&0T_CQUAT&-1)

Current quarter-1

(&0CQUART&-1)


.H\ILJXUH 5HPDUNV

OR_WT_BRUTTO Total gross amount

OR_WT_MA10 Standard pay

OR_WT_400 Employment tax

OR_WT_MM10 Overtime hours

OR_WT_269 Employer taxes

)UHHFKDUDFWHULVWLFV


0EMPLOYEE Employee

0GENDER Gender

0NATION Nationality













/LQH&KDUDFWHULVWLFV


Restricted key figures




4XHU\3<B&B4:DJH7\SHV2YHUYLHZ86$

3XUSRVH

This query provides a quarterly overview of various restricted, USA specific wage types such as total gross amountand others.

)LOWHU

On calling up the query, a dialog box appears in which you can restrict the amount of data using the personnelnumber, personnel area or personnel subarea. You can use individual values, intervals or several individual valuesto enter the named values.

)LOWHU 'HVFULSWLRQ

0Y_EMPLO Personnel number

0Y_PERSB Personnel area

0Y_PERSU Personnel subarea

6WUXFWXUH


0QT_5QUARTER Compare current quarter andthe last four quarters

Current quarter

(&0T_CQUAT&)

Current quarter

(&0CQUART&)

Current quarter-4

(&0T_CQUAT&-4)

Current quarter-4

(&0CQUART&-4)

Current quarter-3

(&0T_CQUAT&-3)

Current quarter-3

(&0CQUART&-3)

Current quarter-2

(&0T_CQUAT&-2)

Current quarter-2

(&0CQUART&-2)

Current quarter-1

(&0T_CQUAT&-1)

Current quarter-1

(&0CQUART&-1)


5HVWULFWHGNH\ILJXUH 5HPDUNV

OR_WT_BRUTTO Total gross amount

OR_WT_401 TX withholdingOR_WT_MMXX Overtime

OR_WT_MQ10 Salary




)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee

0GENDER Gender

0NATION Nationality





0CO_MST_AR Controlling area master costcenter





/LQHFKDUDFWHULVWLFV


Restricted key figures

&ROXPQFKDUDFWHULVWLFV



4XHU\3<B&B4:DJH7\SHV&RPSDULVRQIRU3HUVRQQHO$UHDV

3XUSRVH

This query is used to compare wage types from different personnel areas/subareas. As for other organizationalcriteria, the period is designed as a free characteristic.

On calling up the query, a dialog box appears in which you can enter a wage type to restrict the dataset to beevaluated. You can use individual values, wage type intervals or several individual wage types to enter the wagetype.

)LOWHU 'HVFLSWLRQ

0Y_WAGET Wage type

.H\)LJXUH

.H\ILJXUH 5HPDUNV

Amount Information on the wage typeamount




)UHH&KDUDFWHULVWLFV


0EMPLOYEE Employee

0GENDER Gender

0NATION Nationality








0CALMONTH Month

/LQH&KDUDFWHULVWLFV






0QT_WAGETYPE Wage type




3(7UDLQLQJDQG(YHQW0DQDJHPHQW

,QIR&XEH3(B&7UDLQLQJDQG(YHQW0DQDJHPHQW

&RQWHQW

The InfoCube 7UDLQLQJ DQG (YHQW 0DQDJHPHQW (0PE_C01) contains all transaction data relevant to businessevents and bookings loaded from the connected source system(s). The data in the InfoCube is provided by theInfoSources $WWHQGDQFH(OHR_PE_1) and &DQFHOODWLRQ(OHR_PE_2).

The InfoCube contains the general key figures 1XPEHURIFDQFHOODWLRQV (0CANCEL_NO), 1XPEHURIDWWHQGDQFHV(0BOOKING_NO), &DQFHOODWLRQIHHV (0CANCELFEE), $WWHQGDQFHIHHV (0BOOKINGFEE), %XVLQHVVHYHQWGXUDWLRQLQKRXUV (0EVHOURS), %XVLQHVVHYHQWGXUDWLRQLQGD\V (0EVDAYS), and %XVLQHVVHYHQWFRVWV (0EVENTCOSTS).The standard system also provides calculated key figures (such DV$YHUDJH&DQFHOODWLRQ)HHV ) and restricted keyfigures. These are key figures that depend on certain characteristics (such as %LOOHGDWWHQGDQFHIHHV, 1XPEHURI LQWHUQDODWWHQGDQFHV).

The following time dimensions are available for evaluations: FDOHQGDU GD\ , FDOHQGDU \HDU , FDOHQGDU \HDUTXDUWHU and FDOHQGDU\HDUPRQWK.

A number of templates/structures are provided with the InfoCube in the standard system. These tem-plates/structures contain the key figures in combination with certain calculation rules. The templates give you swiftand easy access to frequently used evaluations (such as 7RWDOERRNLQJV). The results are displayed as either ab-solute or percentage values.

For more information on the technical elements (characteristics, time characteristics and so on) of the InfoCube,see 5HPDUNVRQWKH,QIR&XEH.

,QIR6RXUFHV

OHR_PE_1 Attendances

OHR_PE_2 Cancellations

&KDUDFWHULVWLFV

,QIR2EMHFW 'HVFULSWLRQ 1DYLJDWLRQ FKDUDFWHULVWLFVDYDLODEOH"


0EVENTGROUP Business event group No Yes

0EVENTTYPE Business event type No No

0EVENT Business event Yes No0ATTENDEETY Attendee type No No

0ATTENDEE Attendee No No

0EVCOSTINFO Fee indicator No No


0RECV_CCTR Receiving cost center Yes Yes

0CANC_DATE Cancellation date No No

0C_REASON Cancellation reason No No

0EMPLOYEE Employee Yes No

0PERSON Person No No






0GENDER Gender No No

0NATION Nationality No No

0PERSLANGU Language No No

0AGE Age in years No Yes

0CO_MST_AR Controlling area of master costcenter

No No

0MAST_CCTR Master cost center Yes Yes


0JOB Job No No

0HRPOSITION Position Yes No

7LPH&KDUDFWHULVWLFV



0CALQUARTER Calendar year /quarter



.H\)LJXUHV

,QIR2EMHFW 'HVFULSWLRQ ,QIR2EMHFWXQLWV $JJUHJDWLRQEHKDYLRU

0BOOKING_NO Number of attendances None Additive0BOOKINGFEE Attendance fee 0CURRENCY Additive

0CANCEL_NO Number of cancellations None Additive

0CANCELFEE Cancellation fee 0CURRENCY Additive

0EVDAYS Business event duration in days None Additive

0EVHOURS Business event duration in hours None Additive

0EVENTCOSTS Business event costs 0EVCURRCOST Additive

&DOFXODWHG.H\)LJXUHV

,QIR2EMHFW .H\ILJXUH &RQGLWLRQ

0C_PE_001 Total bookings Key figure ’number of attendances’ +key figure ’number of cancellations’

0C_PE_002 Total fees Key figure ’attendance fees’ + keyfigure ’cancellation fees’

0C_PE_003 Average attendance fees Key figure ’attendance fees’ / keyfigure ’number of attendances’

0C_PE_004 Average cancellation fees Key figure ’cancellation fees’ / keyfigure ’number of cancellations’

0C_PE_005 Average total fees ’Total fees’ / ’total bookings’

0C_PE_006 Revenue ’Total fees’ / ’business event costs’





,QIR2EMHFW .H\ILJXUH &RQGLWLRQ

0R_PE_001 Billed attendance fees Key figure ’attendance fee’, re-stricted by characteristic ’fee indica-tor’

0R_PE_002 Allocated attendance fees Key figure ’attendance fee’, re-stricted by characteristic ’fee indica-tor’

0R_PE_003 Billed cancellation fees Key figure ’cancellation fee’, re-stricted by characteristic ’fee indica-tor’

0R_PE_004 Allocated cancellation fees Key figure ’cancellation fee’, re-stricted by characteristic ’fee indica-tor’

0R_PE_005 Number of internal attendees Key figure ’number of attendances’restricted by characteristic ’attendee

type’0R_PE_006 Number of internal cancellations Key figure ’number of cancellations’

restricted by characteristic ’attendeetype’

8QLWV



0EVCURRCOST Currency of business event costs Currency

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)

Previous year = currentcalendar year - 1

(&0CYEAR& - 1)


(&0T_CYEAR&)

Current calendar year =variable current calen-dar year

(&0CYEAR&)

Difference Difference = currentcalendar year - previ-ous year

0QT_PE_001 Compare previousyear with current year

Difference in % Difference in % = (cur-rent calendar year -previous year) / previ-ous year in %

Current quarter - 4

(&0T_CQUAT& - 4)

Current quarter - 4

(&0CQUART& - 4)

Current quarter - 3

(&0T_CQUAT& - 3)

Current quarter - 3

(&0CQUART& - 3)

0QT_PE_002 4 quarters comparison

Current quarter - 2

(&0T_CQUAT& - 2)

Current quarter - 2

(&0CQUART& - 2)




Current quarter - 1

(&0T_CQUAT& - 1)

Current quarter - 1

(&0CQUART& - 1)

Current quarter -4

(&0T_CQUAT& - 4)

Current quarter - 4

(&0CQUART& - 4)

Current quarter - 3

(&0T_CQUAT& - 3)

Current quarter - 3

(&0CQUART& - 3)

Current quarter - 2

(&0T_CQUAT& - 2)

Current quarter - 2

(&0CQUART& - 2)

Current quarter - 1

(&0T_CQUAT& - 1)

Current quarter - 1

(&0CQUART& - 1)

0QT_PE_003 Average 4 quarters

Average 4 quarters Σ of quarter values / 4

Number of attendances

Number of bookings

0QT_PE_004 Total bookings

Total bookings Number of attendances+ number of cancella-tions


Number of cancellations

Total bookings Number of attendances+ number of cancella-tions

Attendances per can-

cellation (ratio)


/ number of cancella-tions

0QT_PE_005 Attendance and can-cellation rate

Cancellation rate: Can-cellations per bookingsin percentage

Number of cancella-tions / total bookings *100

Attendance fees

Cancellation fees

0QT_PE_006 Total fees

Total fees Attendance fees + can-cellation fees

5HPDUNV

5HPDUNVRQWKH&KDUDFWHULVWLFV

You can display the available navigation characteristics by positioning the cursor on the characteristic in questionand using the right mouse button to call &KDUDFWHULVWLFV.

The characteristic $JHLQ\HDUV (0AGE) is a calculated characteristic: it calculates an employee’s age at the end ofa period.

The characteristic $WWHQGHH W\SH (0ATTENDEETY) is used to differentiate and evaluate internal and external at-tendees. This depends on what attendee types you have defined as internal and external. You must define atten-dee types before you can evaluate employee data, for example.

Characteristic (PSOR\HHvs. 3HUVRQ: A person can have multiple assignments as an employee. To be able to dis-tinguish between work relationships (characteristic (PSOR\HH 0EMPLOYEE) and real persons (characteristic 3HUVRQ 0PERSON), a person is deemed an attribute of an employee.




5HPDUNVRQWKH7LPH&KDUDFWHULVWLFV

The time units used in the Infocube to calculate a time period are decimal minutes and decimal hours. In otherwords, 100 minutes = 1 hour. So, for example, 1h 20 min = 1,30 decimal hours.

5HPDUNVRQWKH5HVWULFWHG.H\)LJXUHV

Restricted key figures are derived from the key figures of the InfoCubes using a filter of one or more characteristicsof the InfoCubes.

5HPDUNVRQWKH8QLWV

The currency unit used to specify and calculate fees and costs in the InfoCube is the target currency US$. Totalsare rounded off to two places after the decimal point.

5HPDUNVRQWKH7HPSODWHV6WUXFWXUHV

The last completed quarter is taken as the calculation base in the structures TXDUWHUVFRPSDULVRQ(0QT_PE_002)and $YHUDJHTXDUWHUV (0QT_PE_003), since there are complete values available for this quarter. So, for example,in a query that compares 4 quarters, starting in the second quarter of 1999, the values of the last 4 completed

quarters are compared: 1/99, 4/98, 3/98 and 2/98.

In templates/structures where time periods are referenced, text variables (&0T_CYEAR&, &0T_CQUAT&) are usedto display the periods in the structure. When the query is executed, the corresponding values (calendar years, cal-endar quarters) are generated automatically.

Example:

The text variable &0T_CYEAR& is used for 3UHYLRXV\HDU and &XUUHQW\HDU in the structure &RPSDUHSUHYLRXV\HDU ZLWKFXUUHQW\HDU . When the query is executed, the text variables are replaced by the relevant values: ’1998’ for SUHYLRXV\HDU and ’1999’ for FXUUHQW\HDU .

5HPDUNVRQWKH+LHUDUFKLHV

If hierarchies exist for the InfoObjects %XVLQHVVHYHQWJURXS (0EVENTGROUP), RUJDQL]DWLRQDO XQLW (0ORGUNIT)

and 0DVWHUFRVWFHQWHU(0MAST_CCTR), you can activate these with → &KDUDFWHULVWLFV. This enables the hierarchi-cal representation of multi-layer aggregations.

In 7UDLQLQJDQG(YHQW0DQDJHPHQW , the hierarchical display feature is only available for business event groups thathave event dates for which bookings have actually been made.

SAP does not deliver hierarchies for $JHLQ \HDUV. However, you can define your own hierarchies for the charac-teristic $JHLQ\HDUV (0AGE). The intervals in the structure are user-definable. You can, for example, define 5-yearintervals (25-30 years; 30-35 years and so on). This enables you to define hierarchies that suit company-specificrequirements and best reflect the age structure in your company.

You can switch the presentation hierarchy on and off as required using the $FWLYHswitch under 3UHVHQWDWLRQKLHUDUFK\ of the characteristic concerned.

5HPDUNVRQWKH8SGDWH5XOHV

In the update rules, multiple fields from master data tables are read at the end of the period (usually on the last dayof the month) and these are written as characteristics to the InfoCube. This requires that the master data is loadedand activated before the Infosources.




$WWHQGDQFHDQG&DQFHOODWLRQ(YDOXDWLRQV

4XHU\3(B&B41XPEHURI$WWHQGDQFHVDQG&DQFHOODWLRQV

3XUSRVH

This query displays the numbers of attendances and cancellations, the sum total of these, the total number ofbookings per business event group for the current year.

You can further differentiate the evaluation using the free characteristics by selecting line characteristics to suityour requirements.

7HPSODWHV6WUXFWXUHV


Number of atten-dances

Number ofbookings


Total bookings Number of atten-dances + numberof cancellations

.H\)LJXUH

7HFKQLFDOQDPH .H\ILJXUH 5HPDUNV

0CANCEL_NO Number of cancellations

0BOOKING_NO Number of attendancesTotal bookings Calculated in structure 0QT_PE_004

)UHH&KDUDFWHULVWLFV


0EVENTTYPE Business event type

0EVENT Business event

0ATTENDEETY Attendee type

0ATTENDEE Attendee

/LQH&KDUDFWHULVWLFV


0EVENTGROUP Business event group







4XHU\3(B&B4$QQXDO&RPSDULVRQRI%RRNLQJV

3XUSRVH

This query compares the number of bookings for the current year with the total for the previous year, that is, thesum total of attendances and cancellations. It also displays the absolute difference and the difference in percent-age.


7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)

Previous year =current calendaryear - 1

(&0CYEAR& - 1)

0QT_PE_001 Compare previous year with currentyear


(&0T_CYEAR&)


(&0CYEAR&)

Difference Difference =current calendaryear - previousyear

Difference in % Difference in % =(current calendaryear - previousyear) / previousyear in %


Number of can-cellations


Total Bookings Number of atten-dances + numberof cancellations

.H\)LJXUHV

.H\ILJXUH 5HPDUNV

Total bookings Calculated in structure 0QT_PE_004

Number of attendances Display hidden

Number of cancellations Display hidden

5HPDUNVRQWKH.H\)LJXUHV

You can hide the key figures used in a query if required. You do so by calling &KDUDFWHULVWLFV with the right mousebutton and selecting +LGH. You can display key figures that are hidden in the standard system by deactivating the

+LGH option.




)UHH&KDUDFWHULVWLFV


0EVENTTYPE Business event group



0ATTENDEE Attendee

/LQH&KDUDFWHULVWLFV



4XHU\3(B&B4$WWHQGDQFHDQG&DQFHOODWLRQ5DWH

3XUSRVH

This query displays the attendance and cancellation rate from the previous year compared with that of the currentyear. The key figure $WWHQGDQFHSHUFDQFHOODWLRQdisplays the number of attendances per one cancellation, thusindicating the ratio of cancellations to attendances. The key figure $WWHQGDQFHUDWH on the other hand, indicates thepercentage of cancellations to total bookings.

You can further differentiate the evaluation using the free characteristics by selecting line characteristics to suityour requirements

7HPSODWHV6WUXFWXUHV





Attendances percancellation(ratio)

Number of atten-dances / numberof cancellations

0QT_PE_005 Attendance and cancellation rate

Cancellation rate:cancellations perbookings in per-centage

Number of can-cellations / totalbookings * 100

.H\)LJXUHV

7HFKQLFDOQDPH .H\ILJXUH 5HPDUNV

0BOOKING_NO Number of attendances

0CANCEL_NO Number of cancellations


Attendances per cancellation Calculated in structure 0QT_PE_005

Cancellation rate Calculated in structure 0QT_PE_005




)UHH&KDUDFWHULVWLFV





0ATTENDEE Attendee

/LQH&KDUDFWHULVWLFV






4XHU\3(B&B4%XVLQHVV(YHQW'XUDWLRQ

3XUSRVH

This query serves to evaluate the duration of business events in days and hours for the current year. The queryalso displays the business event duration in days and hours expressed as a percentage value of the total durationof all business events. Reporting is done at the level of business event groups in the standard system.


.H\)LJXUHV

.H\ILJXUH 5HPDUNV

Business event duration in days

Percentage distribution of days Business event duration in days percharacteristic value / Total businessevent duration in days * 100

Business event duration in hours

Percentage distribution of hours Business event duration in hours per

characteristic value / Total businessevent duration in hours * 100

)UHH&KDUDFWHULVWLFV





0ATTENDEE Attendee




/LQH&KDUDFWHULVWLFV






(YDOXDWLRQVRI%XVLQHVV(YHQW)HHV

4XHU\3(B&B4$WWHQGDQFHDQG&DQFHOODWLRQ)HHV

3XUSRVH

This query compares the fees incurred for business event attendance and cancellations per business event groupfor the current year with those for the previous year. It also displays the difference expressed both as a percentageand as an absolute value.


7HPSODWHV6WUXFWXUHV


Previous year(&0T_CYEAR&)

Previous year =current calendaryear-1

(&0CYEAR&-1)



(&0T_CYEAR&)


(&0CYEAR&)

Difference Difference =current calendar

year - previousyear


Attendance fees

Cancellation fees


Total fees Attendance fees+ cancellation

fees




.H\)LJXUHV

.H\ILJXUH 5HPDUNV

Total fees Calculated in structure 0QT_PE_006

Attendance fees Display hidden

Cancellation fees Display hidden


You can hide the key figures used in a query if required. You do so by calling &KDUDFWHULVWLFV with the right mousebutton and selecting +LGH. You can display key figures that are hidden in the standard system by deactivating the+LGH option.

)UHH&KDUDFWHULVWLFV





0ATTENDEE Attendee

/LQH&KDUDFWHULVWLFV



5HPDUNVRQWKH)UHH&KDUDFWHULVWLFVDQG)LOWHUV

You can evaluate training and education fees per employee, for example, using the drilldown function. You do soby selecting the free characteristic $WWHQGHH as line characteristic and as filter the $WWHQGHH W\SH you defined foremployees.

4XHU\3(B&B4)HH'LVWULEXWLRQE\,QWHUQDODQG([WHUQDO%RRNLQJV

3XUSRVH

This query displays fee distribution by settlement type. The query compares attendance and cancellation fees forthe current year per business event group with those for the previous year, whereby internal and external fees aretaken separately.


7HPSODWHV6WUXFWXUHV



Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)





(&0T_CYEAR&)


(&0CYEAR&)

Difference Difference =

current calendaryear - previousyear



Number of can-

cellations


Total bookings Attendance fees+ number of can-cellations

Attendance fees

Cancellation fees


Total fees Attendance fees+ cancellationfees

.H\)LJXUHV.H\ILJXUH 5HPDUNV





Number of Attendances Display hidden

Number of Cancellations Display hidden



)UHH&KDUDFWHULVWLFV









0ATTENDEE Attendee

/LQH&KDUDFWHULVWLFV


0EVCOSTINFO Fee indicator

5HPDUNVRQWKH)HH,QGLFDWRUV

Indicator ( stands for external billing, , for internal cost allocation.

4XHU\3(B&B4)HH5DWHV

3XUSRVH

This query compares the average business event fees incurred for the current year with the average fees for the

previous year. The query serves to evaluate the average cost of training measures per business event.


7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)



(&0T_CYEAR&)


(&0CYEAR&)


Difference in % Difference in % =

(current calendaryear - previousyear) / previousyear in %





Attendance fees0QT_PE_006 Total fees

Cancellation fees





.H\)LJXUHV

.H\ILJXUH 5HPDUNV

Average total fees Total fees / total bookings

Average attendance fees Attendance fees / number of atten-dances; display hidden

Average cancellation fees Cancellation fees / number of can-cellations; display hidden

Total bookings Number of attendances + number ofcancellations; display hidden



Total fees Attendance fees + cancellation fees;display hidden



5HPDUNVRQ.H\)LJXUHV


)UHH&KDUDFWHULVWLFV





0ATTENDEE Attendee

/LQH&KDUDFWHULVWLFV

,QIR2EMHFW 'HVFULSWLRQ0EVENTGROUP Business event group

(YDOXDWLRQVRI2UJDQL]HUV6DOHVDQG&RVWV

4XHU\3(B&B4$QQXDO&RPSDULVRQRI5HYHQXHV

3XUSRVH

This query compares the current year’s revenue received by the event organizer with that for the previous year.The query evaluates revenue per business event group, where revenue is understood as business event fees mi-nus business event costs. ’Total fees’ stand for business event sales here.





7HPSODWHV6WUXFWXUHV


Previous year(&0T_CYEAR&)


(&0CYEAR&-1)



(&0T_CYEAR&)


(&0CYEAR&)

Difference Difference =current calendar

year - previousyear


Attendance fees

Cancellation fees



.H\)LJXUHV

.H\ILJXUH 5HPDUNV

Total revenue ’Total fees’ - ’Business event costs’

Total fees Attendance fees + cancellation fees;display hidden



Business event costs Display hidden



)UHH&KDUDFWHULVWLFV


0EVENTTYPE Business event type0EVENT Business event





0ATTENDEE Attendee

/LQH&KDUDFWHULVWLFV



4XHU\3(B&B4$QQXDO&RPSDULVRQRI%XVLQHVV(YHQW&RVWV

3XUSRVH

This query compares business event costs incurred for the current year with costs for the previous year. The queryalso displays the increase in costs expressed as a percentage and as an absolute value.


7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)



(&0T_CYEAR&)


(&0CYEAR&)



.H\)LJXUHV

.H\ILJXUH 5HPDUNV

Business event costs

)UHH&KDUDFWHULVWLFV





0ATTENDEE Attendee




/LQH&KDUDFWHULVWLFV



(YDOXDWLRQVRI(PSOR\HHV

4XHU\ 3(B&B4 7UDLQLQJ DQG (GXFDWLRQ %DVHG RQ 2UJDQL]DWLRQDO$VVLJQPHQW

3XUSRVH

This query compares event bookings per organizational unit for the current year with bookings per organizationalunit for the previous year.


)LOWHU



The filter ’Attendee type’ is delivered empty in the standard system. Before you can use the filter in your evalua-tions, you must assign the internal attendee types (e.g. ’Person’) you want to use as values to the characteristic $WWHQGHHW\SH.

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)



(&0T_CYEAR&)


(&0CYEAR&)



Number of atten-

dances







.H\)LJXUHV

.H\ILJXUH 5HPDUNV






)UHH&KDUDFWHULVWLFV,QIR2EMHFW 'HVFULSWLRQ





0ATTENDEE Attendee

0PERSON Person

0EMPLOYEE Employee

0CO_MST_AR Controlling area of master cost center


0GENDER Gender

0AGE Age in years

/LQH&KDUDFWHULVWLFV



4XHU\ 3(B&B4 7UDLQLQJ DQG (GXFDWLRQ )HHV %DVHG RQ 2UJDQL]DWLRQDO$VVLJQPHQW

3XUSRVH

This query compares the costs incurred for training and education per organizational unit for the current year withthe costs for the previous year.

You can further differentiate the evaluation using the free characteristics by selecting line characteristics to suit

your requirements.




)LOWHU



The filter ’Attendee type’ is delivered empty in the standard system. Before you can use the filter in your evalua-tions, you must assign the internal attendee types (e.g. ’Person’) you want to use as values to the characteristic

$WWHQGHHW\SH.

7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)



(&0T_CYEAR&)

Current calendaryear = variable

current calendaryear

(&0CYEAR&)


Difference in % Difference in % =(current calendaryear - previousyear) / previous

year in %

Attendance fees

Cancellation fees



.H\)LJXUHV

.H\ILJXUH 5HPDUNV

Total fees Calculated in structure 0QT_PE_006Attendance fees Display hidden




)UHH&KDUDFWHULVWLFV









0ATTENDEE Attendee

0PERSON Person

0EMPLOYEE Employee



/LQH&KDUDFWHULVWLFV



4XHU\3(B&B47UDLQLQJDQG(GXFDWLRQE\7DUJHW$XGLHQFH

3XUSRVH

This query compares event bookings per job for the current year with bookings per job for the previous year.


)LOWHU




7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)

Previous year =current calendar

year-1(&0CYEAR&-1)



(&0T_CYEAR&)


(&0CYEAR&)

Difference Difference =Current calendaryear - Previousyear





Number of atten-

dancesNumber of can-cellations



.H\)LJXUHV

.H\ILJXUH 5HPDUNV






)UHH&KDUDFWHULVWLFV






0ATTENDEE Attendee

0PERSON Person

0EMPLOYEE Employee




0GENDER Gender

0AGE Age in years

/LQH&KDUDFWHULVWLFV


0JOB Job




4XHU\3(B&B47UDLQLQJDQG(GXFDWLRQ)HHVE\7DUJHW$XGLHQFH

3XUSRVH

This query displays the fees for training and education per job for the current year compared with the costs per jobfor the previous year.


)LOWHU




7HPSODWHV6WUXFWXUHV


Previous year

(&0T_CYEAR&)


(&0CYEAR&-1)



(&0T_CYEAR&)

Current calendaryear = variablecurrent calendar

year(&0CYEAR&)



Attendance fees

Cancellation fees



.H\)LJXUHV:

.H\ILJXUH 5HPDUNV


Attendance fees Display hiddenCancellation fees Display hidden






)UHH&KDUDFWHULVWLFV






0ATTENDEE Attendee

0PERSON Person

0EMPLOYEE Employee




0GENDER Gender

0AGE Age in years

/LQH&KDUDFWHULVWLFV


0JOB Job

.H\ILJXUHV

1XPEHURI&DQFHOODWLRQV

InfoObject: 0CANCEL_NO

Content: This key figure displays the number of cancellations. Please note that the number of cancel-lations, which results from a cancellation transaction, can be greater than 1. This would bethe case with the cancellation of a group booking where the number of attendees is greaterthan 1. Refer to the description of the key figure Number of Attendances.

Definition/Formula: None (The key figure corresponds to the value contained in the InfoObject.)

Prerequisites: None

1XPEHURI$WWHQGDQFHV

InfoObject: 0BOOKING_NO

Content: This key figure displays the number of attendances. Please note that the number of atten-dance bookings, which results from a booking transaction, can be greater than 1. This wouldbe the case for a group booking (for a company or an organizational unit) where the numberof attendees is greater than 1.





Prerequisites: None

([WHUQDOHYHQWSULFH

InfoObject: 0EVPRICEEXT

Content: The key figure contains the external event price.


Prerequisites: None

,QWHUQDOHYHQWSULFH

InfoObject: 0EVPRICEINT

Content: The key figure contains the internal event price.


Prerequisites: None

0D[LPXPHYHQWFDSDFLW\

InfoObject: 0EVMAXCAP

Content: The key figure contains the maximum event capacity.


Prerequisites: None

0LQLPXPHYHQWFDSDFLW\

InfoObject: 0EVMINCAP

Content: The key figure contains the minimum event capacity.


Prerequisites: None

2SWLPXPHYHQWFDSDFLW\

InfoObject: 0EVOPTCAP

Content: The key figure contains the optimum event capacity.

&DQFHOODWLRQIHH

InfoObject: 0CANCELFEE

Content: The key figure contains the cancellation fee.

$WWHQGDQFHIHH

InfoObject: 0BOOKINGFEE




Content: The key figure contains the attendance fee.


Prerequisites: None

%XVLQHVVHYHQWGXUDWLRQLQKRXUV

InfoObject: 0EVHOURS

Content: The key figure contains the business event duration in hours.


Prerequisites: None

%XVLQHVVHYHQWGXUDWLRQLQGD\V

InfoObject: 0EVDAYS

Content: The key figure contains the business event duration in days.


Prerequisites: None

%XVLQHVVHYHQWFRVWV

InfoObject: 0EVENTCOSTS

Content: The key figure contains the event costs.


Prerequisites: None




/RJLVWLFV

6'6DOHVDQG'LVWULEXWLRQ

,QIR&XEH6'B&&XVWRPHU

&RQWHQW

Key figures: Customer

,QIR6RXUFHV

2LIS_01_S001: SD Customer

&KDUDFWHULVWLFV



0DISTR_CHAN Distribution channel No No

0DIVISION Division No No

0MATERIAL Material number Yes Yes

0SALESORG Sales organization Yes Yes

0SOLD_TO Sold-to party Yes Yes



7LPHFKDUDFWHULVWLFV



0CALMONTH Calendar year / month

0CALWEEK Calendar year / week



.H\ILJXUHV


EHKDYLRU

0CRMEM_CST Credit memo cost 0STAT_CURR Cumulated data




0CRMEM_QTY Credit memo quantity 0BASE_UOM Cumulated data

0CRMEM_VAL Net value of credit memos 0STAT_CURR Cumulated data

0INCORDCST Cost of incoming orders 0STAT_CURR Cumulated data

0INCORDQTY Quantity of incoming orders 0BASE_UOM Cumulated data

0INCORDVAL Net value of incoming orders 0STAT_CURR Cumulated data

0INVCD_CST Cost of invoiced sales 0STAT_CURR Cumulated data

0INVCD_QTY Invoiced quantity 0BASE_UOM Cumulated data

0INVCD_VAL Net value of invoiced sales 0STAT_CURR Cumulated data

0OPORDQTYBM Open orders quantity in base unit ofmeasure

0BASE_UOM Cumulated data

0OPORDVALSC Net value of open orders 0STAT_CURR Cumulated data

0ORD_ITEMS Number of order items Cumulated data

0RTNSCST Cost of incoming returns 0STAT_CURR Cumulated data

0RTNSQTY Returns quantity 0BASE_UOM Cumulated data

0RTNSVAL Net value of incoming returns 0STAT_CURR Cumulated data

0RTNS_ITEMS Number of returns items Cumulated data

8QLWV


0STAT_CURR Statistics currency Currency

0BASE_UOM Base unit of measure Unit of measure


In the standard system only the period is updated from the info structure.

4XHU\6'B&B45HWXUQV

3XUSRVH

This query displays information about returns and their value in proportion to all orders.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Number of return items Number of return items




Number of order items Number of order items

Rate of returns Number of return items / Number of order items in %

Returns quantity Quantity of deliveries that have been returned

Quantity of incoming ordersin base unit of measure Quantity of incoming orders

Returns quantity in % Quantity of returns as a percentage of sales volume

Net value of returns Net value of deliveries that have been returned

Net value of incoming orders Net value of incoming orders

Returns value in % Value of returns as a percentage of sales volume value (net values)

)UHHFKDUDFWHULVWLFV




0SALESORG Sales organization

0DISTR_CHAN Distribution channel

0DIVISION Division


4XHU\6'B&B4,QFRPLQJ2UGHUV

3XUSRVH

This query displays incoming order data.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Quantity of incoming ordersin base unit of measure

Quantity of incoming orders

Incoming order cost Costs of incoming orders

Net value of incoming orders Net value of incoming orders

Number of order items Number of order items

Value per order item % Net value of incoming orders / Number of order items in percent




)UHHFKDUDFWHULVWLFV






0DIVISION Division


4XHU\6'B&B4&UHGLW0HPRV

3XUSRVH

This query is used to display credit memos and their value in proportion to the sales volume.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Credit memo quantity Quantity in credit memos

Credit memo cost Cost is net value minus costs for an order

Credit memo net value Credit memo in net value Gutschrift über einen Nettowert

Credit memo quantity % Credit memo quantity / Sales volume quantity in percent

Credit memo value % Credit memo net value / Sales volume net value in percent

)UHHFKDUDFWHULVWLFV






0DIVISION Division





4XHU\6'B&B46DOHV9ROXPH

3XUSRVH

This query displays sales volume data.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Sales volume quantity Total quantity of delivered items

Net sales volume value Total value of deliveries

Sales volume cost Total cost of deliveries

)UHHFKDUDFWHULVWLFV






0DIVISION Division


4XHU\6'B&B4±6DOHV3ODQDFWXDOYDULDQFHFXUUHQW\HDUSUHYLRXV\HDU

3XUSRVH

This query shows plan/actual values current year and previous year

6WUXFWXUH

.H\ILJXUHV &RPPHQWV

Plan sales cumulative year Planed sales cumulative year

Actual sales cumulative year Actual sales cumulative year

Actual sales in previous year Actual sales in previous year

Plan variance Plan variance

Plan variance % Variance of sales in percent (current year)




Variance previous year % Variance of sales in percent (previous year)

)UHHFKDUDFWHULVWLFV

,QIR2EMHFW &RPPHQWV

0CALMONTH CalYear/Month

0SOLD_TO_0INDUSTRY Industry

0SOLD_TO_0COUNTRY Country

0MATERIAL_0MATL_TYPE Material type

0MATERIAL Material

0MATERIAL_0PROD_HIER Product hierarchy


0DIVISION Division


4XHU\ 6'B&B4 ± 6' ,QFRPLQJ RUGHUVUHYHQXH0RQWKVRIFXUUHQW\HDU

3XUSRVH

This query shows incoming orders und revenues per month of current year

6WUXFWXUH

.H\ILJXUHV &RPPHQWV

Open IO net value Open incoming orders net value

IO net value Incoming orders net value

IO cost value Incoming orders cost value

Material cost share Material cost share

Net value of invoices sales Net value of invoiced sales

Net value of credit memos Net value of credit memos

Corrected sales revenue Net value of invoices sales minus Net value of credit memos

Free characteristics

,QIR2EMHFW &RPPHQWV






0DIVISION Division


0SOLD_TO Sold to party


4XHU\ 6'B&B4 ± 6' 5HWXUQV 4XDQWLWLHV YDOXHV

3XUSRVH

Query shows returns quantities and values.

6WUXFWXUH

.H\ILJXUHV &RPPHQWV

Net value of incoming returns Net value of incoming returns

Returns quantity Returns quantity

)UHHFKDUDFWHULVWLFV

,QIR2EMHFW &RPPHQWV



0DIVISION Division

0SOLD_TO Sold to party

0MATERIAL Material

4XHU\6'B&B43URGXFW$QDO\VLV

3XUSRVH

List the Products of a company by incoming orders, sales and contribution margin.




6WUXFWXUH

.H\ILJXUHV &RPPHQWV

Incoming orders Net value of incoming orders

Incoming orders Qty. Quantity of incoming orders

Sales Net value of invoiced sales (sold products)

Inv. Qty Invoiced Quantity

Open orders Order, which has not been delivered yet

Open orders Qty Open orders quantity

&KDUDFWHULVWLFV


0MATERIAL_0MATL_GROUP Material group

0MATERIAL_0MATL_TYPE Material type0MATERIAL Material

6'B&B4$QDO\VHV3URGXFW3URILWDELOLW\

3XUSRVH

This query analyses the product profitability.

6WUXFWXUH

.H\)LJXUH &RPPHQWV


Share of total (%) Percentage of Total Sales

Cost of Sales Stock value of Invoiced Sales (Stock value multiplied by the order/invoicequantity)

Share of total (%) Percentage of Total Cost of Sales

Cont. Marg. Contribution Margin (Sales – Cost of Sales)

Cont. Marg. (%) Contribution Margin in percent

Share of total (%) Percentage of Total Contribution Margin

&KDUDFWHULVWLFV



0MATERIAL Material

0SOLD_TO_0COUNTRY Country of the Sold-to party (customer)

0MATERIAL_0MATL_GROUP Material group




4XHU\6'B&B47RS&XVWRPHU

3XUSRVH

This query analyses the Sales of a Customer over a period of time.

6WUXFWXUH

.H\)LJXUH &RPPHQWV





&KDUDFWHULVWLFV


0SOLD_TO Sold-to Party (Customer)

0DIVSION Division

0MATERIAL Material

4XHU\6'B&B4$QDO\VLV,QFRPLQJ2UGHUV

3XUSRVH

This query analyses the incoming orders in relation to the open orders.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Incoming orders (IO) Net value of incoming orders

Open orders (OO) Order, which has not been delivered yet

OO % IO Percentage open orders of incoming orders

Delta IO/OO Incoming orders – open orders

&KDUDFWHULVWLFV


0DISTR_CHAN Distribution Channel

0DIVISION Division

0SOLD_TO_0INDUSTRY Industry of the Sold-to party (customer)


0SOLD_TO Sold to party (customer)




0MATERIAL Material

4XHU\6'B&B4$QDO\VLV6DOHV&RVW

3XUSRVH

This Query compares the Sales with the Cost of Sales on a monthly basis.

6WUXFWXUH

.H\)LJXUH &RPPHQW



Cost of Sales (%) Cost of Sales as percentage of Sales



&KDUDFWHULVWLFV


0CALMONTH Calendar Year/Month

0SOLD_TO Sold-to Party (Customer)

0SALESORG Sales Organization


0DIVISION Division


4XHU\6'B&B4$QDO\VLV'LVWULEXWLRQ&KDQQHO

3XUSRVH

This Query analyses the Order Volume per Distribution Channel.

6WUXFWXUH

.H\)LJXUH &RPPHQW


Share of total (%) Percentage of Total Sales


Share of total (%) Percentage of Total Cost of Sales






Share of total (%) Percentage of Total Contribution Margin

&KDUDFWHULVWLFV




0SOLD_TO_0INDUSTRY Industry of the Sold-to party (customer)

,QIR&XEH6'B&'HOLYHULHV

&RQWHQW

Key figures delivery

,QIR6RXUFHV

2LIS_01_S005: Deliveries

&KDUDFWHULVWLFV


DWWULEXWDYDLODEOH"

([WHUQDO KLHUDUFKLH

DYDLODEOH"

0FORWAGENT Carrier Yes Yes

0RECIPCNTRY Destination country No No

0ROUTE Route No No

0SHIP_POINT Shipping point No No



7LPHFKDUDFWHULVWLFV










.H\ILJXUHV


0DEL_GR_WT Gross weight of deliveries 0UNIT_OF_WT Cumulated data

0DEL_NT_WT Net weight of deliveries 0UNIT_OF_WT Cumulated data

0DEL_VOL Volume of deliveries 0VOLUMEUNIT Cumulated data

0DEL_WRK Labor required for deliveries on hand Cumulated data

0RTNS_GR_WT Gross weight of returns deliveries 0UNIT_OF_WT Cumulated data

0RTNS_NT_WT Net weight of returns deliveries 0UNIT_OF_WT Cumulated data

0RTNS_VOL Volume of returns delivery 0VOLUMEUNIT Cumulated data

0RTNS_WRK Labor required for returns deliverieson hand Cumulated data

8QLWV


0UNIT_OF_WT Unit of weight Units of measure

0BASE_UOM Volume unit Units of measure

&RPPHQWVRQXSGDWHUXOHV

4XHU\6'B&B4±6DOHVZHHNO\GHOLYHULHV

3XUSRVH

Key figures deliveries per shipping point

6WUXFWXUHV

.H\ILJXUHV &RPPHQWV

Gross weight of deliveries Gross weight of deliveries

Labour required for deliverieson hand

Labour required for deliveries on hand

Volume of deliveries Volume of deliveries

Gross weight of returns de-liveries

Gross weight of returns deliveries

Labour required for returnson hand

Labour required for returns on hand




)UHHFKDUDFWHULVWLFV

,QIR2EMHFW &RPPHQWV

0ROUTE Route

0RECIPCNTRY Destination

0FORWAGENT Carrier

,QIR&XEH6'B&6DOHV2YHUYLHZ

&RQWHQWV

This InfoCube contains all transaction data from sales orders, deliveries and billing documents/invoices.

,QIR6RXUFHV

2LIS_01_S260: SD - Sales order

2LIS_01_S261: SD – Delivery

2LIS_01_S262: SD - Billing document

2LIS_01_S263: SD - Sales order / delivery

&KDUDFWHULVWLFV



0BILLTOPRTY Bill-to party Yes Yes



0DOC_CATEG Sales document category No No

0PLANT Plant No No

0SALESORG Sales organization No Yes

0SALES_GRP Sales group No No

0SALES_OFF Sales office No No

0SHIP_TO Ship-to party Yes Yes

0SOLD_TO Sold-to party Yes Yes








0SHIP_POINT Shipping point No No

0PAYER Payer Yes Yes

0DOC_CLASS Document class

Order/Delivery/Invoice

No No

0DEB_CRED Credit/debit postings (C/D) No No

7LPHFKDUDFWHULVWLFV







.H\ILJXUHV


0SUBTOT_1S Pricing subtotal 1 from pricing de-termination procedure in statisticscurrency

0STAT_CURR Cumulated data









0SUBTOT_6S Pricing subtotal 6 from pricing de-termination procedure in statistics

currency





0OPORDQTYBM Open order quantity in base unit ofmeasure


0OPORDVALSC Net open order value in statisticscurrency

This Keyfigure is not updated bySAP standard updating. If you wantthis keyfigure to be updated, pleasecreate your own update rules (seenote 136605 in OSS).


0DLV_QTY_BM Actual delivered quantity in base unitof measure


0QUANT_B Quantity in base unit of measure 0BASE_UOM Cumulated data

0DOCUMENTS Number of documents Cumulated data

0DOC_ITEMS Number of document items Cumulated data

0NET_VAL_S Net value in statistics currency 0STAT_CURR Cumulated data

0COST_VAL_S Cost in statistics currency 0STAT_CURR Cumulated data

0GR_WT_KG Gross weight in kilograms Kilograms Cumulated data

0NT_WT_KG Net weight in kilograms Kilograms Cumulated data

0VOLUME_CDM Volumes in cubic decimeters Cubic decimeters Cumulated data

8QLWV


0STAT_CURR Statistics currency Currency



In the standard system, the month is updated from the info structure.




&RPPHQWVRQ6SHFLDO,QIR2EMHFWV

0DEB_CRED Credit/Debit Postings (C/D)

Differentiates between target and actual documents.

The following sales document categories (0DOC_CATEG = VBTYP)

generate target postings in the InfoCube:

- Sales order processing:

- - Credit memo request ............…(VBTYP = K)

- - Returns ..................................…(VBTYP = H)

- Delivery processing:

- - Return delivery .…..................…(VBTYP = T)

- Invoice processing:

- - Credit memo............................…(VBTYP = O)

- - Cancelled invoice.....................…(VBTYP = N)

- - Internal consumption (credit)……(VBTYP = 6)

All other categories of sales documents generate actual postings inthe InfoCube.

- 0DOC_CLASS - Document classification: Order/Delivery/Invoice

- Classifies documents as order, delivery and invoicing (billing)documents:

- - O = Order

- - D = Delivery

- - I = Invoice

- :

-

A combination of 0DOC_CLASS and 0DEB_CRED enables you to classify all sales documents simply.

For example:




.H\ILJXUH '2&B&/$66 '(%B&5(' 6LJQLILFDQFH

Incoming orders O D Positive sales docu-ments (orders, schedul-ing agreements, etc.)

Returns O C Negative sales docu-ments (returns, creditmemo requests, etc.)

0DIVISION The divison is updated from the document item.

0DOCUMENTS Number of documents (document counter)

We recommend that you only use the document counter along with

characteristics from the document header (header characteristics).For example, 0SALES_ORG, 0DISTR_CHAN, 0BILLTOPRTY,0SHIP_TO, 0SOLD_TO, 0PAYER, 0DOC_CATEG..

4XHU\6'B&B45HWXUQV

3XUSRVH

This query is used to display the returns and their value in proportion to all incoming orders.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

No. returns items Number of returns items

Order items Number of order items

No_Items_% Number of return items / Number of order items in %

No. returns Number of returns (number of return documents)

No. orders Number of orders

Number_% Number or returns / Number of orders in %

Incoming returns qty Quantity of returns (quantity = total quantity of returned goods)

Incoming order qty Quantity in incoming orders

Quantity_% Percentage of incoming orders that are returns

Incoming returns net val. Net value of deliveries that have been returned

Incoming order value Net value of incoming orders




Value_% Percentage value of net incoming order value that are returns

)UHHFKDUDFWHULVWLFV




0DIVISION Division


4XHU\6'B&B4,QFRPLQJ2UGHUV

3XUSRVH

This query displays incoming order data.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

No. order items Number of order items

Incoming order qty Quantity of items in incoming orders

Incoming order val. Net value of incoming orders

Average value of order Value of incoming orders / Number of orders in %

)UHHFKDUDFWHULVWLFV




0DIVISION Division


4XHU\6'B&B4&UHGLWPHPRV

3XUSRVH

This query displays credit memo values in proportion to the total billing document values.




6WUXFWXUH

.H\ILJXUH &RPPHQWV

No. credit memos items Number of credit memos items

No. billing documents items Number of billing documents items

Number_% Number of credit memos / Number of billing documents in %

Credit memo qty Quantity of credit memos (quantity of goods in credit memos)

Invoiced quantity Quantity of invoiced goods

Credit memo quantity_% Credit memo quantity / Invoiced quantity in %

Credit memo value Net value of credit memos

Invoiced sales net value Net value of invoiced sales

Value_% Credit memo value / Invoiced value in %

Credit memo: cost Credited cost * quantity

Invoiced sales: cost Invoiced cost * quantity

CostValue_% Credit value / Invoiced value in %

)UHHFKDUDFWHULVWLFV




0DIVISION Division


4XHU\6'B&B4'HOLYHULHV

3XUSRVH

This query displays delivery data.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

No. delivery items Number of delivery items

Delivery qty Quantity of delivered goods

Delivery gross weight Gross weight of deliveries

Delivery net weight Net weight of deliveries




Delivery volume Volume of deliveries

)UHHFKDUDFWHULVWLFV




0DIVISION Division


4XHU\6'B&B4%LOOLQJ'RFXPHQWV

3XUSRVH

This query displays billing document data.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

No. invoiced items Number of invoiced items

Invoiced quantities Invoiced quantities

Invoiced sales net value Net value of all invoices

Invoiced sales: cost Invoiced cost * quantity

)UHHFKDUDFWHULVWLFV




0DIVISION Division


4XHU\6'B&B4)XOILOOPHQW5DWHV

3XUSRVH

This query displays open sales orders data.




6WUXFWXUH

.H\ILJXUHV &RPPHQWV

Open orders qty Quantity of order goods that have not yet been delivered

Incoming orders qty Quantity of goods in incoming orders

Fulfillment rate_quantity (Incoming order quantity – open order quantity) / incoming order quantity

)UHHFKDUDFWHULVWLFV




0DIVISION Division


4XHU\6'B&B46DOHV9DOXHV

3XUSRVH

This query displays information about order and sales values.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Incoming orders (net val.) Net value of incoming orders

Incoming returns: net. Val. Net value of deliveries that have been returned

Invoiced sales net value Net value of invoiced sales

Credit memos net val. Net value of credit memos

)UHHFKDUDFWHULVWLFV




0DIVISION Division





4XHU\ 6'B&B4 2UGHU 'HOLYHU\ DQG 6DOHV 4XDQWLWLHV

3XUSRVH

This query displays the order, delivery and sales quantities.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Incoming orders qty. Quantity of incoming order goods in items

Incoming returns qty. Quantity of returns goods in items

Delivery qty. Quantity of delivered goods in items

Delivery returns qty. Quantity of return deliveries goods in items

Invoiced quantity Quantity of invoiced goods in items

Credit memos: qty Quantity of credit memos goods in items

)UHHFKDUDFWHULVWLFV




0DIVISION Division


4XHU\6'B&B4)DXOWOHVV6DOHV2UGHU3URFHVVLQJ

3XUSRVH

This query displays which sales orders were processed without problems.

Sales order processing is regarded as faultless if nothing has been returned.

6WUXFWXUH

.H\ILJXUH &RPPHQWV

Orders items Number of orders items

No. returns items Number of returns items

Number_% (Number of orders items - number of returns items) / Number of ordersitems in %

Number Number of orders - Number of returns




Incoming orders qty. Quantity of goods in incoming orders

Incoming returns qty. Quantity of goods in returned deliveries

Quantity_% (Incoming order quantity – returns quantity) / Incoming order quantity in %

Quantity Incoming order quantity – returns quantity

Incoming order val Net value of incoming orders

Incoming returns: net.val Net value of deliveries that were returned

Value_% (Incoming order value – returns value) / Incoming order value in %

Value Incoming order value - returns value

)UHHFKDUDFWHULVWLFV




0DIVISION Division





0DWHULDOV0DQDJHPHQW

00,&,QYHQWRU\0DQDJHPHQW

5HPDUNVRQ)LOOLQJ1RQ&XPXODWLYH,QIR&XEHV

5HIHUHQFH 'D\ IRU1RQ&XPXODWLYH9DOXHV LQ WKH2/73DQGLQ WKH%:6\VWHP

The non-cumulatives for the non-cumulative InfoCube and those in the OLTP refer to the end-of-day non-cumulatives:

• When loading data, the non-cumulative data (see below) is uploaded as end-of-day non-cumulatives. Whenrunning the delta initialization for the transaction data, all movements from the day DIWHU the non-cumulative keydate must be subsequently uploaded.

• If OLTP evaluations and BW evaluations are compared, the values will be identical.

([DPSOH

OLTP Data:

Closing non-cum. for 1.1.99: 100 units

Inflow 1.1.99: 20 units

Inflow 2.1.99 10 units

Outflow 3.1.99 5 units

A non-cumulative overview in the OLTP results from this:

Key date Non-cum.

1.1.99 100

2.1.99 110

3.1.99 105

When uploading the non-cumulative data from 1.1.99, the non-cumulative 100 units is loaded. Since the inflow of20 units is already contained in the (end-of-day) non-cumulative of 100 units on the OLTP side, only movementsafter the 1.1.99 may then be uploaded when running the delta initialization.

A non-cumulative overview in BW subsequently shows:

Key date Non-cum. Delta

1.1.99 100 --

2.1.99 110 10

3.1.99 105 05

It is necessary to go through various steps to fill the non-cumulative InfoCube 0IC_C01, or. 0IC_C02:

&RQQHFWLQJ3ODQW1RQ&XPXODWLYHVWR%:,QIR&XEH,&B&

,QIR6RXUFHV

2LIS_03_S196 Goods movements




2LIS_03_S198 Periodical plant non-cumulative

$FWLYLWLHVLQ2/73

a) Start program RMCBNEUA for InfoStructure S196, version 000

b) Start program RMCBNERP for InfoStructure S196, version 000

A company code must be entered here as a restriction criterion for the accounting documents. If the accountingdocuments, that belong to the material documents, refer to more than one company code, the program must beexecuted more than once with the corresponding restriction for the other company codes.

c) Start program RMCBNEUB for InfoStructure S032, version 000

d) Start program RMCBS198 for InfoStructure S198 (non-cumulative for the key date, key date must be included inthe analysis period)

The respective structures must be empty. They are delivered empty as standard. If filling the InfoCube proves un-successful and all the activities have to be gone through once more, they can be emptied again using transaction

RMCVISCP.

$FWLYLWLHVLQ%:

a) Start the initialization: InfoSource 2LIS_03_S198 for a chosen key date, for example, 1.1.1996.

Enter update parameter „Initialization“.

Note: You may only start the initialization one time. If the initialization is not started, no opening non-cumulativeis loaded, and the opening non-cumulative is, therefore, calculated as zero.

When initializing, restrictions can be set, for example, for particular material numbers or plants.

b) Initializing the goods movements: InfoSource 2LIS_03_S196; period 2.1.1996 – current.

The day after the key date for the non-cumulative initialization must be entered here, since you can assume thatall movements have already previously influenced the calculation of the non-cumulative.

Update parameter: „Initialization of the Delta Process“. You can then only use the session „Delta Update“.

Note: Restrictions can also be set when initializing goods movements. With this, however, it is important to beaware that all delta movements (therefore also ones that are not restricted) are uploaded when running a deltaupload. Thus, for previously excluded movements (for example, certain materials or plants), movements do alsoexist, but without an initial non-cumulative or any initial movements. If evaluations for these originally excludedmaterials or plants are then made, the non-cumulatives calculated here are incorrect since these initial values are

missing. Both the initialization of the non-cumulatives as well as the initialization of the transaction data should,therefore, be made, provided that organizational measures do not prevent excluded elements from also influencingevaluations.

6SHFLDOIHDWXUHV([DPSOHV

1. Connecting a new plant, creating a new materialSince no opening non-cumulatives exist here, the non-cumulative changes can be posted to BW via the deltaprocess using InfoSource 2LIS_03_S196.

2. Connecting plants or materials, that were already active in the source system and have opening non-cumulatives:

The steps described above should be carried out in the OLTP system and in the BW system for the plant con-cerned (materials).




&RQQHFWLQJ:DUHKRXVH1RQ&XPXODWLYHVWR%:,QIR&XEH,&B&

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Start program RMCBNEUA for S195

Start program RMCBNEUB for S032, only if not yet carried out for plant non-cumulatives, i.e. optional

Start program RMCBS197

All remarks for plant non-cumulatives apply here in the same way.

$FWLYLWLHVLQ%:

All the activities listed under plant non-cumulatives should be carried out for 2LIS_03_S195.

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Stocks.

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2LIS_03_S196

2LIS_03_S198

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0REVERSEDOC Indicates that data should be can-celled

No No

0MATERIAL Material number Yes, Material type,Division, Material

group, Product Hi-erarchy

No

0PLANT Plant No No



7LPH&KDUDFWHULVWLFV


0FISCVARNT Fiscal Year Variants




0FISCPER Fiscal Year / Period

0CALWEEK Calendar Year / Week

0CALMONTH Calendar Year / Month

0CALDAY Calendar Day

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0TOTUSVLAVG Average Total consumption value 0LOC_CURRCY Additive

0TOTUSQTAVG Average total consumption quantity 0BASE_UOM Additive

0CNSSTKQAVG Average Consignment stock quantity 0BASE_UOM Additive

0VALSTKQAVG Average Valuated stock quantity 0BASE_UOM Additive

0VALSTKVAVG Average Valuated stock value 0LOC_CURRCY Additive

0RECCNSSTCK Consignment stock receipts quantity 0BASE_UOM Additive

0NO_REVERSE Number of cancellations Additive

0NO_MATMOVE Number of times material move-ments

Additive

0NO_UNPL_US Number of times an unplanned us-age has been recorded

Additive

0NO_CNS_ISS Number of times consignment stockhas been issued

Additive

0NO_CNS_REC Number of times consignment stockhas been received

Additive

0NO_TOT_US Number of times the total usage hasbeen updated

Additive

0NO_VAL_REC Number of times valuated stock hasbeen received

Additive

0NO_VAL_ISS Number of times valuated stock hasbeen issued

Additive

0CNSSTCKQTY Quantity of consignment stock 0BASE_UOM Additive

0ISSCNSSTCK Quantity of consignment stock thathas been issued

0BASE_UOM Additive

0VALSTCKQTY Quantity of valuated stock 0BASE_UOM Additive

0ISSVALSTCK Quantity of valuated stock issues 0BASE_UOM Additive

0TOT_US_QTY Total consumption quantity 0BASE_UOM Additive

0TOT_US_VAL Total consumption value 0LOC_CURRCY Additive




0UNP_US_QTY Unplanned usage quantity 0BASE_UOM Additive

0UNP_US_VAL Unplanned usage value 0LOC_CURRCY Additive

0RECVALSTCK Valuated stock receipts quantity 0BASE_UOM Additive

0RECVS_VAL Valuated stock receipts value 0LOC_CURRCY Additive

0VALSTCKVAL Value of calculated stock 0LOC_CURRCY Additive

0ISSVS_VAL Valuated outward movement 0LOC_CURRCY Additive

8QLWV



0BASE_UOM Basic unit of measure Unit


Data comes from the LIS

In some queries (for example, ranges of coverage), a predefined SAP material type is used as a filter. Checkwhether your company also uses this material type. If not change it, and save the query and the same workbook.

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These key figures (KPIs) supply data, that illustrate the inventory turnover cycles for the analysis period.

6WUXFWXUHV

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Warehouse Inventory Turn-over of Total Stock

Specifies how often average total stock has been consumed. (Total con-sumption quantity / Total stock- average quantity)

Warehouse Inventory Turn-over of Consignment Stock

Specifies how often average valuated stock has been consumed. (Totalconsumption quantity / Consignment stock – average quantity)

Warehouse Inventory Turn-over of Valuated Stock

Specifies how often average valuated stock has been consumed. (Totalconsumption quantity / Valuated stock- average quantity)

Average Total Stock Ware-house Inventory Turnover

Specifies how often average total stock has been consumed based uponthe average total usage. (Average total consumption quantity / Total stock – average quantity)

Average Warehouse Inven-

tory Turnover of Consign-ment Stock

Specifies how often average consignment stock has been consumed

based upon the average total usage. (Average total consumption quantity / Consignment stock – average quantity)




Average Warehouse Inven-tory Turnover of ValuatedStock

Specifies how often average valuated stock has been consumed basedupon the average total usage. (Average total consumption quantity / Valu-ated stock- average quantity)

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0MATERIAL_0MATL_TYP Material Type

0MATERIAL Material Number

0PLANT Plant

4XHU\,&B&B4,QYHQWRU\'D\VRI6XSSO\4XDQWLW\

3XUSRVH

Indicates how many days the inventory can satisfy the demand based on quantity.

6WUXFWXUHV

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Total DOS - Quantity Inventory days of supply of both, the consignment stock and valuatedstock, together.

Consignment Stock DOS -Quantity

Inventory days of consignment stock

Valuated Stock DOS - Quan-tity

Inventory days of supply of valuated stock.

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0PLANT Plant




4XHU\,&B&B4,QYHQWRU\'D\VRI6XSSO\9DOXH

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Indicates how many days the inventory can satisfy the demand based on value.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Inventory DOS – Value Inventory Days of Supply of valuated stock based on value

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0PLANT Plant

4XHU\,&B&B4)LQLVKHG*RRGV,QYHQWRU\'D\VRI6XSSO\4XDQWLW\

3XUSRVH

Indicates how many days the inventory can satisfy the demand with finished goods based on quantity.

6WUXFWXUHV

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Consignment Stock DOS -Quantity


Valuated Stock DOS - Quan-tity


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0PLANT Plant

4XHU\,&B&B4)LQLVKHG*RRGV,QYHQWRU\'D\VRI6XSSO\9DOXH

3XUSRVH

Indicates how many days the inventory can satisfy the demand with finished goods based on value.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV


)UHH&KDUDFWHULVWLFV






0PLANT Plant

4XHU\,&B&B45DZ0DWHULDO'D\VRI6XSSO\4XDQWLW\

3XUSRVH

Indicates how many days the inventory can satisfy the demand of raw materials based on quantity.

6WUXFWXUHV

.H\)LJXUHV 5HPDUNV


Consignment Stock DOS – Quantity


Valuated Stock DOS – Quantity





)UHH&KDUDFWHULVWLFV






0PLANT Plant

4XHU\,&B&B45DZ0DWHULDO'D\VRI6XSSO\9DOXH

3XUSRVH

Indicates how many days the inventory can satisfy the demand of raw materials based on value

6WUXFWXUHV

.H\)LJXUH 5HPDUNV


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0PLANT Plant

4XHU\,&B&B4,QYHQWRU\2EVROHWH

3XUSRVH

The inventory obsolescence expressed as a percentage of inventory value. Inventory is obsolete when days ofsupply – value (DOS) is greater than the filter (90 days).

6WUXFWXUHV

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Inventory Obsolete Days ofSupply - Value

The result is days of supply for the obsolete inventory or 0




Inventory Obsolete –Value The result is the value of the obsolete inventory or 0

Inventory Obsolete as a % ofTotal Inventory

The inventory obsolescence expressed as a percentage of inventory value

)UHH&KDUDFWHULVWLFV






0PLANT Plant

4XHU\,&B&B4,QYHQWRU\$JLQJ

3XUSRVH

The percentage of total gross inventory (based on value) covered by expected demand within a specific timebucket.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Inventory Aging Time Bucket = 30 Days

)UHH&KDUDFWHULVWLFV






0PLANT Plant

4XHU\,&B&B46WRFN9DOXHV

3XUSRVH

These key figures identify the value of the current inventory situation




6WUXFWXUHV

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Valuated Stock Value Stock value of a material held by a company which is part of the company’scurrent assets.

Average Valuated StockValue

The sum of the daily stock value for the time frame of the analysis dividedby the number of days.

)UHH&KDUDFWHULVWLFV






0PLANT Plant

4XHU\,&B&B46WRFN4XDQWLW\

3XUSRVH

These key figures identify the quantity of the current inventory situation.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Valuated Stock Value Stock quantity of a material held by a company which is part of the com-pany’s current assets.

Average Valuated StockValue

The sum of the daily stock quantity for the time frame of the analysis di-vided by the number of days.

Consignment Stock Quantity Stock quantity of a material held by a company which is part of the ven-dor’s assets.

Average Consignment StockQuantity

The sum of the daily stock quantity for the time frame of the analysis di-vided by the number of days.

Total Stock Quantity Sum of the valuated stock quantity and consignment stock quantity.

Average Total Stock Quantity The sum of the daily stock quantity for the time frame of the analysis di-vided by the number of days.




)UHH&KDUDFWHULVWLFV






0PLANT Plant

4XHU\,&B&B40DWHULDO&RQVXPSWLRQ

3XUSRVH

These key figures provide data that illustrate the overall consumption patterns for a material.

6WUXFWXUHV

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Total qnty of Mat.consumed Material taken from storage as a result of a reservation

Total val. of Mat. consumed Value of reserved material consumed

No. of total consumption Number of times a usage movement occurred

Unplanned ConsumptionQuantity

Material taken from storage without a reservation

Unplanned ConsumptionValue

Value of reserved material consumed

No. of unplanned consump-tion

Number of times an unplanned usage movement occurred

Unplanned Consumption

Value (%)

Percentage (%) of total consumption that was unplanned

Unplanned Movements (%) Percentage (%) of total material movements that were unplanned

)UHH&KDUDFWHULVWLFV









0PLANT Plant

4XHU\,&B&B43URFHVV3HUIRUPDQFH0HDVXUH

3XUSRVH

These key figures provide data that can be utilized in identifying potential process flow bottlenecks

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

No. of Valuated Stock Re-ceipts

No. of Valuated Stock Receipts movements

No. of Valuated Stock Issues No. of Valuated Stock Issues movements

No. of Consignment StockReceipts

No. of Consignment Stock Receipts movements

No. of Consignment StockIssues

No. of Consignment Stock Issues movements

Number of Material Move-ments

Number of Material Movements movements

No. of reversals/cancellations No. of reversals/cancellations movements

Total Receipts (%) % of total movements that are receipts

Total Issues (%) % of total movements that are issues

Total Reversals (%) % of total movements that are reversals

)UHH&KDUDFWHULVWLFV






0PLANT Plant




4XHU\,&B&B4&RQVLJQPHQW6WRFN5HFHLSWVYV,VVXHV

3XUSRVH

This analysis provides a good comparison of the consignment material receipts vs issues. It can be used to identifyif vendor goods are being utilized or to analyze if vendor quantities are too high and potentially using excess space.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Consignment Recpt Quantity Stock that is received into a location but still vendor material

Consignment Issue Quantity Stock that is issued from a location but still vendor material.

Quantity Variance Quality difference between receipts and issues

)UHH&KDUDFWHULVWLFV






0PLANT Plant

4XHU\,&B&B49DOXDWHG6WRFN5HFHLSWVYV,VVXHV

3XUSRVH

This analysis provides comparison of the material receipts vs issues. It can be used to identify when the overallinventory investment trend is too high or too low to meet stocks.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Valuated Receipt Quantity Material received by a company which is part of the company’s currentassets

Valuated Receipt Value Value of material received by a company which is part of the company’scurrent assets

Valuated Issue Quantity Material issued by a company which is part of the company’s current as-sets

Valuated Issue Value Value of material issued by a company which is part of the company’s cur-rent assets

Quantity Variance Difference between receipt quantity and issue quantity




Value Variance Difference between receipt value and issue value

)UHH&KDUDFWHULVWLFV






0PLANT Plant

,QIR&XEH,&B&:DUHKRXVHDQG6WRFNV

,QIR6RXUFHV

2LIS_03_S195

2LIS_03_S197

&KDUDFWHULVWLFV

,QIR2EMHFWV 'HVFULSWLRQ 1DYLJDWLRQ&KDUDFWHULVWLFVDYDLODEOH"

([WHUQDO +LHUDUFK\DYDLODEOH"

0REVERSEDOC Indicates that data should be can-celled

No No

0STOR_LOC Storage location No No

0MATERIAL Material number Yes, Materialtype, Division,Material group,Product Hierar-

chy

No

0PLANT Plant No No

0VTYPE Plant type for reporting No No


7LPH&KDUDFWHULVWLFV


0FISCVARNT Fiscal Year Variants








.H\)LJXUHV

,QIR2EMHFWV 'HVFULSWLRQ 8QLW,QIR2EMHFW $JJUHJDWLRQ

0ISSVALSTCK Quantity of valuated stock issues 0BASE_UOM Additive

0ISSCNSSTCK Quantity of consignment stock thathas been issued

0BASE_UOM Additive

0NO_VAL_ISS Number of times valuated stock hasbeen issued

Additive

0NO_CNS_ISS Number of times consignment stockhas been issued Additive

0NO_TOT_US Number of times the total usage hasbeen updated

Additive

0NO_MATMOVE Number of times material move-ments

Additive

0NO_REVERSE Number of cancellations/reversals Additive

0NO_UNPL_US Number of times an unplanned us-age has been recorded

Additive

0NO_VAL_REC Number of times valuated stock hasbeen received

Additive

0NO_CNS_REC Number of times consignment stockhas been received

Additive

0VALSTKQAVG Average valuated stock quantity 0BASE_UOM Additive

0TOT_US_QTY Total consumption quantity 0BASE_UOM Additive

0CNSSTKQAVG Average consignment stock quantity 0BASE_UOM Additive

0VALSTCKQTY Quantity of valuated stock 0BASE_UOM Additive

0CNSSTCKQTY Quantity of consignment stock 0BASE_UOM Additive

0UNP_US_QTY Unplanned usage quantity 0BASE_UOM Additive

0RECVALSTCK Valuated stock receipts quantity 0BASE_UOM Additive

0RECCNSSTCK Consignment stock receipts quantity 0BASE_UOM Additive

0TOTUSQTAVG Average total consumption quantity 0BASE_UOM Additive




8QLW

,QIR2EMHFWV 'HVFULSWLRQ 7\SH

0BASE_UOM Base unit of measure Unit



In some queries (for example, ranges of coverage), a predefined SAP material type is used as a filter. Checkwhether your company also uses this material type. If not change it, and save the query and the same workbook.

003853XUFKDVLQJ

,QIR&XEH385B&3XUFKDVLQJ'DWD

,QIR6RXUFH

2LIS_02_S012 Purchasing

&KDUDFWHULVWLFV

,QIR2EMHFWV 'HVFULSWLRQ 1DYLJDWLRQ&KDUDFWHULVWLFVDYDLODEOH"



0MATERIAL Material number Yes, Materialtype

No

0MATL_GROUP Material group No No

0PLANT Plant No No

0PURCH_ORG Purchasing Organization No No

0REVERSEDOC Indicates that data must be can-celled/reversed

No No

0VENDOR Vendor number No No






7LPH&KDUDFWHULVWLFV






0FISCVARNT Fiscal Year Variant

.H\)LJXUHV

,QIR2EMHFWV 'HVFULSWLRQ 8QLW,QIR2EMHFW $JJUHJDWLRQ

0DEL_DT_VR1 Delivery date variance 1 Additive





0QTY_DEV_1 Delivery quantity variance 1 Additive





0ORDER_VAL Effective order value 0LOC_CURRCY Additive

0EFF_VAL_RE Effective order value returns 0LOC_CURRCY Additive

0GR_VAL_R_P GR- Returns value for post-

ing date

0LOC_CURRCY Additive

0GR_QTY_WDT Quantity of goods received inbase units of measure (forcalculating requested deliv-ery time)

0BASE_UOM Additive

0GR_QTY_RET Quantity of goods receivedreturns

0BASE_UOM Additive

0GR_VAL_PD Value of goods received forposting date


0IR_QTY_R_P IR: Quantity of returns forposting date

0BASE_UOM Additive




0IR_VAL_R_P IR: Value of returns for post-ing date


0INV_RC_VAL Invoiced amount for postingdate


0IR_VAL_RET Invoiced amount returns 0LOC_CURRCY Additive

0INV_RC_QTY Invoice receipt quantity forposting date

0BASE_UOM Additive

0IV_REC_QTY Invoice receipt quantity 0BASE_UOM Additive

0IR_QTY_RET Invoice receipt quantity re-turns

0BASE_UOM Additive

0INVCD_AMNT Invoiced amount 0LOC_CURRCY Additive

0CONTR_ITEM Number of contract items Additive

0DELIVERIES Number of deliveries Additive

0DEL_SCHEDS Number of delivery sched-ules

Additive

0PO_ITEMLNS Number of purchase orderitem schedule lines

Additive

0PO_ITEMS Number of purchase orderitems

Additive

0QUOT_ITEMS Number of quotation items Additive

0RFQ_ITEMS Number of RFQ items Additive

0SCH_AGR_IT Number of schedulingagreement items

Additive

0PO_QTY_RET Purchase order quantity re-turns

0BASE_UOM Additive

0PO_QTY Purchase order quantity 0BASE_UOM Additive

0GR_QTY Goods received quantity 0BASE_UOM Additive

0TAR_DL_QTY Required delivery quantity 0BASE_UOM Additive

0TOTDELTIME Total delivery time in days Additive

0GR_VAL Goods received value in localcurrency


0WTDDELTIME Weighted total delivery time Additive

8QLW






0BASE_UOM Basic unit of measure Unit



To calculate key figures (KPIs): on-time delivery performance in R/3-specific settings in the LIS: time buckets foron-time delivery performance are required (transaction:MCFA)

In the query: „Country comparison raw materials - goods receipt“, a predefined SAP material type is used as a filter.Check whether your company also uses this material type. If not change it, and save the query and the sameworkbook.

4XHU\385B&B4$YHUDJH'HOLYHU\7LPH9HQGRU

3XUSRVH

The average time for a supplier to stage the required materials.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Average Delivery Time The total delivery time (time difference between ordering and invoicing),divided by the number of deliveries.

Average Weighted DeliveryTime

The total delivery time multiplied with the order quantity, divided by thenumber of deliveries.

)UHH&KDUDFWHULVWLFV




0PLANT Plant

0VENDOR Vendor

4XHU\385B&B46HUYLFH/HYHO9HQGRU

3XUSRVH

The percentage of orders that were completed either before or on the day originally requested.

To calculate the key figure (KPI): ): on-time delivery performance in R/3-specific settings in the LIS: time buckets foron-time delivery performance are required (transaction:MCFA)




6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Service Level The number of orders that were delivered on time, divided by the totalnumber.

)UHH&KDUDFWHULVWLFV




0VENDOR Vendor

5HPDUNV

SAP R/3: LIS Purchasing S012Customizing R/3:

Transaction: MCFAChange the time buckets for the on-time delivery performance

SeNo. Del.det.var

1 - Number

2 0

3 + Number

4 + Number

There must be a 0 in the second position. If there is a 0 in the third position, then the user must add the deliverydate variance 3 to the denominator in the formula.

4XHU\385B&B4)XOILOPHQWUDWH'HOLYHULHV

3XUSRVH

The percentage of orders that have been completed with the correct amount.

6WUXFWXUHV

.H\)LJXUHV 5HPDUNV

Number of Deliveries The number of deliveries

Order Quantity The quantity ordered

Fulfilment Rate - Deliveries The number of deliveries (of the supplier), divided by the quantity ordered




)UHH&KDUDFWHULVWLFV




0PLANT Plant

0VENDOR Vendor

4XHU\385B&B4$YHUDJH'HOLYHU\7LPH0DWHULDO

3XUSRVH

Average time for materials procurement

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Average Delivery Time The total delivery time (time difference between ordering and invoicing),divided by the number of deliveries.

Average Weighted DeliveryTime

The total delivery time multiplied with the order quantity, divided by thenumber of deliveries.

)UHH&KDUDFWHULVWLFV




0VENDOR Vendor

0PLANT Plant

4XHU\385B&B43XUFKDVLQJYDOXHVDFFRUGLQJWRSXUFKDVLQJRUJ

5HPDUNV

This query will not be delivered any more, but it has been rebuild in a more sophisitcated cersion in query0PUR_C01_Q0013.

4XHU\385B&B4'HOLYHU\4XDQWLW\9DULDQFH

3XUSRVH

With this query, you can discover where the goods receipts (quantities) occur in a predefined delivery quantity vari-ance.




6WUXFWXUHV

.H\)LJXUH 5HPDUNV ,QIR2EMHFWV&DOFXODWLRQV

% Delivery Quantity Variance-range 1

Percentage of all deviationsthat fall within range 1

0QTY_DEV_1 / 0SUMQTYVARIANCE



0QTY_DEV_2/ 0SUMQTYVARIANCE










Delivery Quantity Variance- range1

Number of Delivery Quanti-ties that deviated from Pur-chase Order Qty. within in-terval range 1

0QTY_DEV_1



0QTY_DEV_2


Number of Delivery Quanti-ties that deviated from Pur-chase Order Qty. within in-

terval range 3

0QTY_DEV_3



0QTY_DEV_4



0QTY_DEV_5

)UHH&KDUDFWHULVWLFV




0PLANT Plant




4XHU\ 385B&B4'HOLYHU\'DWH9DULDQFH

3XUSRVH

To identify where in a predefined range do deliveries occur.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV ,QIR2EMHFWV&DOFXODWLRQV

% Delivery Date Variance-range 1

Percentage of all deviations that fallwithin range 1

0DEL_DT_VR1/ 0SUMDELIVERYVAR













Delivery Date Variance- range1

Number of Deliveries within intervalrange 1 that deviated from PurchaseOrder due date

0DEL_DT_VR1

Delivery Date Variance- range

2

Number of Deliveries within interval

range 2 that deviated from PurchaseOrder due date

0DEL_DT_VR2



0DEL_DT_VR3



0DEL_DT_VR4


Number of Deliveries within intervalrange 5 that deviated from Purchase

Order due date

0DEL_DT_VR5

)UHH&KDUDFWHULVWLFV




0PLANT Plant




4XHU\385B&B42UGHU4XDQWLWLHV

3XUSRVH

With this query, you can recognize discrepancies between ordered values and the values placed or contained inthe invoice.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Order Quantities Quantity of the materials ordered in orders and deliveries

Invoice Receipt Quantity forPosting Date

Quantity between invoicing and receipt of invoice

Quantity of Goods Received Quantity of goods that, according to the order, have come in

Percentage Invoice ReceiptQuantity to the Order Quantity Percentage of the total order quantity, that was put in the invoice

Difference between Order Quan-tity and Quantity of Goods Re-ceived

Total order quantity of materials that did not come in

Percentage of Quantity of GoodsReceived to Order Quantity

Percentage of the total order quantity that did come in

)UHH&KDUDFWHULVWLFV




0VENDOR Vendor Number

0PLANT Plant

4XHU\385B&B42UGHU$FWLYLWLHV

3XUSRVH

With this query, you can differentiate between different purchasing activities for a given characteristic or for an or-ganization.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

No. Order Items Number of order items

No. RFQ Items Number of order items

No. Quotation Items Number of quotation items




No. Contract Items Number of contract items

No. Scheduling AgreementItems

Number of scheduling agreement items

Total no. of items to deliverTotal number of items to deliver

No. deliveries Total number of deliveries

Percentage of deliveries tototal no. of items

Percentage of deliveries to total number of items

)UHH&KDUDFWHULVWLFV




0VENDOR Vendor Number

0PLANT Plant

4XHU\385B&B49HQGRU&RPSDULVRQUH3XUFKDVLQJ9DOXHV

3XUSRVH

With this query, you can recognize discrepancies between ordered values and the values placed or contained inthe invoice.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Order Quantity Quantity of the ordered materials in orders or scheduling agreements

Effective Order Value Value of the order, inclusive of discounts, surcharges, delivery costs andcash discounts

Invoiced Amount Value is put in the invoice by the supplier

Value of Goods Received inLocal Currency

Value of the quantity, that, according to the order, has come in

Order Value, put in the In-voice, as a Percentage

Percentage of the total order value that was put in the invoice

Open Order Value in theInvoice

Total order value, that was not put in the invoice

Order Value Contained as a

Percentage

Percentage of the total order value, that has come in




)UHH&KDUDFWHULVWLFV


0PLANT Plant

0PURCH_ORG Purchasing Organization

0MATERIAL Material


0VENDOR Vendor

0MATL_GROUP Material Group

4XHU\ 385B&B4 &RXQWU\ &RPSDULVRQ 5DZ 0DWHULDOV ± *RRGV 5HFHLSW

3XUSRVH

Number of raw materials (goods purchased) by region

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Value of Goods Received inLocal Currency

Quantity of the material ordered in purchase orders or scheduling agree-ments

)UHH&KDUDFWHULVWLFV




0PLANT Plant

5HPDUNV

A predefined SAP material type is used as a filter here. Please check whether your company also uses this mate-rial type. If not change it, and save the query and the same workbook.

,QIR&XEH385B&9HQGRU(YDOXDWLRQ

&RQWHQW

This InfoCube contains all the uploaded data from the source system(s) for evaluating the vendor, with regard toon-time delivery performance, quality audit, quantity reliability, shipping notification, shipping instructions, quality ofservice, on-time delivery performance of the service, and the variance of the shipping notification for its deliveries.

,QIR6RXUFH

2LIS_02_S013




&KDUDFWHULVWLFV

,QIR2EMHFW 'HVFULSWLRQ 1DYLJDWLRQ$WWULEXWH DYDLODEOH"


0MATERIAL Material number No No

0PURCH_ORG Purchasing organization No No

0REVERSEDOC Indicates that the data should becancelled/reversed

No No




0PLANT Plant No No

7LPH&KDUDFWHULVWLFV







.H\)LJXUHV


0ONT_DEL_1 Points score 1 for on-time deliveryperformance

Not additive

0ONT_DEL_2 Points score 2 for on-time delivery

performance

Not additive

0QA_SCORE_1 Points score 1 for quality audit Not additive

0QA_SCORE_2 Points score 2 for quality audit Not additive

0QTY_REL_1 Points score 1 for quantity reliability Not additive

0QTY_REL_2 Points score 2 for quantity reliability Not additive

0SHIP_NOT_1 Points score 1 for shipping notifica-tion

Not additive

0SHIP_NOT_2 Points score 2 for shipping notifica-tion

Not additive




0SHP_INS_1 Points score 1 for shipping instruc-tions

Not additive

0SHP_INS_2 Points score 2 for shipping instruc-tions

Not additive

0SRV_QUAL_1 Points score 1 quality service Not additive

0SRV_QUAL_2 Points score 2 quality service Not additive

0SRV_TIME1 Points score 1 for scheduled timeservice

Not additive

0SRV_TIME2 Points score 2 for scheduled timeservice

Not additive

0VAR_SHP_1 Points score 1 variance shippingnotification

Not additive

0VAR_SHP_2 Points score 2 variance shippingnotification

Not additive

8QLWV



If point scores are aggregated, then the average is formed using the vendors as a basis. The exception aggrega-tion does not, therefore, equal zero on the average.

4XHU\385B&B49HQGRU&RPSDULVRQZLWKWKH9HQGRU(YDOXDWLRQ

3XUSRVH

The evaluation analysis displays the points scores from the vendor evaluation for the purchase. With the aid of thisanalysis, you can, for example, follow whether a certain vendor delivers material on-time and in the correct quan-tity.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

0QTY_REL_1 Point score 1 for quantity reliability in the last month

0QTY_REL_2 Point score 2 for quantity reliability cumulated from all periods

0ONT_DEL_1 Point score 1 for on-time delivery performance in the last month

0ONT_DEL_2 Point score 2 for on-time delivery performance cumulated from all periods

0SHP_INS_1 Point score 1 for the shipping instructions in the last month

0SHP_INS_2 Point score 2 for the shipping instructions cumulated from all periods




0SRV_QUAL_1 Point score 1 quality service for the last month

0SRV_QUAL_2 Point score 2 quality service cumulated from all periods

0SRV_TIME1 Point score 1 for schedule time service for the last month

0SRV_TIME2 Point score 2 for schedule time service cumulated from all periods

0QA_SCORE_1 Point score 1 for quality audit in the last month

0QA_SCORE_2 Point score 2 for quality audit cumulated from all periods

0SHIP_NOT_1 Point score 1 Shipping notification for the last month

0SHIP_NOT_2 Point score 2 Shipping notification cumulated from all periods

0VAR_SHP_1 Point score 1 Variance shipping notification for the last month

0VAR_SHP_2 Point score 2 Variance shipping notification cumulated from all periods

)UHH&KDUDFWHULVWLFV


0PLANT Plant

0PURCH_ORG Purchasing organization

0MATERIAL Material


0VENDOR Vendor

,QIR&XEH385B&6XEVHTXHQW6HWWOHPHQW±(YDOXDWLRQ

&RQWHQW

This InfoCube contains all the uploaded data from the source system(s), that are necessary for the settlement ofvendor arrangements (volume rebate processing).

,QIR6RXUFH

2LIS_02_S015

&KDUDFWHULVWLFV



0ACT_GI_DTE Actual goods issue date No No

0AGREEMENT Agreement (group of conditions) No No

0CND_GRANT Condition granter No No




0CONDRECNO Condition record number No No

0MATL_GROUP Material group No No

0PROC_VEND Vendor No No


0PUR_GROUP Purchasing group No No

0REVERSEDOC Indicator No No



0PLANT Plant No No

7LPH&KDUDFWHULVWLFV







.H\)LJXUHV


0CONDRECINC Income from the settlement of thecondition record

0ARR_CURR Additive

0DISS_PCI Dissolved provisioned conditionincome

0ARR_CURR Additive

0POINTS Number of points (subsequent set-tlement) 0POINTSUNIT Additive

0PROV_INC Provisioned condition income 0ARR_CURR Additive

0REBINC_FIS Income final settlement 0ARR_CURR Additive

0VBU_VOLUM Volume (subsequent settlement) 0COND_UNIT Additive

0VBV_A_CURR Vendor business volume (subse-quent settlement)

0ARR_CURR Additive

0VBV_C_CURR Vendor business volume value in

condition currency relevant to set-tlement

0COND_CURR Additive




0VB_GROSSWT Vendor business volume grossweight (subsequent settlement)

0UNIT_OF_WT Additive

0VB_NETWGT Vendor business volume net weight(subsequent settlement)

0UNIT_OF_WT Additive

0VB_QTY Vendor business volume quantity(subsequent settlement)

0COND_UNIT Additive

8QLWV


0UNIT_OF_WT Units of weight Units of measure

0ARR_CURR Arrangement currency Currency

0POINTSUNIT Points unit Units of measure

0COND_UNIT Condition unit of measure in thedocument

Units of measure

0COND_CURR Condition unit (currency) Currency

,QIR&XEH385B&3XUFKDVLQJ*URXSV

&RQWHQW

This InfoCube contains all the uploaded data from the source system(s) for evaluating the purchaser on the basisof his/her purchasing activities. To these belong the number of contracts and their items, the number of requestsfor quotations and their items, the number of offers and their items, the number of scheduling agreements and theiritems, the number of delivery schedules, the number of orders and their items, the number of purchase item orderschedule lines, as well as the effective order value and the invoiced amount.

,QIR6RXUFH

2LIS_02_S011

&KDUDFWHULVWLFV




0PUR_GROUP Purchasing group No No







7LPH&KDUDFWHULVWLFV







.H\)LJXUHV


0CONTRACTS Number of contracts Additive

0CONTR_ITEM Number of contract items Additive

0DELIVERIES Number of deliveries Additive

0DEL_SCHEDS Number of delivery schedules Additive

0INVCD_AMNT Invoiced amount 0LOC_CURRCY Additive

0NO_PUR_ORD Number of purchase orders Additive

0NO_REQ_QUT Number of request quotations Additive

0ORDER_VAL Effective order value 0LOC_CURRCY Additive

0PO_ITEMLNS Number of purchase order itemschedule lines

Additive

0PO_ITEMS Number of purchase order items Additive

0QUOT_ITEMS Number of quotation items Additive

0RFQ_ITEMS Number of request quotation items Additive

0SCHED_AGR Number of scheduled agreements Additive

0SCH_AGR_IT Number of scheduled agreementitems

Additive

8QLWV






4XHU\00385B&B43XUFKDVLQJ*URXS$QDO\VLV

3XUSRVH

The purchasing group analysis shows the distribution of purchasing activities per purchasing group. Using this, thefollowing questions, for example, can be answered: Which order value did a purchasing group process? How manyorder were given to a vendor, and what order value did they come to?

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

0NO_REQ_QUT Number of request quotations

0RFQ_ITEMS Number of request quotation items

0QUOT_ITEMS Number of quotation items

0PO_ITEMLNS Number of purchase order item schedule lines

0PO_ITEMS Number of purchase order items

0NO_PUR_ORD Number of purchase orders

0CONTRACTS Number of contracts

0CONTR_ITEM Number of contract items

0SCHED_AGR Number of scheduled agreements

0DEL_SCHEDS Number of delivery schedules

0SCH_AGR_IT Number of scheduled agreement items

0DELIVERIES Number of deliveries

0ORDER_VAL Effective order value

0INVCD_AMNT Invoiced amount

)UHH&KDUDFWHULVWLFV


0PURCH_ORG Purchasing Organization

0VENDOR Vendor


0PUR_GROUP Purchasing Group




404XDOLW\0DQDJHPHQW

4XDOLW\,QVSHFWLRQ

,QIR&XEH40B&,QVSHFWLRQORWDQGXVDJHGHFLVLRQ

&RQWHQW

This infoCube contains all of the transaction data uploaded from the source system(s) for inspection lots and usagedecisions.

,QIR6RXUFHV

2LIS_05_S290: Transaction data for inspection lot / usage decision

&KDUDFWHULVWLFV



0INSP_LOT__0CUSTOMER Customer Yes No

0INSP_LOT__0INSPTYPE Inspection type Yes No

0INSP_LOT__0MATERIAL Material Yes No

0INSP_LOT__0PLANT Plant Yes No

0INSP_LOT__0PURCH_OR Purchasing organization Yes No

0INSP_LOT__0SALESORG Sales organization Yes No

0INSP_LOT__0SOLD_TO Sold-to party Yes No

0INSP_LOT__0STOR_LOC Storage location Yes No

0INSP_LOT__0VENDOR Vendor Yes No

7LPHFKDUDFWHULVWLFV





0CALQUARTER Calendar year / quarter





.H\ILJXUHV


0ILOTS Number of inspection lots Sum

0ILOTS_ACC Number of accepted inspection lots Sum

0ILOTS_REJ Number of rejected inspection lots Sum

0ILOTS_SKIP Number of skipped lots Sum

0ILOT_QTY Actual lot quantity 0ILOT_UOM Sum

0DEF_QTY Defective quantity in sample 0SAMPLE_UOM Sum

0REJCT_QTY Rejected quantity 0ILOT_UOM Sum

0SKIP_QTY Skipped quantity 0ILOT_UOM Sum

0INSP_QTY Quantity actually inspected 0SAMPLE_UOM Sum

0ACCPT_QTY Accepted quantity 0ILOT_UOM Sum

0FRAC_NONCF Fraction of nonconforming units ininspection lot

Sum

0QUAL_SCORE Quality score Sum

8QLWV


0ILOT_UOM Base unit of measure for the inspec-tion lot quantity

0SAMPLE_UOM Base unit of measure for the sampleunit


To evaluate the cube, you need master data for the inspection lot/usage decision.


The individual lot sizes are not considered in the key figures "fraction of nonconforming units in inspection lot" and"quality score."

4XHU\40B&40B&B40DWHULDODQDO\VLV,QVSHFWLRQORWV

3XUSRVH

This query provides an overview of the number of inspections and lot quantities, as well as the confirmed quality.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Actual lot quantity

Rejected quantity

Number of lots

Number of rejected lots

Share of scrap in lot Total share of scrap. Key figure is hidden.

Share not OK [ppm] Total share of scrap / number of lots

Quality score Total of quality scores. Key figure is hidden.

Quality score Total of quality scores / number of lots

&KDUDFWHULVWLFV


Plant Plant for inspection lot

Inspection type Inspection type

Calendar year / month Period for lot creation

Material Inspected material

4XHU\40B&40B&B49HQGRUDQDO\VLV,QVSHFWLRQORWV

3XUSRVH

This query provides an overview of the number of inspections and the quality scores for the various vendors.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Quality score Total of quality scores. Key figure is hidden.

Quality score Total of quality scores / number of lots

Share of scrap in lot Total share of scrap. Key figure is hidden.

Share not OK [ppm] Total share of scrap / number of lots

Number of lots

Number of rejected lots




&KDUDFWHULVWLFV


Material Geprüftes Material

Plant Werk des Prüfloses

Purchasing organization Purchasing organization for inspection lot

Calendar year / month Period for lot creation

1RWLILFDWLRQV

,QIR&XEH40B&1RWLILFDWLRQV

&RQWHQW

This infoCube contains all of the transaction data uploaded from the source system(s) for notifications.

,QIR6RXUFHV

2LIS_05_S291: Transaction data for notification header


&KDUDFWHULVWLFV



0NOTIFICATN__0ASSEMB Assembly Yes No

0NOTIFICATN__0BATCH Batch Yes No

0NOTIFICATN__0CUSTOM Customer Yes No

0NOTIFICATN__0DISTR_ Distribution channel Yes No

0NOTIFICATN__0DIVISI Division Yes No

0NOTIFICATN__0EQUIPM Equipment number Yes No

0NOTIFICATN__0FUNCT_ Functional location Yes No

0NOTIFICATN__0MAINTL Location Yes No

0NOTIFICATN__0MAINTP Maintenance plant Yes No

0NOTIFICATN__0MAINTR Room Yes No

0NOTIFICATN__0MATERI Material Yes No

0NOTIFICATN__0NFCAT_ Coding Yes No

0NOTIFICATN__0NFCAT_ Code group Yes No




0NOTIFICATN__0NFCAT_ Catalog type Yes No

0NOTIFICATN__0NOT_TY Notification type Yes No

0NOTIFICATN__0PLANPL Maintenance planning plant Yes No

0NOTIFICATN__0PLANT Plant Yes No

0NOTIFICATN__0PLANTS Plant section Yes No

0NOTIFICATN__0PMPLAN Maintenance planner group Yes No

0NOTIFICATN__0PRIORI Priority Yes No

0NOTIFICATN__0SALESO Sales organization Yes No

0NOTIFICATN__0VENDOR Vendor Yes No

7LPHFKDUDFWHULVWLFV







.H\ILJXUHV


0COMPL_QTY Complaint quantity 0ILOT_UOM Sum

0DEFQTY_EXT Defective quantity (external) 0ILOT_UOM Sum

0DEFQTY_INT Defective quantity (internal) 0ILOT_UOM Sum

0NOTIF_TOT Number of notifications Sum

0NTF_INTIME Number of notifications completedwithin schedule

Sum

0RETURN_QTY Returned quantity 0ILOT_UOM Sum

0TASK_OUTST Number of tasks with status "out-standing" or "released"

Sum

0TASK_SUCC Number of tasks with status "suc-cessful"

Sum

0TASK_TOT Number of tasks Sum




0NOTIFOUTST Number of tasks with status "out-standing"

Sum

0NOTIF_PROC Notification processing time Sum

8QLWV


0BASE_UOM Base unit of measure


To evaluate the cube, you need master data for notifications.

The following characteristics are not available for quality notifications:

– Equipment number

– Functional location

– Location

– Maintenance plant

– Room

– Maintenance planning plant

– Plant section

– Maintenance planner group

This cube can contain data from the 4XDOLW\0DQDJHPHQW and 3ODQW0DLQWHQDQFH components. Be sure to considerthis when you define queries for this cube.

These queries should therefore contain a filter for the notification type, so you can analyze the key figures accord-ing to different evaluation requirements (for example, the evaluation of technical objects or evaluations based oncustomer or vendor requirements).

4XHU\ 40B&40B&B4 $QDO\VLV RI QRWLILFDWLRQV 4XDOLW\ 0DQDJHPHQW

3XUSRVH

This query provides an overview of the number of notifications and the affected objects.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Notifications: total Number of existing notifications

Outstanding Number of outstanding notifications

In time Number of notifications completed on schedule




Processing days: total Total of processing times

Average Total of processing times / number of notifications

Tasks: total Number of recorded tasks

Successful Number of successful tasks

Outstanding Number of outstanding tasks

Defective quantity (internal) Defective quantity of notifications (internally caused defects)

Defective quantity (external) Defective quantity of notifications (externally caused defects)

&KDUDFWHULVWLFV


Calendar year / material Period for notification date

Material Material specified in notification

Priority Priority of notification

Customer Customer specified in notification

Vendor Vendor specified in notification

Batch Batch number specified in notification

,QIR&XEH40B&1RWLILFDWLRQLWHPV

&RQWHQW

This InfoCube contains all of the transaction data uploaded from the source system(s) for notification items.

,QIR6RXUFHV

2LIS_05_S292: Transaction data for notification items


&KDUDFWHULVWLFV



1RWLILFDWLRQ


























'HIHFWW\SH

0CATCODE_FE Problem No No

0CATGRP_FE Code group - problems No No

0CATTYPE_FE Catalog type - problems No No

'HIHFWORFDWLRQ

0CATCODE_OT Object part No No

0CATGRP_OT Code group - object part No No

0CATTYPE_OT Catalog type - object part No No

'HIHFWFODVV

0DEFECTCLAS Defect class No No

$VVHPEO\

0ASSEMBLY Item assembly No No




7LPHFKDUDFWHULVWLFV







.H\ILJXUHV


0PROBL_FREQ Problem frequency

0DEFECT_VAL Sum of defect valuations

8QLWV




The following characteristics are not available for quality notifications:

– Equipment number

– Functional location

– Location

– Maintenance plant

– Room

– Maintenance planning plant

– Plant section

– Maintenance planner group


These queries should therefore contain a filter for the notification type, so you can analyze the key figures accord-

ing to different evaluation requirements (for example, the evaluation of technical objects or evaluations based oncustomer or vendor requirements).




4XHU\ 40B&40B&B4 $QDO\VLV RI QRQFRQIRUPLWLHV ± 1RWLILFDWLRQV

3XUSRVH

This query provides an overview and the frequency of the nonconformities (defect codes) recorded in the notifica-

tions and inspection lots.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Problem frequency Confirmed number of nonconformities (including multiple occurrences)

&KDUDFWHULVWLFV


Problem Code for defect type

Object part Code for defect location

Calender year / week Period of notification date


Vendor Vendor specified in notification

Material Material specified in notification

Fehlerklasse Bedeutung des Fehlers




303ODQW0DLQWHQDQFHDQG6HUYLFH

1RWLILFDWLRQV

,QIR&XEH40B&1RWLILFDWLRQV

&RQWHQW

This infoCube contains all of the transaction data uploaded from the source system(s) for notifications.

,QIR6RXUFHV



&KDUDFWHULVWLFV




























7LPHFKDUDFWHULVWLFV







.H\ILJXUHV


0COMPL_QTY Complaint quantity 0ILOT_UOM Sum

0DEFQTY_EXT Defective quantity (external) 0ILOT_UOM Sum

0DEFQTY_INT Defective quantity (internal) 0ILOT_UOM Sum

0NOTIF_TOT Number of notifications Sum

0NTF_INTIME Number of notifications completedwithin schedule

Sum

0RETURN_QTY Returned quantity 0ILOT_UOM Sum

0TASK_OUTST Number of tasks with status "out-standing" or "released" Sum

0TASK_SUCC Number of tasks with status "suc-cessful"

Sum

0TASK_TOT Number of tasks Sum

0NOTIFOUTST Number of tasks with status "out-standing"

Sum

0NOTIF_PROC Notification processing time Sum




8QLWV


0BASE_UOM Base unit of measure



The following characteristics are not available for service and maintenance notifications:

– Complaint quantity

– Defective quantity (external)

– Defective quantity (internal)

– Returned quantity


These queries should therefore contain a filter for the notification type, so you can analyze the key figures accord-ing to different evaluation requirements (for example, the evaluation of technical objects or evaluations based oncustomer or vendor requirements).


4XHU\ 40B&40B&B4 $QDO\VLV RI QRWLILFDWLRQV ± 7HFKQLFDO 2E

MHFWV

3XUSRVH

This query provides an overview of the number of notifications and the affected objects.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Notifications: total Number of existing notifications

Outstanding Number of outstanding notifications

In time Number of notifications completed on schedule

Processing days: total Total of processing times

Average Total of processing times / number of notifications

Tasks: total Number of recorded tasks

Successful Number of successful tasks

Outstanding Number of outstanding tasks




&KDUDFWHULVWLFV


Calendar year / month Period for notification date

Priority Priority of notification


Maintenance planner group

Functional location Number or description of affected functional location

Equipment number Number or description of affected equipment

Maintenance plant

Location

Material Material der Meldung

,QIR&XEH40B&1RWLILFDWLRQLWHPV

&RQWHQW

This infoCube contains all of the transaction data uploaded from the source system(s) for notification items.

,QIR6RXUFH



&KDUDFWHULVWLFV



1RWLILFDWLRQ


























'HIHFWW\SH

0CATCODE_FE Problem No No

0CATGRP_FE Code group - problems No No

0CATTYPE_FE Catalog type - problems No No

'HIHFWORFDWLRQ

0CATCODE_OT Object part No No

0CATGRP_OT Code group - object part No No

0CATTYPE_OT Catalog type - object part No No

'HIHFWFODVV

0DEFECTCLAS Defect class No No

$VVHPEO\

0ASSEMBLY Item assembly No No

7LPHFKDUDFWHULVWLFV










.H\ILJXUHV


0PROBL_FREQ Problem frequency

0DEFECT_VAL Sum of defect valuations

8QLWV




The following characteristics are not available for service and maintenance notifications:

– Complaint quantity

– Defective quantity (external)

– Defective quantity (internal)

– Returned quantity


These queries should therefore contain a filter for the notification type, so you can analyze the key figures accord-ing to different evaluation requirements (for example, the evaluation of technical objects or evaluations based on

customer or vendor requirements).


4XHU\40B&40B&B4$QDO\VLVRIGDPDJHFRGHV±1RWLILFDWLRQV

3XUSRVH

This query provides an overview and the frequencies of the damage codes recorded in notifications.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Problem frequency Confirmed damage codes (including multiple occurrences)

&KDUDFWHULVWLFV


Problem Damage code

Object part Code for affected object part

Calendar year / week Period for notification date


Maintenance planning plant

Maintenance planner group

Plant section

Functional location Number or description of affected functional location

Equipment number Number or description of affected equipment

Item assembly

Maintenance plant

Location

3URGXFWLRQ3ODQQLQJDQG&RQWUROO

3URFHVVDQG3URGXFWLRQ2UGHUV

In the following text, production orders are always talked of. The same, however, also always applies for processorders: Production and process orders are merely differentiated in BW by order category in the master data, andare otherwise always treated identically.

,QIR&XEH33B& 3ODQ$FWXDO &RPSDULVRQ 2UGHU 0DWHULDO9LHZ

&RQWHQW

This InfoCube contains all the transaction data of the production process related to the order header and item, thatis uploaded by the source system(s). The process is formed from the conversion of the plan order into a productionorder using release, start and reply, up to the delivery. The data is mapped to the actual release date to enable aplan/actual comparison. In addition, plan and actual data is only stored if actual data exists as otherwise the most

frequent comparisons plan/actual and target/actual will not produce good results.




,QIR6RXUFH

2LIS_04_S280: Order header and item, BW

&KDUDFWHULVWLFV


0DOC_NUMBER Sales document No No


0ORDERITEM Number of the order item No No

0PLANT Plant No No

0PRODORDER Order number (Production order) Yes No

0P_PLANT Planning plant No No

0MAT_PLANT Material number with plant Yes No

7LPHFKDUDFWHULVWLFV




0CALQUARTER Calendar Year / Quarter


.H\ILJXUHV


0ACTDELDATK Actual delivery / finish date Additive

0ACTEXECTM Actual execution time 0WM_UOT Additive

0ACTFINISHK Returned order completion Additive

0ACTLEADTM Actual lead time 0WM_UOT Additive

0ACTRELDATK Actual release date Additive

0ACTSTARTDK Actual start date Additive

0ACTUALSRAP Actual scrap 0BASE_UOM Additive

0BASICSTARK Order start date Additive

0CAPREQMTS Target capacity requirement sum 0CAPA_UNIT Additive




0FINISHDATK Order finish date Additive

0GR_QTY Quant. of goods received 0BASE_UOM Additive

0ITEMQTY Quant. of items 0BASE_UOM Additive

0ITEMSCRAP Scrap quantity 0BASE_UOM Additive

0PA_DELDEV Delivery date variation plan / actual 0WM_UOT Additive

0PA_DELDEVN Delivery date variation plan / actualnegative

0WM_UOT Additive

0PA_DELDEVP Delivery date variation plan / actualpositive

0WM_UOT Additive

0PA_RELDEV Release delivery date variation plan / actual

0WM_UOT Additive

0PA_RELDEVN Release delivery date variation plan / actual negative

0WM_UOT Additive

0PA_RELDEVP Release delivery date variation plan / actual positive

0WM_UOT Additive

0PA_STARDVN Start schedule variation plan / actualnegative

0WM_UOT Additive

0PA_STARDVP Start schedule variation plan / actualpositive

0WM_UOT Additive

0PA_STARTDV Start schedule variation plan / actual 0WM_UOT Additive

0PLANLEADTM Plan lead time 0WM_UOT Additive

0PLANORDQTY Order quantity 0BASE_UOM Additive

0PLDDELDATK Del. date plan Additive

0PLDOPENDTK Plan order opening date Additive

0PLDRELDATK Plan release date Additive

0PLDSTARTDK Plan order start date Additive

0PT_DELDEV Delivery date variation plan / target 0WM_UOT Additive

0PT_DELDEVN Delivery date variation plan / targetnegative

0WM_UOT Additive

0PT_RELDEVP Release date variation plan / targetpositive

0WM_UOT Additive

0PT_STARDVN Start date variation plan / targetnegative

0WM_UOT Additive

0PT_STARDVP Start date variation plan / targetpositive

0WM_UOT Additive




0PT_STARTDV Start date variation plan / target 0WM_UOT Additive

0SCHEDFINDK scheduled finish Additive

0SCHEDRELDK scheduled release date Additive

0SCHEDSTARK scheduled start Additive

0SCRAPQTY Scrap quantity 0BASE_UOM Additive

0TA_DELDEV scheduled delivery date target / ac-tual

0WM_UOT Additive

0TA_DELDEVN scheduled delivery date target / ac-tual negative

0WM_UOT Additive

0TA_DELDEVP scheduled delivery date target / ac-tual positive

0WM_UOT Additive

0TA_RELDEV Release date variation target / actual 0WM_UOT Additive

0TA_RELDEVN Release date variation target / actualnegative

0WM_UOT Additive

0TA_RELDEVP Release date variation target / actualpositive

0WM_UOT Additive

0TA_STARDVN Start date variation target / actualnegative

0WM_UOT Additive

0TA_STARDVP Start date variation target / actual

positive

0WM_UOT Additive

0TA_STARTDV Start date variation target / actual 0WM_UOT Additive

0TGTEXECTM Target execution time 0WM_UOT Additive

0TGTLEADTM Target lead time 0WM_UOT Additive

0NO_PRODORD No. of prod. orders Additive

8QLW


0WM_UOT WM time unit Units of measure

0BASE_UOM base unit of measure Units of measure

0CAPA_UNIT Capacity unit requirement Units of measure


The date key figures (for example, 0ACTSTARTDK – actual start date) only make sense on the lowest level. Theyare additive so that changes can be correctly updated.

Recommendation: Create an aggregate using the characteristics plant, material and month. The performance willbe significantly improved.





0CALDAY – Calendar day is filled in the update rules using the actual release date. The other time characteristicsare determined using an automatic time conversion.

4XHULHV

All durations are displayed as average per order all quantities as sums.

4XHU\33B&B46FKHGXOHDQG6FUDS'HYLDWLRQ2UGHU9LHZ

3XUSRVH

This query compares target and actual schedule deviations of the order release, production start and delivery tolead time deviation making it possible to determine which schedule deviation is most responsible for the lead timedeviation.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

T/A deviation in release date Target/actual deviation in scheduled release date

T/A deviation in start date Target/actual deviation in scheduled start date

T/A deviation in delivery date Target/actual deviation in scheduled delivery date

Target/actual lead time de-viation

Target lead time

Actual lead time

)UHH&KDUDFWHULVWLFV


0PLANT Plant, Variable &0S_PLANT&, First Line

0PRODORDER__0MRP_CONTRL MRP Controller, Variable &0S_PDISP&

0MATERIAL Material Number, Variable &0S_MAT&

0PRODORDER Order Number (Production order)

0CALMONTH Calendar Year / Month, Variable &0I_CALMO&





4XHU\33B&B46FKHGXOH6FUDS'HYLDWLRQ2UGHU9LHZ

3XUSRVH

This query compares target and actual schedule deviations of order release, production start and delivery to thescrap deviation making it possible to determine which schedule deviation is most responsible for the scrap devia-tion.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

T/A deviation in release date Target/actual deviation in scheduled release date

T/A deviation in start date Target/actual deviation in scheduled start date

T/A deviation in delivery date Target/actual deviation in scheduled delivery date

Scrap deviation Scrap deviation

Scrap quantity Scrap item quantity

Actual scrap Actual scrap

)UHH&KDUDFWHULVWLFV

See query 0PP_C01_Q001

4XHU\33B&B47RWDO6FKHGXOH'HYLDWLRQ2UGHU9LHZ

3XUSRVH

This query compares schedule deviations of order release, production start and delivery in order to determine howwell production was planned.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Total release date deviation Maximum time between planned/target/actual deviation in release date

Total start date deviation Maximum time between planned/target/actual deviation in start date

Total delivery date deviation Maximum time between planned/target/actual deviation in delivery date

)UHH&KDUDFWHULVWLFV


4XHU\33B&B4'HWDLOHG2UGHU5HOHDVH'HYLDWLRQV

3XUSRVH

This query provides a detailed view of order release deviations.




6WUXFWXUHV

.H\)LJXUH 5HPDUNV


Neg. P/T release date dev. Negative planned/target release date deviation

Pos. P/T release date dev. Positive planned/target release date deviation

Neg. T/A release date dev. Negative target/actual release date deviation

Pos. T/A release date dev. Positive target/actual release date deviation

Neg. P/A release date Negative planned/actual release date deviation

Pos. P/A release date Positive planned/actual release date deviation

)UHH&KDUDFWHULVWLFV


4XHU\33B&B4'HWDLOHG2UGHU6WDUW'DWH'HYLDWLRQV

3XUSRVH

This query provides a detailed view of order start date deviations.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV


Neg. P/T start date dev. Negative planned/target start date deviation

Pos. P/T start date dev. Positive planned/target start date deviation

Neg. T/A start date dev. Negative target/actual start date deviation

Pos. T/A start date dev. Positive target/actual start date deviation

Neg. P/A start date Negative planned/actual start date deviation

Pos. P/A start date Positive planned/actual start date deviation

)UHH&KDUDFWHULVWLFV





4XHU\33B&B4'HWDLOHG2UGHU'HOLYHU\'DWH'HYLDWLRQV

3XUSRVH

This query provides a detailed view of order delivery date deviations.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV


Neg. P/T delivery date dev. Negative planned/target delivery date deviation

Pos. P/T delivery date dev. Positive planned/target delivery date deviation

Neg. T/A delivery date dev. Negative target/actual delivery date deviation

Pos. T/A delivery date dev. Positive target/actual delivery date deviation

Neg. P/A delivery date Negative planned/actual delivery date deviation

Pos. P/A delivery date Positive planned/actual delivery date deviation

)UHH&KDUDFWHULVWLFV


4XHU\33B&B47RWDO6FKHGXOH/HDGWLPH'HYLDWLRQ2UGHU9LHZ

3XUSRVH

This query compares schedule deviations of order release, start and delivery dates and determines which causedthe greatest lead time deviation. It also provides information on how well production is being planned.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV




T/A lead time deviation Target/actual lead time deviation

Target lead time

Actual lead time

)UHH&KDUDFWHULVWLFV





4XHU\33B&B44XDQWLW\6FUDS/HDGWLPH'HYLDWLRQ2UGHU9LHZ

3XUSRVH

This query compares quantity, scrap and lead time deviations.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Item quantity Item quantity order

Quantity of goods received Quantity of goods received

Scrap deviation Scrap deviation

T/A lead time dev. Target/actual lead time deviation

)UHH&KDUDFWHULVWLFV


4XHU\33B&B41HJDWLYH3RVLWLYH6FKHGXOH'HYLDWLRQ2UGHU9LHZ

3XUSRVH

This query compares negative and positive schedule deviations of order release, start and delivery and providesinformation on how well production is being planned.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Neg. scheduled release dev. Negative share of scheduled release date deviation (%)

Pos. scheduled release dev. Positive share of scheduled release date deviation (%)

Neg. start dev. Negative share of scheduled start date deviation (%)

Pos. start dev. Positive share of scheduled start date deviation (%)

Neg. delivery dev. Negative share of scheduled delivery date deviation (%)

Pos. delivery dev. Positive share of scheduled delivery date deviation (%)

T/A lead time dev. Target/actual lead time deviation

)UHH&KDUDFWHULVWLFV





4XHU\33B&B42UGHU4XDQWLW\

3XUSRVH

This query displays all quantity-related key figures.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Order quantity Total planned order quantity

Order item Order item quantity

Goods received Quantity of goods received

Scrap quantity Fixed quantity of scrap

Scrap quantity Quantity of scrap from order item

Actual scrap Quantity of actual scrap

No. Prod. orders Number of production orders

)UHH&KDUDFWHULVWLFV


4XHU\33B&B43URGXFWLRQ/HDG7LPH

3XUSRVH

This query evaluates the production time frame of an order, taking the factory calendar into consideration.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV

Actual lead time Actual lead time

Actual exec. time Actual execution time

% Exec/lead time Execution time / lead time %

Target lead time Target lead time

T/A lead time dev. % Target/actual lead time deviation %

4XHU\33B&B46FKHGXOHG$FKLHYHPHQW

3XUSRVH

This query compares the scheduled achievement of the production plan in terms of quantity.




6WUXFWXUHV

.H\)LJXUH 5HPDUNV


Planned goods received Planned quantity of goods received minus scrap

Quantity reliability Quantity reliability in %: Quantity of goods received minus planned quantity

)UHH&KDUDFWHULVWLFV


,QIR&XEH33B&7RWKHSHULRGRUGHUPDWHULDOYLHZ

&RQWHQWV

This InfoCube contains all of the production process transaction data related to order header and order item, up-loaded from the source system(s). The process is mapped from the order start, via the reply, to the delivery. Onlyactual data is displayed. However, as this should not be compared with plan data it can be mapped exactly to theperiod, provided the OLTP allows this. The InfoCube is suitable for ‚to-the-period‘ quantity observations.

,QIR6RXUFH

2LIS_04_S280: Order header and item, BW

&KDUDFWHULVWLFV





0ORDERITEM Order item number No No

0PLANT Plant No No




7LPHFKDUDFWHULVWLFV



0CALMONTH Calendar year / Month

0CALQUARTER Calendar year / Quarter




0CALWEEK Calendar year / Week

.H\ILJXUHV




0ACTUALSRAP Actual scrap quantity 0BASE_UOM Additive

0GR_QTY Quant. of goods received 0BASE_UOM Additive

8QLW


0WM_UOT WM-Time unit Units of measure

0BASE_UOM Base unit of measure Units of measure




The time characteristics 0CALMONTH, 0CALQUARTER and 0CALWEEK are determined via an automatic timeconversion.

4XHU\33B&B44XDQWLW\RI*RRGV5HFHLYHGDQG6FUDS

3XUSRVH

This query displays exact periods for quantity of goods received and actual scrap quantities.

6WUXFWXUHV

.H\)LJXUH 5HPDUNV


Actual scrap Quantity of actual scrap

Scrap % Actual scrap quantity /quantity of goods received

)UHH&KDUDFWHULVWLFV





,QIR&XEH 33B&3ODQ DFWXDOFRPSDULVRQ SURFHGXUHZRUNFHQWHU

&RQWHQWV

This InfoCube contains all of the production process transaction data related to order operations, uploaded fromthe source system(s). The process is mapped from the creation of a production order, via the release and start, tothe reply. The data is mapped to the actual release date to enable deadline comparisons. In addition, target datesare only stored if replies exist as otherwise the comparisons will not provide good results.The InfoCube also contains standard available capacities from the individual work centers. Capacity evaluation is,therefore, enabled.

,QIR6RXUFH

2LIS_04_S281: order operation, BW

0PP_WCCP: PP(PI) Work center capacity

&KDUDFWHULVWLFV





0OPERATION Operation number No No

0PLANT Plant No No



0S_OPERAT Sub-operation No No

0WORKCENTER Work center Yes No

7LPHFKDUDFWHULVWLFV









.H\ILJXUHV




0ACT_FIN_EK Actual finish time: Execute (date) Additive

0ACT_FIN_OK Actual finish time operation (date) Additive

0ACT_INPUTK Actual input (date) Additive

0ACT_STARTK Actual start time: Execute (date) Additive

0CONFRM_QTY Confirmed quantity 0OPER_UNIT Additive

0CONF_SCRAP Confirmed scrap 0OPER_UNIT Additive

0DEL_LOT_SZ Delivered lot size 0OPER_UNIT Additive

0EARLSCHDTK Earliest scheduled start time: Exe-cute (date)

Additive

0EARL_FINK Earliest scheduled finish time: Exe-cute (date)

Additive

0INPUTDEV Input schedule deviation 0WM_UOT Additive

0INPUTDEVN Input schedule deviation negative 0WM_UOT Additive

0INPUTDEVP Input schedule deviation positive 0WM_UOT Additive

0LATESTSTRK Latest scheduled start time: Execute(date)

Additive

0LATEST_FIK Latest scheduled finish time: Exe-cute (date)

Additive

0MOVE_TIME Transport time was moved 0MOVET_UNIT Additive

0OPER_QTY Operation quantity 0OPER_UNIT Additive

0OPER_STARK Actual operation start (date) Additive

0OUTPUTDEV Output schedule deviation 0WM_UOT Additive

0OUTPUTDEVN Output schedule deviation negative 0WM_UOT Additive

0OUTPUTDEVP Output schedule deviation positive 0WM_UOT Additive

0PROC_TIME Processing time 0PROC_UNIT Additive

0QUEUE_TIME Queue time scheduled 0QTIME_UNIT Additive

0RELSCHDEV Relative schedule deviation 0WM_UOT Additive




0RELSCHDEVN Relative schedule deviation negative 0WM_UOT Additive

0RELSCHDEVP Relative schedule deviation positive 0WM_UOT Additive

0SETUP_TIME Set up time 0SETUP_UNIT Additive

0SRAP_QTY Scrap quantity 0OPER_UNIT Additive

0TEARDOWN Tear down 0TEARD_UNIT Additive

0TGTEXECTM Target execution time 0WM_UOT Additive

0TGTLEADTM Target lead time 0WM_UOT Additive

0TGTPROCCAP Process target capacity requirementfor operation segment

0CAPA_UNIT Additive

0TGTSETPCAP Set up target capacity requirementfor operation segment

0CAPA_UNIT Additive

0TGTTEARCAP Tear down target capacity require-ment for operation segment

0CAPA_UNIT Additive

0TGT_INPUTK Latest target input (date) Additive

0WAIT_TIME Wait time scheduled 0QTIME_UNIT Additive

0STANDCAP Available capacity Additive

0USINGTIME Using time of the capacity Additive

0NO_PRODORD Number of prod. orders Additive

8QLW


0WM_UOT WM-Time unit Units of measure

0OPER_UNIT Operation units Units of measure

0MOVET_UNIT Move time unit Units of measure

0PROC_UNIT Processing time unit Units of measure

0QTIME_UNIT Queue time unit Units of measure

0SETUP_UNIT Set up time unit Units of measure

0TEARD_UNIT Tear down time unit Units of measure


0WAITT_UNIT Wait time unit Units of measure





The date key figures (for example, 0ACT_INPUTK – actual inflow) only make sense on the lowest level. They areadditive, so that changes are correctly updated.


When filling the InfoCube from InfoSource 0PP_WCCP you should note that, without the data on a time interval,only the capacity data of the current day is loaded.


0CALDAY – Calendar day is filled using the actual release date in the update rules. The other time characteristicsare determined using an automatic time conversion.

4XHULHV

All durations are displayed as average per order, all quantities as sums.

4XHU\33B&B4([HFXWLRQWLPHDQGVFUDSYDULDQFH:RUNFHQWHUYLHZ

3XUSRVH

This query compares the relative execution time and scrap variance. Therefore, you can check whether executiontime variances influence scrap.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Execution time dev. % Execution time deviation in %

Scrap dev. % Scrap deviation in %

Target exec. Time Target execution time

Act. exec. time Actual execution time

Scrap quantity Scrap quantity operation

Conf. scrap Total confirmed scrap

)UHH&KDUDFWHULVWLFV


0PLANT Plant, Variable &0S_PLANT&, first line

0WORKCENTER__0WRKCT _RESP

Person responsible

0WORKCENTER Work center, Variable &0S_WORKC&

0MATERIAL Material number, Variable &0S_MAT&





0OPERATION Operation number

0S_OPERAT Sub-operation number

0CALMONTH Calendar year / Month, Variable &0I_CALMO&


4XHU\33B&B4/HDGWLPHDQGUHODWLYHVFKHGXOHGHYLDWLRQ:RUNFHQWHU

3XUSRVH

This query compares lead time variances with schedule deviations.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Target lead time Target lead time

Act. lead time Actual lead time

Lead. time dev. Lead time deviation

Rel. sched. dev. neg. Relative schedule deviation, negative proportion

Rel. sched. dev. pos. Relative schedule deviation, positive proportion

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4XHU\33B&B42SHUDWLRQWLPHVGHWDLOHG

3XUSRVH

This query displays the (target) operation segments. The operation quantities and the number of production ordersare also given for better arrangement.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Queue time

Setup time

Processing time Processing time

Tear down




Wait time

Move time

Operation quantity

Number of prod. orders Number of production orders

)UHH&KDUDFWHULVWLFV


4XHU\33B&B42SHUDWLRQWLPHV

3XUSRVH

This query displays the (target) operation segments, summarized in hours and compares them with execution times

and lead times in days.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Execution time segments Total of the individual execution time segments

Operation segments Total of the individual operation segments

Targ. exec. time Target execution time

Targ. Lead time Target lead time

Operation quantity

No. prod. orders Number of production orders

)UHH&KDUDFWHULVWLFV


4XHU\33B&B46FKHGXOHGHYLDWLRQV:RUNFHQWHUYLHZ

3XUSRVH

This query examines to what extent schedule deviations with an inflow to a work center influence schedule devia-tions with an outflow from this work center.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Input schedule dev. Input schedule deviation

Input schedule dev. neg. Input schedule dev. negative proportion

Input schedule dev. pos. Input schedule dev. positive proportion




Output sched. dev. Output schedule deviation

Output sched. dev. neg. Output schedule deviation negative proportion

Output sched. dev. pos. Output schedule deviation positive proportion

)UHHFKDUDFWHULVWLFV


4XHU\33B&B46FKHGXOHDQGTXDQWLW\GHYLDWLRQV:RUNFHQWHUYLHZ

3XUSRVH

This query examines to what extent schedule deviations influence quantity and scrap deviance in the work center.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Input schedule dev. neg. Input schedule dev. negative proportion

Input schedule dev. pos. Input schedule dev. positive proportion

Output sched. dev. neg. Output schedule deviation negative proportion

Output sched. dev. pos. Output schedule deviation positive proportion

Rel. Sched. dev. Relative schedule deviation

Quantity dev. % Quantity deviation in %

Scrap dev. % Scrap deviation in %

)UHH&KDUDFWHULVWLFV


4XHU\33B&B4&DSDFLW\ORDGXWLOL]DWLRQ

3XUSRVH

This query displays the capacity load utilization of a work center. However, you should note that a capacity re-quirement generated by an operation is not distributed across several days. Therefore, the query should be calledup for longer periods of time, as the edge of the selection period can contain inaccuracies.The available capacity is available per work center. This should be noted when drilling down on orders and opera-tions.Contrary to query 33B&B4 the actual release date is used as the date of the capacity requirement of anoperation instead of the date of the first reply. The query 33B&B4is normally the more suitable for evalua-tion purposes, especially if the actual release date differs greatly form the reply date.




6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Capacity require. Capacity requirements

Available capacity Available capacity

Capacity load util. Capacity load utilization

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4XHU\33B&B42SHUDWLRQTXDQWLWLHV

3XUSRVH

This query displays all quantity key figures for an operation.

6WUXFWXUHV

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Operation quantity

Del. lot size Entire lot size delivered

Confirm. quantity Entire lot size confirmed

Scrap quantity Scrap quantity operation

Confirm. scrap Entire scrap confirmed scrap

No. prod. orders Number of production orders

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,QIR&XEH33B&7RWKHSHULRGRSHUDWLRQZRUNFHQWHU YLHZ

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This InfoCube contains all of the transaction data of the production process uploaded from the source system,based on order operations. The process is mapped from the order start to the reply. Only actual data is displayed.However, as this should not be compared with target data, it can be mapped ‚to-the-period‘ if the OLTP system iscapable of this. The InfoCube is most suitable for to-the-period quantity evaluations.

,QIR6RXUFH

2LIS_04_S281: Order operation, BW

0PP_WCCP: PP(PI) Work center capacity




&KDUDFWHULVWLFV






0PLANT Plant No No



0S_OPERAT Sub-operation No No

0WORKCENTER Work center Yes No

7LPHFKDUDFWHULVWLFV






.H\ILJXUHV




0CONFRM_QTY Confirmed quantity 0OPER_UNIT Additive

0CONF_SCRAP Confirmed scrap 0OPER_UNIT Additive

0DEL_LOT_SZ Delivered lot size 0OPER_UNIT Additive

0TGTPROCCAP Process target capacity require-ments for operation segment

0CAPA_UNIT Additive

0TGTSETPCAP Set up target capacity requirementsfor operation segment

0CAPA_UNIT Additive

0TGTTEARCAP Tear down target capacity require-

ments for operation segment

0CAPA_UNIT Additive

0STANDCAP Available capacity Additive




0USINGTIME Using time of the capacity Additive

8QLW


0WM_UOT WM time unit Units of measure

0OPER_UNIT Operation units of measure Units of measure



Recommendation: Create an aggregate using the characteristics plant, material, work center and month. The per-formance will be significantly improved.

When filling the InfoCube from InfoSource 0PP_WCCP you should note that, without data on a time interval, onlythe capacity for the current day is loaded.


Time characteristics 0CALMONTH, 0CALQUARTER and 0CALWEEK are determined from an automatic time con-version from 0CALDAY.

4XHULHV

All durations are displayed as average per order, all quantities as sums.

4XHU\33B&B4&DSDFLW\ORDGXWLOL]DWLRQ

3XUSRVH

This query displays the capacity load utilization of a work center. However, you should note that a capacity re-quirement generated by an operation is not distributed across several days. Therefore, the query should be calledup for longer periods of time, as the edge of the selection period can contain inaccuracies.The available capacity is available per work center. This should be noted when drilling down on orders and opera-tions.Contrary to query 33B&B4 the first reply date of an operation is used as the date of the capacity require-ment of an operation instead of the actual release date.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Capacity require. Capacity requirements

Available capacity Available capacity

Capacity load util. Capacity load utilization




)UHH&KDUDFWHULVWLFV



0WORKCENTER__0WRKCT

_RESP

Person responsible

0WORKCENTER Work center, Variable &0S_WORKC&



0OPERATION Operation number

0S_OPERAT Sub-operation number



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4XHU\33B&B4$FWXDOTXDQWLWLHVLQWKHZRUNFHQWHU

3XUSRVH

This query displays the delivered lot sizes, the returned quantities and the returned scrap, to the period.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Del. lot size Delivered lot size

Confirm.quant. Confirmed quantity

Conf. scrap Total scrap confirmed

Scrap % Scrap in %

)UHH&KDUDFWHULVWLFV





,QIR&XEH 33B& 3ODQ DFWXDO FRPSDULVRQ PDWHULDOFRQVXPSWLRQ

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This InfoCube contains all of the material consumptions of the production process uploaded from the source sys-tem. The data is mapped to the actual release to enable a plan / actual comparison. In addition, data is not storeduntil a good issue, a reply or a goods receipt for a production order is posted.

,QIR6RXUFH

2LIS_04_S282: Order component, BW

&KDUDFWHULVWLFV



0COMPONENT BOM components Yes No




0PLANT Plant No No



7LPHFKDUDFWHULVWLFV






.H\ILJXUHV


0REQMTSQTY Required quantity 0BASE_UOM Additive

0WITHDRWQTY Withdrawn quantity 0BASE_UOM Additive

0WITHDRWVAL Withdrawn value 0CURRENCY Additive




8QLW





Recommendation: Create an aggregate using the characteristics plant, material, component and month. The per-formance will be significantly improved.


0CALDAY – Calendar day is filled in the update rules using the actual release date. The other time characteristicsare determined using an automatic time conversion.

4XHU\33B&B40DWHULDOFRQVXPSWLRQWDUJHWDFWXDO

3XUSRVH

This query displays the requirements and the withdrawn quantities including their values of the material compo-nents.

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.H\ILJXUH &RPPHQWV

Requirement quantity

Withdrawn quantity

Withdrawn value

Quantity dev. Quantity deviation

Quantity dev. % Quantity deviation in %

)UHHFKDUDFWHULVWLFV



0PRODORDER__0MRP_CONTRL

MRP controller, Variable &0S_PDISP&


0COMPONENT BOM components







,QIR&XEH33B&7RWKH3HULRG0DWHULDO&RQVXPSWLRQ

&RQWHQWV

This InfoCube contains all of the material consumptions of the production process uploaded from the source sys-tem. Only actual data is displayed. However, as this should not be compared with target data, it can be mapped ‚to-the-period‘ if the OLTP system is capable of this. The InfoCube is most suitable for to-the-period quantity evalua-tions.

,QIR6RXUFH

2LIS_04_S282: Order components, BW

&KDUDFWHULVWLFV







0PLANT Plant No No



7LPHFKDUDFWHULVWLFV






.H\ILJXUHV







8QLW





Recommendation: Create an aggregate using the characteristics plant, material, component and month. The per-formance will be significantly improved.



4XHU\33B&B40DWHULDOFRQVXPSWLRQ

3XUSRVH

This query displays the withdrawn quantities and their values of the material components from production orders, tothe period.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Withdrawn quantity

Withdrawn value

)UHHFKDUDFWHULVWLFV



0PRODORDER__0MRP_CONTRL

MRP controller, Variable &0S_PDISP&


0COMPONENT BOM components







5HSHWLWLYHPDQXIDFWXULQJ

,QIR&XEH 33B& 5HSHWLWLYH PDQXIDFWXULQJ *RRGV UHFHLSWV

&RQWHQWV

This InfoCube contains all of the transaction data on goods receipt and actual scrap from repetitive production up-loaded from the source system.

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2LIS_04_S284: Goods receipts repetitive production, BW

&KDUDFWHULVWLFV




0PLANT Plant No No

0PRODVERS Production version Yes No


7LPHFKDUDFWHULVWLFV






.H\ILJXUHV


0ACTUALSRAP Actual scrap quantity 0BASE_UOM Additive

0GR_QTY Goods receipt quantity 0BASE_UOM Additive

8QLW


0BASE_UOM Base unit of measure Unit of meas-urement





Recommendation: Create an aggregate using the characteristics plant, material, material with plant, productionversion and month. The performance will be significantly improved.



*RRGVUHFHLSWV5HSHWLWLYHPDQXIDFWXULQJ

4XHU\33B&B4*RRGVUHFHLSWV5HSHWLWLYHPDQXIDFWXULQJ

3XUSRVH

This query displays the goods receipt quantities and actual scrap quantity for a production version per plant, youcan drilldown according to material and day.

6WUXFWXUHV

.H\ILJXUH &RPPHQWV

Goods receipt quantity

Actual scrap quantity

Scrap % Actual scrap quantity / Goods receipt quantity in %

)UHHFKDUDFWHULVWLFV



0MAT_PLANT__0MRP_CONTRL

MRP controller, Variable &0M_PDISP&


0PRODVERS Production version

0PRODVERS__0AGGRPV1 Planning ID 1








,QIR&XEH 33B& 5HSHWLWLYH PDQXIDFWXULQJ 0DWHULDOFRQVXPSWLRQ

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This InfoCube contains all of the transaction data on material consumption from repetitive production uploadedfrom the source system.

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2LIS_04_S285: Material consumption repetitive prod., BW

&KDUDFWHULVWLFV




0PLANT Plant No No

0PRODVERS Production version Yes No



7LPHFKDUDFWHULVWLFV






.H\ILJXUHV


EHKDYLRU

0REQMTSQTY Required quantity 0BASE_UOM Additive



8QLW








Recommendation: Create an aggregate using the characteristics plant, material, material with plant, component,production version and month. The performance will be significantly improved.



4XHU\33B&B40DWHULDOFRQVXPSWLRQ5HSHWLWLYHSURGXFWLRQ

3XUSRVH

This query serves to compare the withdrawn quantities of a production version with the requirement quantities. Inaddition, the absolute and relative variation of the quantities and values is calculated.

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.H\ILJXUH &RPPHQWV

Required quantity

Withdrawn quantity

Withdrawn value

Quantity dev. Quantity deviation

Quantity dev. in % Quantity deviation in %

)UHH&KDUDFWHULVWLFV



0MAT_PLANT__0MRP_CONTRL

MRP controller, Variable &0S_MDISP&


0COMPONENT Component

0PRODVERS Production version









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0RELOH6DOHV

,PSRUWDQW1RWH

The workbooks for Mobile Sales show exemplary analysis options. They contain their own functions in the form ofVisual Basic Macros. The customer can transfer them into his/her enterprise-specific Content, or use parts of themas a basis for his/her own workbooks. It is just these functions of the Visual Basic Macros that make it easier to usethe workbooks, with features such as navigation options and so on. With the demo workbooks, the process ofmaking information available to decision support can be speeded up, and Visual Basic functions can be used forimproving individual workbooks. The result is an acceleration in the implementation process and an increase in thequality of the workbooks.

When activated, the demo workbooks then become the customers’ responsibility. This means that changes in theMacro programming cannot be maintained by SAP. The workbooks demonstrate additional options for analysis and

presentation, but they are not meant for productive use.

$FWLYLWLHV

,QIR&XEH06$B&$FWLYLWLHV&XVWRPHU3URGXFW

&RQWHQW

This InfoCube contains data of the activity reporting and customer order. Due to this fact it will be possible to an-swer questions in regard to activities on the one hand and in regard to revenues on the other hand (but also in-

quiries etc.) E.g.: In which way did placed samples influence the revenue of last year?

,QIR6RXUFHV

0MSA_GN_FCT Activity reporting2LIS_01_S260 SD - Customer order

&KDUDFWHULVWLFV



0MATERIAL Material number 0MATERIAL__0MATL_GRO0MATERIAL__0MATL_TYP

No




0CUSTOMER Customer number 0CUSTOMER__0COUNTRY0CUSTOMER__0CUST_CLA0CUSTOMER__0CUST_MKT0CUSTOMER__0IN

DUSTRY0CUSTOMER__0KEYACCOU0CUSTOMER__0NIELSEN_ 0CUSTOMER__0OUTL_TYP0CUSTOMER__0REGION

No

0SALESORG Sales organization No No




0VTYPE Value type No No


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0CALYEAR Calendar year/month


.H\ILJXUHV

,QIR2EMHFW 'HVFULSWLRQ 8QLWV,QIR2EMHFW $JJUHJDWLRQFRQGXFW

0NET_VALUE Net value of order position in sales docu-ment currency

0DOC_CURRCY SUM

0ORDER_QTY Order quantity of the customer in VME 0SALES_UNIT SUM

0NET_WT_AP Net weight of the position 0UNIT_OF_WT SUM

0ACTN_PRIC Action selling price 0CURRENCY SUM

0ORDERS Number of orders SUM

0ORD_ITEMS Number of order positions SUM

0COST Invoice value in sales document’s cur-rency

0DOC_CURRCY SUM




0TARGET_QTY Target quantity in sales units 0SALES_UNIT SUM

0TARG_VALUE Target value of outline agreements insales document currency

0DOC_CURRCY SUM

0NO_SAMPLE Number of samples SUM

0REAL_PRIC Selling price realized 0CURRENCY SUM

8QLWV


0DOC_CURRCY Currency of Sales Document Currency

0SALES_UNIT Sales units Unit of measure

0UNIT_OF_WT Unit of weight Unit of weight


0TARGET_QU Unit of target quantity Unit of measure

1RWHVUHJDUGLQJ,QIR&XEH

1RWHVUHJDUGLQJXSGDWHUXOHV

4XHU\06$B&B46DPSOHVDFFRUGLQJSURGXFWV

3XUSRVH

The query contains the number of samples which have been placed for each product. So you will be able to get anoverview regarding the distribution of samples.

6WUXFWXUHV

.H\ILJXUH 1RWHV

0NO_SAMPLE Number of samples

)UHHFKDUDFWHULVWLFV


0CUSTOMER_0KEYACCOUNT

Key Account

0CUSTOMER_0CUST_CLASS

Classification

0CUSTOMER_0REGION Region

0CUSTOMER_0COUNTRY Country

0CUSTOMER_0INDUSTRY Industry




1RWHV

4XHU\06$B&B46DPSOHUHSRUWLQJLQGHWDLO

3XUSRVH

The query contains the number of samples, distributed for each product. Products will be grouped according typesand according country/region where the samples have been distributed so that you will get a detailed account.

6WUXFWXUHV

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)UHHFKDUDFWHULVWLFV


0CUSTOMER_0KEYACCOUNT

Key Account

0CUSTOMER_0CUST_CLASS

Classification

0CUSTOMER_0INDUSTRY Industry

1RWHV

4XHU\06$B&B46DPSOHVUHSRUWLQJDFFRUGLQJUHJLRQ

3XUSRVH

The query contains the number of samples distributed for each product. You will get a detailed account by agrouping according countries and regions as well as by a subdivision according different months in which the sam-ples have been distributed.

6WUXFWXUHV

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)UHHFKDUDFWHULVWLFV


0MATERIAL Material




1RWH

4XHU\06$B&B42UGHUTXDQWLW\IRUPDWHULDOSHUPRQWK

3XUSRVH

The query provides an overview which products have been ordered in which quantity and in which month. Differentproducts will be grouped. You will be able to get an overview which products are mainly influencing the revenue ofdifferent sales offices per month.

6WUXFWXUHV

.H\ILJXUH 'HVFULSWLRQ

0ORDER_QTY Order quantity

)UHHFKDUDFWHULVWLFV


0SALES_OFF Sales office

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4XHU\06$B&B4&XVWRPHURUGHUTXDQWLW\SHUPRQWK

3XUSRVH

The query provides an overview how many orders have been placed by the customers in which month. Differentcustomers will be grouped. You will be able to get an overview which customers are mainly influencing the revenuein different sales offices per month.

6WUXFWXUHV

.H\ILJXUH 1RWH

0ORDERS Number of orders

)UHHFKDUDFWHULVWLFV



1RWHV

4XHU\06$B&B4$FWLRQVHOOLQJSULFHV

3XUSRVH

The query provides an overview in which way the action selling prices has been changed for different products inwhich month. So you will be able to get an overview of the development in different sales offices.




6WUXFWXUHV

.H\ILJXUHV 1RWHV

0ACTN_PRIC Action selling price

)UHHFKDUDFWHULVWLFV



1RWHV

4XHU\06$B&B42YHUYLHZRIRUGHUVSHUGLYLVLRQ

3XUSRVH

The query provides an overview in which way the order key figures are represented for the different divisions. Thedivisions will be grouped. So you will get an overview of the development in different sales offices.

6WUXFWXUHV

.H\ILJXUH 1RWHV

0COST Invoice value in sales document currency


0ORDER_QTY Order quantity of the customer of VME

)UHHFKDUDFWHULVWLFV



1RWHV

4XHU\06$B&B42UGHUVSHUVDOHVRIILFH

3XUSRVH

The query provides an overview about the number of orders distributed by the customers. The grouping is effectedby customers. You will be able to get an overview about the development of different sales offices.

6WUXFWXUHV

)LJXUH 1RWHV

0ORDERS Orders




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1RWHV

,QIR&XEH06$B&$FWLYLWLHV&XVWRPHUV

&RQWHQW

That InfoCube contains data of the activity reporting, activity management and customer order. This way generalsuccess control of activities will be guaranteed (not on product-level).

,QIR6RXUFHV

0MSA_GN_FCT Activity reporting0MSA_GN_ACT Activities2LIS_01_S260 SD - Customer order

&KDUDFWHULVWLFV






0SOLD_TO Sold-to party 0SOLD_TO__0ACCNT_GRP0SOLD_TO__0COUNTRY0SOLD_TO__0CUST_CLAS0SOLD_TO__0CUST_MKT0SOLD_TO__0IND

USTRY0SOLD_TO__0KEYACCOUN0SOLD_TO__0NIELSEN_I0SOLD_TO__0OUTL_TYPE0SOLD_TO__0REGION0SOLD_TO__0VISIT_RYT

No







7LPHFKDUDFWHULVWLFV





.H\)LJXUHV


0NET_VALUE Net value of order position in sales docu-ment currency

0DOC_CURRCY SUM


0NO_ACTIV Number of activities SUM

0COST Invoice value in sales document currency 0DOC_CURRCY SUM





8QLWV


0DOC_CURRCY Currency of the sales document Currency

0UNIT_OF_WT Unit of weight Unit of measure


1RWHVWR,QIR&XEH

1RWHVWRXSGDWHUXOHV

4XHU\06$B&B45HJLRQDO$QDO\VLV

3XUSRVH

The query provides an overview in which way the net values of order positions will be distributed per month and perregion. The grouping will be effected according regions.




6WUXFWXUHV

.H\ILJXUHV 1RWHV

0NET_VALUE Net value of order positions in sales document currency

)UHHFKDUDFWHULVWLFV


1RWHV

4XHU\06$B&B4&XVWRPHUVSHFLILFDQDO\VLV

3XUSRVH

The query provides an overview of different key figures which are monthly distributed on the customers. Thegrouping will be effected according customers. You will get an overview of the development regarding differentcharacteristics.

6WUXFWXUHV

)LJXUH 1RWHV

0NO_ACTIV Number of activities




0COST Invoice value of sales document currency

)UHHFKDUDFWHULVWLFV



0SOLD_TO_0KEYACCOUNT Key Account

0SOLD_TO_0ACCNT_GRP Customer account group

0SOLD_TO_0CUST_CLASS Customer classification

0SOLD_TO_0CUST_MKT Market of the customer

0SOLD_TO_0OUTL_TYPE Outlet type

0SOLD_TO_0NIELSEN_ID Nielsen indicator





0SOLD_TO_0REGION Region

0SOLD_TO_0VIST_RYT Pre-defined visit rhythm

1RWHV

4XHU\06$B&B4$FWLYLWLHVRI.H\$FFRXQWV

3XUSRVH

The query provides an overview of all differently defined key figures which will be monthly distributed on the cus-tomers. The grouping will be effected according customers. So you will get an overview of the development/phasesfor the Key Account Management.

6WUXFWXUHV

)LJXUH 1RWHV





0NET_WT_AP Net weight of the position


0REAL_PRIC Selling price realized


)UHHFKDUDFWHULVWLFV


1RWHV

4XHU\06$B&B4$FWLYLWLHVDFFRUGLQJLQGXVWULHV

3XUSRVH

The query provides an overview of the development of the net value - monthly distributed to the industries. Thegrouping will be effected according industries.




6WUXFWXUHV

)LJXUH 1RWHV

0NET_VALUE Net values of order positions in sales document currency

)UHHFKDUDFWHULVWLFV


1RWHV

4XHU\06$B&B4$FWLYLWLHVDFFRUGLQJFXVWRPHUFODVVHV

3XUSRVH

The query provides an overview of the development of the net value which will be monthly distributed to the cus-tomer classification. The grouping will be effected according customer classes.

6WUXFWXUHV

)LJXUH 1RWHV


)UHHFKDUDFWHULVWLFV


1RWHV

4XHU\06$B&B4$FWLYLWLHVDFFRUGLQJ1LHOVHQLQGLFDWRUV

3XUSRVH

The query provides an overview of the development of different key figures which will be monthly distributed to theappropriate Nielsen-indicators. The grouping will be effected according Nielsen-indicators. Prices, activities andorders will be compared periodically.

6WUXFWXUHV

)LJXUH 1RWHV









0NET_VALUE Net value of order position in sales document currency

)UHHFKDUDFWHULVWLFV


1RWHV

4XHU\06$B&B4$FWLYLWLHVDFFRUGLQJRXWOHWW\SH

3XUSRVH

The query provides an overview of the development of different key figures which will be monthly distributed to theappropriate outlet types. The grouping will be effected according outlet types. Prices, activities and orders will becompared periodically.

6WUXFWXUHV

)LJXUHV 1RWHV






0NET_VALUE Net value of order positions ins sales document currency

)UHHFKDUDFWHULVWLFV


1RWHV

4XHU\06$B&B49LVLWUK\WKPDQDO\VLV

3XUSRVH

The query provides an overview of the development of different figures which will be monthly distributed on a visitrhythm. The grouping will be effected according visit rhythm. Prices, activities and orders will be compared periodi-cally.




6WUXFWXUHV

)LJXUH 1RWHV






0NET_VALUE Net value of order positions of sales document currency

)UHHFKDUDFWHULVWLFV


1RWHV

,QIR&XEH06$B&5HYHQXHV

&RQWHQW

That InfoCube contains data of the customer order. That data will be enhanced by CRM-Master Data - relations to

activities, opportunities, campaigns and promotions.

,QIR6RXUFHV

2LIS_01_S260 SD - Customer order

&KDUDFWHULVWLFV




No




0SOLD_TO Sold-to party 0SOLD_TO__0ACCNT_GRP0SOLD_TO__0COUNTRY0SOLD_TO__0CUST_CLAS0SOLD_TO__0CUS

T_MKT0SOLD_TO__0INDUSTRY0SOLD_TO__0KEYACCOUN0SOLD_TO__0NIELSEN_I0SOLD_TO__0OUTL_TYPE0SOLD_TO__0REGION0SOLD_TO__0VISIT_RYT

No




0SALES_DIST Sales district No No


0SLS_ACTIV Activity No No

0SAL_PROM Promotion No No



0OPP_NUM Opportunity 0OPP_NUM__0OPPRRESUL0OPP_NUM__0OPP_CLAS0OPP_NUM__0OPP_KIND0OPP_NUM__0OPP_PHASE0OPP_NUM__0OPP_REF0OPP_NUM__0OPP_RESUL0OPP_NUM__0OPP_TYPE

No

0ORD_REASON Reason for order (Reason for procedure) No No

0DOC_CATEG Sales document category No No

0DOC_TYPE Sales document type No No




)UHHFKDUDFWHULVWLFV




.H\)LJXUHV


0NET_VALUE Net value of order positions in salesdocument currency

0DOC_CURRCY SUM

0ORDER_QTY Order quantity of the customer in VME 0SALES_UNIT SUM



0COST Invoice value in sales document currency 0DOC_CURRCY SUM

8QLWV


0DOC_CURRCY Currency of the sales document Currency

0SALES_UNIT Sales units Unit of measure

0UNIT_OF_WT Unit of weight Unit of measure

1RWHVWR,QIR&XEH

1RWHVWRXSGDWHUXOHV

Additional fields will be filled according to the update-rules. Therefore it is necessary that master data are alreadyloaded.

4XHU\06$B&B42UGHUTXDQWLW\

3XUSRVH

The query provides an overview of the development of the order quantity per product and sold-to party. Thegrouping will be effected according material.

6WUXFWXUHV

)LJXUH 1RWHV

0ORDER_QTY Order quantity of the customer in VME




)UHHFKDUDFWHULVWLFV




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The query provides an overview of the development of the net value per product and sold-to party. The groupingwill be effected according material.

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0NET_VALUE Net value of order position in sales document currency

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The query provides an overview of the development for the invoice value per product and sold-to party. Thegrouping will be effected according sold-to party.

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The query provides an overview of the development of the coverage calculated per product and sold-to party. Thegrouping will be effected according the material.

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The query provides an overview of the development of the net value per sales organization. The grouping will beeffected according the criteria promotion and promotion type.

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0NET_VALUE Net value

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The query provides an overview of the development of the net value per region. The grouping will be effected ac-cording the criterion promotion.




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The query provides an overview of the development of the net value per month. The grouping will be effected ac-cording the criterion Opportunity-Classification.

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The query provides an overview of the development of the net value per month. The grouping will be effected ac-cording the criterion Opportunity-Result Reason.

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The query provides an overview of the development of the net value per month. The grouping will be effected ac-cording the criterion kind of opportunity.

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The query provides an overview of the development of the net value per month. The grouping will be effected ac-cording the criterion Opportunity type.

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cording the criterion material.




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0DOC_TYPE Sales document type

0SLS_ACTIV_0SLS_ACTYP Activity type

0SAL_PROM_0PROM_TYPE Promotion type

0SAL_PROM Promotion

0OPP_NUM_0OPP_KIND Kind of opportunity

0OPP_NUM_0OPPRRESULT Opportunity result

0OPP_NUM_0OPP_CLAS Opportunity classification

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The query provides an overview of the development of the net weight per customer classification. The grouping willbe effected according the criterion promotion.

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That InfoCube contains analysis and evaluations of the tables concerning activities activity reporting. It is principallysuitable for questioning, especially in regard to the number of activities and samples under certain criteria.




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0MSA_GN_ACT Activities0MSA_GN_FCT Activity reporting

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0REGION Region (Federal State) No No

0INDUSTRY Industry key No No

0CUST_MKT Market of the customer No No

0CUST_CLASS Customer classification No No

0OUTL_TYPE Outlet type No No

0ACCNT_GRP Customer account group No No

0NIELSEN_ID Nielsen-indicator No No

0KEYACCOUNT Key Account No No

0TYPE_CP Customer (R/3) or prospect (Mobile Sales) No No

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That query indicates the number of activities including prospects (only available in Mobile Sales) for one calendaryear. Furthermore the key figure is subdivided into customer classifications.

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That query indicates the number of activities and samples within their chronological development (on month-level)for the individual regions and countries.




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That query indicates the number of activities for Key Accounts within their chronological development (on month-level) for the individual Nielson-indicators.

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That query provides an overview of the number of activities and samples within their chronological development(on month-level) for activity types.

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That InfoCube contains material information regarding opportunities. A pipeline or a funnel analysis is not possibleas the characteristics of the opportunity are directly taken from the master data.

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That query indicates the expected value in its chronological development (on month-level) for the different materi-als.

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That InfoCube contains data regarding the pipeline or funnel analysis. It helps answering questions: How manyopportunities of type X are available in which phase? How many were available last year? How many opportunitiesget lost due to which reason?

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0HT_MSA_OPP_2 Opportunities (historical view)

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0OPP_KIND Kind of opportunity No No

0OPP_PHASE Opportunity phase No No

0OPP_REF Reference project No No

0OPP_TO End opportunity No No

0OPP_TYPE Opportunity type No No

0OPP_CLAS Opportunity classification No No

0OPP_NUM Opportunity No No

0OPPRRESULT Opportunity reason result No No

0OPP_RESULT Opportunity result No No









0CUSTOMER Customer number No No




0PROSPECT Prospect No No

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That query indicates the expected value and all key figures of the InfoCube for the individual customers of differentphases.

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That query indicates the expected value and all key figures of the InfoCube for the individual customers in differentphases (in columns).

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The workbooks “Job Productivity” and “Department Productivity” for SAP Campbell show exemplary analysis op-tions. They contain their own functions in the form of Visual Basic Macros. The customer can transfer them intohis/her enterprise-specific Content, or use parts of them as a basis for his/her own workbooks. It is just these func-tions of the Visual Basic Macros that make it easier to use the workbooks, with features such as navigation optionsand so on. With the demo workbooks, the process of making information available to decision support can bespeeded up, and Visual Basic functions can be used for improving individual workbooks. The result is an accelera-tion in the implementation process and an increase in the quality of the workbooks.

When activated, the demo workbooks then become the customers’ responsibility. This means that changes in theMacro programming cannot be maintained by SAP. The workbooks demonstrate additional options for analysis andpresentation, but they are not meant for productive use.

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Labor is the single largest controllable expense in the retail environment. It is crucial for management to under-stand how it is being spent across the chain and to use this knowledge to deploy it strategically and advance the

goals of the company . The labor InfoCube allows management to monitor store performance and to analyze actualversus scheduled data. By fully understanding this distribution of labor, users can meet customer service and non-sales requirements while still controlling labor costs and ensuring profitability.

This InfoCube contains the following labor-related information

- Actual and scheduled working hours (for example, regular working hours, overtime hours)

- Actual and scheduled payment (for example, regular pay, overtime pay)

- Workload: expected manpower demand. It is forecast by the SAP Campbell system but can also be adjustedmanually by the store manager. It is represented as working time hours at job level.

- Coverage statistics: reflects the staffing level (understaffing or overstaffing)

The information is presented at the following levels:

- Store

- Job: each employee can be assigned a number of different jobs, with one of them defined as his primary job.All data stored within the SAP Campbell system is aggregated in BW at job level.

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0RC_STORE Store Yes No

0RC_JOB Job Yes No

0RC_DAYWK1 Day of week (Monday, Tuesday...) Yes No

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0CALWEEK Calendar year and week

0FISCPER Fiscal year and period


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0RC_TOT_WL Total workload: the total number of fore-cast hours. This is the sum of flowed andfiller workload.

0UNIT cumulative

0RC_FLOW_WL Flowed workload: workload driven byrevenue, customer count or any othervariable flowed task defined in the SAPCampbell system. Includes the staticworkload.

0UNIT cumulative

0RC_FILL_WL Filler workload: the fixed and variablefiller hours allocated to the workload. Incontrast to static workload that has to bescheduled for certain times (for example,9 a.m. to 10 a.m.), filler workload refers to

non-selling tasks that can be scheduledvariably within certain time segments (forexample, in the morning). As a rule, fillerworkload fills the gaps between workloadpeaks.

0UNIT cumulative

1Since BW, Release 1.2b, does not contain a time characteristic such as ’day of week’, 0RC_DAYWK was imple-

mented as a standard characteristic. 0RC_DAYWK is calculated within the update rules using the function module ’’DATE_COMPUTE_DAY’.




0RC_STAT_WL Static workload: work manually definedby the user. It is constant and independ-ent of revenue, customer count or anybusiness indicator or task defined in theSAP Campbell system (for example, theperson who unlocks the store).

0UNIT cumulative

0RC_OVRSTFF Overstaffing: the number of hours in whichthe total workload is smaller than thenumber of people scheduled and not onan unpaid break

0UNIT cumulative

0RC_UNDSTFF Understaffing: the number of hours inwhich the total workload is greater thanthe number of people scheduled and noton an unpaid break

0UNIT cumulative

0RC_EFFHRS Effective hours: the scheduled hours mi-nus overstaffed hours minus breaks. The

values will be zero for events (for exam-ple, training or meetings) because theseare not scheduled. From the perspectiveof the SAP Campbell system, effectivehours are scheduled hours that match theworkload hours. They are a generalmeasure of schedule quality.

0UNIT cumulative

0RC_NEFFHRS Non-effective hours: the sum of over-staffing and understaffing for the day.The values will be zero for events (forexample, training or meetings), fixed shiftand temporary fixed shift job types, be-

cause these are not scheduled. Non-effective hours could, for example, bespent working on the shop floor and bepaid while the SAP Campbell system cal-culated no corresponding demand.

0UNIT cumulative

0RC_COREAFT Core afternoon hours: the number ofhours of core coverage as part of theworkload for the afternoon segment. Corecoverage means that employees with aparticular job-specific minimum skill levelmust be scheduled.

0UNIT cumulative

0RC_COREEVN Core evening hours: the number of hoursof core coverage as part of the workloadfor the evening segment. Core coveragemeans that employees with a particular job-specific minimum skill level must bescheduled.

0UNIT cumulative

0RC_COREMRN Core morning hours: the number of hoursof core coverage as part of the workloadfor the morning segment. Core coveragemeans that employees with a particular job-specific minimum skill level must bescheduled.

0UNIT cumulative

0RC_PAIDBR Paid breaks: the number of hours ofscheduled paid breaks

0UNIT cumulative




0RC_NPAIDBR Unpaid breaks: the number of hours ofscheduled unpaid breaks

0UNIT cumulative

0RC_MANEDIT Manual edits: manual changes to thesystem-generated staffing schedule. Thenumber of scheduled days (shifts) thathave been manually edited for every em-ployee. Edits are attributed to each em-ployee’s primary job.

− cumulative

0RC_RULVIOL Number of employees with violations ofscheduling work rules assigned to theprimary job

− cumulative

0RC_SCDHRS Scheduled hours: total number of sched-uled hours that are not unpaid breaks.This includes all hours scheduled (regu-lar, overtime, vacation, and so on).

0UNIT cumulative

0RC_SCDEHRS Scheduled event hours: this key figure isthe sum of all hours that employees withthe selected job as their primary job spendin events (for example, training or meet-ings).

0UNIT cumulative

0RC_SCDOHRS Scheduled overtime hours: the number ofhours that will be paid at a higher rate (ata multiple higher than one), regardless ofthe reason.

0UNIT cumulative

0RC_SCDPAY Scheduled pay: The total payroll for thescheduled hours. This includes regular,

overtime, vacation, and so on.

0CURRENCY cumulative

0RC_SCDEPAY Scheduled event pay: the total payroll forthe scheduled event hours, calculatedfrom scheduled event hours.


0RC_ACTRHRS Actual regular hours: actual (punched)paid non-overtime hours.

0UNIT cumulative

0RC_ACTOHRS Actual overtime hours: actual paid over-time hours.

0UNIT cumulative

0RC_ACTEHRS Actual event hours: actual hours spent inan event. These hours are assigned tothe employee’s primary job.

0UNIT cumulative

0RC_ACTPHRS Actual productive hours: within the SAPCampbell system, hours can be labeledas productive (for example, regularhours) or non-productive (for example,hours spent on vacation). Typically, pro-ductive hours are spent in direct supportof the store’s operations

0UNIT cumulative




0RC_ACTNHRS Actual non-productive hours: within theSAP Campbell system, these are hoursthat can be labeled as productive (forexample, regular hours) or non-productive (for example, hours spent onvacation). Typically, non-productive hoursare not spent in direct support of the

store’s operations.

0UNIT cumulative

0RC_ACTRPAY Actual regular pay: total payroll for theactual regular hours, as calculated by theSAP Campbell system.


0RC_ACTOPAY Actual overtime pay: total payroll for theactual overtime hours, as calculated bythe SAP Campbell system.


0RC_ACTEPAY Actual event pay: the pay for the actualevent hours.


0RC_RPFLG Reporting flag: auxiliary variable indicat-ing whether actual figures are availablefor the selected day and store.

− −

0RC_LYRPFLG Last year reporting flag: auxiliary variableindicating whether actual figures areavailable for the selected day and store inthe previous year.

− −

0RC_ADJHOUR Adjusted hours: auxiliary variable usedonly to compute the calculated key fig-ures net scheduled hours and projected

hours. It equals zero if actual hours existsor it equals scheduled hours if no actualhours exists.

0UNIT cumulative

0RC_ADJPAY Adjusted pay: this is an auxiliary variableused only to compute the calculated keyfigures net scheduled pay and projectedpay. It equals zero if actual pay figuresexists or it equals scheduled pay if noactual pay exists.


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0UNIT Unit of measurement UNIT

0CURRENCY Currency key CUKY


Contains information available in the current extraction file, that is, data delivered from the SAP Campbell system.

The SAP Campbell system uses the following terms when referring to labor and sales key figures:

- scheduled hours: labor representing shifts scheduled by the SAP Campbell system and/or edited by the man-ager.




- workload hours: labor representing the manpower demand for the work to be done. Scheduled hours are the’supply’ ideally placed to cover the workload ’demand’.

- actual hours: labor representing shifts actually worked. In an ideal scenario, the actual hours should be placedexactly where the workload demand is placed and the schedule was created to cover that demand.

- planned sales: budgeted sales figures supplied by the corporate headquarters

- system sales: sales forecast computed by algorithms from the SAP Campbell system

- manager sales: adjustments made by the user to the SAP Campbell system’s forecast

- actual sales: sales actually reported on that day. Ideally, it should match the plan, system and manager fore-cast.

In a subscreen users define a 'DLO\,QWHUYDO as the relevant selection period for each query of this InfoCube. Theydo so by specifying a start date and an end date for the query selection.


In BW, if stores upload data twice for a specific day, the new data is not added to the existing values but the olddata is completely replaced by the newest data. For example, if store_1 uploaded $100 for July 10, 1999 and busi-ness indicator_2 (dairy products), and if the same store then uploads $125 for the same date and business indica-tor, the update rules for the SAP Campbell integration InfoCubes replace the value $100 by $125. BW standardupdate rules would add both figures together to a total $225.

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Some key figures are marked as hidden because they are part of the query definition but are not displayed whenyou execute the query.

When comparing actual with planned values it can happen that planned values but no corresponding actual figuresare available. This may cause problems for interpreting aggregated key figures that compare actual with sched-uled data. To solve this problem, the following calculated key figures were introduced:

- 1HW6FKHGXOHG+RXUV: only scheduled hours for which corresponding actual hours are available. If no actualhours are available, net scheduled hours equals zero. Net scheduled key figures describe the scheduled valueof only those stores that reported information for the particular time period. This will allow users to see onlyscheduled vs. actual figures for stores that have both scheduled and actual figures. For example, if nine storesreported 100 actual hours for the day and one store was missing, there would be 900 actual hours. If all tenstores in the district had scheduled to work 100 hours, then the actual vs. scheduled figures would be 900 di-vided by 1000 or 90 % of schedule. This indicates results that are below expectation. However, if you comparethe actual vs. the net plan (plan for reporting stores) figures, this would be 900/(1000-100) or 900/900 = 100 %of plan. This indicates good performance. Whenever some stores do not report actual values, the comparison

of actual vs. planned figures will be misleading unless they have been ’cleaned’ using net plan or projected val-ues.

- 3URMHFWHG+RXUV: it equals actual hours where actual hours exist. If no actual hours is available, projected hoursequals scheduled hours. Projected key figures are a projection of certain values under the assumption that allstores reported that information for the particular time period. This will allow users to have a best estimate forwhen a single store or group of stores does not report for a specific time period. Usually, the scheduled data isused as a substitute for actual data to allow this projection. For example, if nine stores reported 100 hours eachfor the day and one store did not report, the 75 scheduled hours may be substituted for the missing figure togive us a total of 975 projected hours for the day.

The same logic as described for net scheduled hours is implemented for Net Last Year Hours. This includes onlythose previous year’s hours for which corresponding actual hours exist for the current year.




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This query enables users to identify stores that are poorly staffed and evaluate whether they are managing theirovertime situation properly. Stores that are poorly staffed or poorly managed often have serious overtime problems.This means that workers are forced to work more hours than the standard working week. If stores are running ahigh percentage of overtime compared to their peer group, the store may need to hire more people or borrow em-ployees from neighboring stores.

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Actual vs. Scheduled Over-time Hours

Percentage of overtime hours actually worked in the store compared withthe number of overtime hours scheduled

Overtime Hours Total number of overtime hours worked

Scheduled Overtime Hours Number of scheduled overtime hours

Actual Overtime vs. TotalHours

Percentage of overtime hours actually worked compared with the totalnumber of worked hours

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0RC_GEOLEV2 Division

0RC_GEOLEV1 District

0RC_STORE Store

0RC_STORETY Store type

0RC_JOB Job

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Since overtime hours typically cost a retailer one and a half to two times as much as the basic payroll costs, thesehours quickly cause the labor budget to spiral out of control. No comparable store reporting is used in this report.

For this reason, the report should be viewed as an analysis report over a timeframe when all stores are known toreport.

Reporting is usually done on a weekly basis. Primary target group for this report: field management.

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This report enables users to assess the level of customer service from a perspective of hours spent in front of thecustomers. A well-run store is likely to run within company guidelines. Stores with a high percentage are maximiz-

ing their time in front of the customer and increasing the likelihood of increased sales or customer service. Storeswith percentages that are too high may be sacrificing other critical support tasks and may have poor stocking orpoor store appearance. Each client may have their own ‘maximum’ based on the type of store. However, by com-




paring stores across the chain, field managers and corporate executives can target stores that are not as efficientin terms of customer service.

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Selling Hours Percentage Percentage of selling hours compared with the total number of workloadhours

Selling Hours Equals the number of flowed workload hours minus static workload hours

Total Workload Total number of workload hours forecast by the SAP Campbell System

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0RC_STORE Store


0RC_JOB Job

&RPPHQWV

Reporting is usually done on a weekly basis. Primary target groups for this report: business analysts, corporateexecutives.

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This query is very similar to the 6WRUHSURGXFWLYLW\ query. Common measures of retail productivity include sales perlabor hour and payroll percent. This report allows users to see the variance between the actual productivity and theschedule for these two very important metrics. This query enables users to review productivity across time andacross the departments within the store.

6WUXFWXUHV

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Projected Actual Hours Equals total hours where total hours exist. If no total hours figure is avail-able, projected hours equals scheduled hours.

Scheduled Hours Number of hours scheduled that are not unpaid breaks. Includes all sched-uled hours (regular, overtime, vacation, and so on).

Projected Pay Equals total pay where total pay exists. If no total pay is available, pro-

jected pay equals scheduled pay

Scheduled Pay Total amount of scheduled pay




Projected Sales Equals sales where actual sales figures exist. If no actual sales is avail-able, projected sales equals planned sales.

Manager’s Forecast Amount of sales forecast by the manager

Projected – Scheduled Salesper Hour

Difference between projected sales per hour and scheduled sales per hour

Projected Sales per Hour Projected sales divided by projected hours

Scheduled Sales per Hour Manager's forecast sales divided by scheduled hours

Projected – Scheduled LaborPercent

Difference between projected and scheduled labor percent

Projected Labor Percent Projected payroll divided by projected sales

Scheduled Labor Percent Scheduled payroll divided by planned sales

)UHHFKDUDFWHULVWLFV


0RC_REGION Region



0RC_STORE Store


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The query yields complete results for sales per hour only when executed within the 'HSDUWPHQW3URGXFWLYLW\'(02Excel workbook. This workbook also contains the 3URGXFWLYLW\'DWD6RXUFH query, which is a technical prerequisitefor calculating sales per hour.

Reporting is usually done on a weekly basis. Primary target groups for this report: store management, field man-agement, corporate executives.

4XHU\5&B&B4−-RE3URGXFWLYLW\'(02

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This query is modeled in a similar way to the department productivity query. Common measures of retail productiv-ity include sales per labor hour and payroll percent. This report allows users to see the variance between the actualproductivity and the schedule for these two very important metrics. This query enables users to review productivityacross time, across the jobs within the store.

.H\ILJXUH 5HPDUNV

Projected Actual Hours Equal total actual hours where these hours exist. If no total actual hours is

available, projected hours equals scheduled hours.





Projected Pay Equals total pay where total pay exists. If no total pay is available, projected pay equals scheduled pay

Scheduled Pay Total amount of scheduled pay




Difference between projected sales per hour and scheduled sales per hour






Scheduled Labor Percent Scheduled payroll divided by planned sales

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0RC_REGION Region



0RC_STORE Store


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The query yields complete results for sales per hour only when executed within the -RE3URGXFWLYLW\'(02 Excelworkbook. This workbook also contains the 3URGXFWLYLW\'DWD 6RXUFH query, which is a technical prerequisite forcalculating sales per hour.


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This query demonstrates to a user exactly what percentage of labor hours is being targeted to specific areas withinthe store. The report indicates deviations such as one store placing 5% of their hours in a high margin area while




another is placing 25% of their hours in this same area. Often companies use certain percentages as standardrules as to what figures signify a store being run correctly.

6WUXFWXUHV

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Percent Contribution Number of total hours compared with the number of aggregated hours

Total Hours Total number of hours actually worked, includes all types of hours (regular,overtime, event hours)

Aggregated Hours Sum of total hours over the furthest right drilldown. In the standard dri ll-down this will be total hours added together for all departments.

Scheduled Percent Contribu-tion

Number of scheduled hours compared with the number of aggregatedscheduled hours

Scheduled Hours Number of hours scheduled that are not unpaid breaks. Includes all sched-

uled hours (regular, overtime, vacation, and so on). Equals the total work-load plus the number of overstaffed hours minus the number of under-staffed hours.

Aggregated Scheduled Hours Sum of scheduled hours over the furthest right drilldown. In the standarddrilldown this will be scheduled hours added together for all departments.

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0RC_STORE Store


0RC_JOB Job

&RPPHQWV

Reporting is usually done on a weekly basis. Primary target groups for this report: field management, business

analysts.

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As a rule, retail businesses are evaluated according to their labor performance. This report gives the user an over-view of all the time ranges and organizational levels and enables them to monitor data at store level by job and bydepartment. The query compares actual hours and dollars extracted from a time evaluation system against theschedule for a selected store. Thus, a field level manager can see which store has a labor problem as well aswhich area in the store is causing the problem.




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Hours vs. Net Scheduled Percentage of total hours actually worked compared with the net scheduledhours. Net scheduled hours includes only scheduled hours for which corre-sponding total hours exist.

Pay vs. Net Scheduled Percentage of total pay compared with net scheduled pay. Net scheduledpay will include only scheduled pay for which corresponding total pay exist.

Average Hourly Rate vs. NetScheduled AHR

Percentage of average hourly pay rate actually paid compared with thescheduled average hourly pay rate. Net scheduled average hourly pay rateis based on net scheduled hours and net scheduled pay.

Projected vs. ScheduledHours

Percentage of projected hours compared with the number of scheduledhours. Projected hours equal total hours where total hours exist. If no totalhours are available, projected hours equal scheduled hours.

Projected vs. Scheduled Pay Percentage of projected pay compared with scheduled pay. Projected payequals total pay where total pay exists. If no total pay is available, projected pay equals scheduled pay.

Projected vs. ScheduledAverage Hourly Rate

Percentage of projected average hourly pay rate compared with thescheduled average hourly pay rate. Projected average hourly pay rate isbased on projected hours and projected pay.

Projected Hours Equal total hours where total hours exist. If no total hours are available,projected hours equal scheduled hours.

Projected Pay Equals total pay where total pay exists. If no total pay is available, projected pay equals scheduled pay.

Projected Average HourlyRate

Projected pay divided by projected hours

Total Hours (hidden) Total number of hours actually worked. Includes all types of hours (regular,overtime, event hours).

Total Pay (hidden) Total amount of wages actually paid. Includes all types of payment (regu-lar, overtime, event pay).

Average Hourly Rate (hid-den)

Total pay divided by total hours

Adjusted Hours (hidden) Auxiliary variable used only to compute the calculated key figures netscheduled hours and projected hours. It equals zero if actual hours exist orit equals scheduled hours if no actual hours exist.

Adjusted Pay (hidden) Auxiliary variable used only to compute the calculated key figures netscheduled pay and projected pay. It equals zero if actual pay exists or itequals scheduled pay if no actual pay exists.

Scheduled Hours (hidden) Number of hours scheduled that are not unpaid breaks. Includes all sched-uled hours (regular, overtime, vacation, and so on). Equals the total work-load plus the number of overstaffed hours minus the number of under-staffed hours.

Scheduled Pay (hidden) Scheduled pay: the total payroll for the scheduled hours. This includesregular, overtime, vacation, and so on.




Scheduled Average HourlyRate (hidden)

Scheduled pay divided by scheduled hours

Net Scheduled Hours (hid-den)

Scheduled hours minus adjusted hours

Net Scheduled Pay (hidden) Scheduled pay minus adjusted pay

Net Scheduled AverageHourly Rate (hidden)

Net pay divided by net scheduled hours

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0RC_STORE Store


0RC_JOB Job

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Reporting is usually done on a daily basis and thus gives users response time to correct labor issues without com-promising customer service by cutting hours at the end of the reporting period. Primary target groups for this report:store management, field management, corporate executives.

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This report is designed to identify how closely the store manager is adjusting the actual labor usage to the sched-ule. If there are differences, the scheduling model must change or the manager must do a better job of makingemployees work according to the schedule.

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Scheduled vs. WorkloadHours

Percentage of scheduled hours compared with the number of total work-load hours. Scheduled hours in excess of workload indicate staffing be-yond budgeting requirements

Projected vs. ScheduledHours

Percentage of projected hours compared with the number of scheduledhours. Projected hours equal total hours where total hours exist. If no totalhours are available, projected hours equal scheduled hours. Projectedhours in excess of scheduled hours may indicate poor schedule enforce-ment when actual sales are in line with expectations.

Projected vs. WorkloadHours Percentage of projected hours compared with the number of total workloadhours. Projected hours equal total hours where total hours exist. If no totalhours are available, projected hours equal scheduled hours.





Total Workload Sum of filler and flowed workload

Total Hours Total number of hours actually worked. Includes all types of hours (regular,overtime, event hours).

Projected Hours Projected hours equal total hours where total hours exist. If no total hoursare available, projected hours equal scheduled hours.

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0RC_STORE Store


0RC_JOB Job

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Often the schedule is accurate, but employees punching in before and after their scheduled time cause the laborbudget to be exceeded, especially when this additional time pushes the user into an overtime situation. Thiscauses store management to build a buffer and schedule fewer hours than recommended by the forecasting algo-

rithm. As a result, customer service can suffer when fewer hours than needed are scheduled for shop floor work.

Reporting is usually done on a weekly basis. Primary target groups for this report: field management, system ad-ministrators.

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This query evaluates the labor schedule. It highlights areas that are seriously overstaffed or understaffed. Over-staffing means that too many employees are scheduled compared to the expected activity load. Problems resulting

from overstaffing include high payroll costs, employee boredom and employee theft. Understaffing is the oppositeproblem and means that a store has too few employees. Problems that result are poor customer service, poor storeappearance and higher customer theft. Since a number of these areas are difficult to measure individually, thisquery can indicate where and when these problems are likely to arise.

This query is designed to identify how skilled the store user is in applying the SAP Campbell system or how wellmodeled the store is for scheduling. The query shows the relative number of edits and rule violations that storepersonnel are making with the software. Edits are manual overrides to the suggested schedule. High levels of editsindicate the user has a poorly staffed store, it is incorrectly modeled by the SAP Campbell system administrator orthey are simply ignoring the suggestions. Stores with high numbers of edits typically stop using the software after awhile since it simply takes too long to evaluate the schedule and make changes, especially in a big store. Thesestores should be provided with additional training, incentive or configuration services as soon as possible to enablethem to use the software correctly.




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Schedule Effectiveness The number of effective hours compared with the scheduled hours (minusthe scheduled event hours) plus understaffed hours. This value is used asa general measure of schedule quality. A rating of zero would indicate the

worst possible schedule where all shifts were scheduled outside the work-load. A rating of 100 would indicate a perfect schedule with all shiftsscheduled exactly within the workload.

Overstaffing Percentage Percentage of scheduled overstaffed hours compared with the total num-ber of scheduled hours (minus event hours, for example, spent in trainingor meetings). This will indicate whether the schedule effectiveness wasmost affected by too many or too few hours.

Understaffing Percentage Percentage of scheduled hours understaffed compared with the total num-ber of scheduled hours. This will indicate whether the schedule effective-ness was most affected by too many or too few hours.

Edits per 100 ScheduledHours

Number of schedule days that have been manually edited per 100 sched-uled hours

Rule Violations per 100Scheduled Hours

Number of employees with rule violations counted towards the employeesprimary job per 100 scheduled hours

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0RC_STORE Store


0RC_JOB Job

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Stores with low levels of overstaffing and understaffing are often the best-run stores with the best management

team in charge. The report indicates proper staffing levels for all positions and expertise in using the SAP Campbellsystem.

Rule violations occur when a rule set up by the SAP Campbell system administrator or the user is broken. Highnumbers of rule violations indicate that the store needs more training, is poorly staffed or is not keeping up with theweekly maintenance required to make the product work successfully. Stores with high rule violations are also morelikely to violate union or other legal rules set by the governing authority of the store. This can lead to financial pen-alties as well as high employee turnover situations. In these stores employees’ contracts tend to be routinely bro-ken and employees are more likely to leave the store or the company.

Reporting is usually done on a daily basis. Primary target groups for this report: field management, software ad-ministration.




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This InfoCube allows users to monitor sales information. This sales performance will directly indicate whether astore is generating the sales dollars needed to meet the company profitability or market share goals. Data can be

reviewed down to a specific business indicator to identify whether the store is affected by the general businessclimate or whether a single product line is showing signs of growth or decline. This InfoCube enables users to ana-lyze current with previous year’s planned data. It contains the following sales related information:

- Actual sales

- Planned sales as expected by the corporate organization

- Manager’s forecasted sales

- System-forecast sales

- Last year’s sales

The information is presented at the following levels:

- Store

- Business indicator: a more detailed level of sales reporting. In a grocery store, a business indicator would be,for example, meat sales, produce sales or dairy sales. In a department store, a business indicator would be, forexample, men’s, women’s or children's sales. With the SAP Campbell system, clients have the ability to set upany type of business indicator they choose.

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0RC_CI_2 Sales

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0RC_BUS_ID Business indicator Yes No

0RC_DAYWK2

Day of week (Monday, Tuesday...) Yes No

7LPHFKDUDFWHULVWLFV



0CALWEEK Calendar year and week

2Since BW, Release 1.2b, does not contain a time characteristic such as 'day of week', 0RC_DAYWK was imple-

mented as a standard characteristic. 0RC_DAYWK is calculated within the update rules using the function module ''DATE_COMPUTE_DAY'.




0FISCPER Fiscal year and period


.H\ILJXUHV


0RC_MNGFCST Sales forecast by the store manager 0CURRENCY cumulative

0RC_SYSFCST Sales forecast by the SAP Campbell sys-tem


0RC_TYSALES Actual sales for the current year 0CURRENCY cumulative

0RC_LYSALES Actual sales for the previous year for thecorresponding fiscal day


0RC_PLSALES Planned sales, forecast by the company 0CURRENCY cumulative

0RC_RPFLG Reporting flag: auxiliary variable indicatingwhether actual figures are available forthe selected day and store.

− −


− −

0RC_ADJLYSL Adjusted sales for the previous year: aux-

iliary variable used only to compute thecalculated key figure net last year sales. Itequals zero if actual sales figures exist orit equals last year sales if no actual salesexist for the current year.


0RC_ADJSALE Adjusted sales: auxiliary variable usedonly to compute the calculated key figuresnet plan sales and projected sales. Itequals zero if actual sales figures exist orit equals planned sales if no actual salesexist.


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- scheduled hours: labor representing shifts scheduled by the SAP Campbell system and/or edited by the man-ager












In BW, if stores upload data twice for a specific day, the new data is not added to the existing values but the olddata is completely replaced by the newest data. For example, if store_1 uploaded $100 for July 10, 1999 and busi-ness indicator_2 (dairy products), and if the same store then uploads $125 for the same date and business indica-tor, the update rules for the SAP Campbell integration InfoCubes replace the value $100 by $125. BW standardupdate rules would add both figures together to a total $225.


Some key figures are marked as hidden because they are part of the query definition but are not displayed whenyou execute the query.


- 1HW3ODQ6DOHV: includes only planned sales for which corresponding actual sales are available. If no actualsales are available, net plan sales equals zero. Net plan key figures describe the planned value of only thosestores that reported information for the particular time period. This will allow users to see planned vs. actualfigures only for stores that have both planned and actual figures. For example, if nine stores reported $100 ac-tual sales for the day and one store was missing, there would be $900 of actual sales. If all ten stores in thedistrict had planned to sell $100, then the actual vs. planned figures would be 900 divided by 1000 or 90 % ofplan. This indicates results that are below expectation. However, if you compare the actual figures vs. the netplan (plan for reporting stores) figures, this would be 900/(1000-100) or 900/900 = 100 % of plan. This indicatesgood performance. Whenever some stores do not report actual values, the comparison of actual vs. planned

figures will be misleading unless they have been ’cleaned’ using net plan or projected values.

- 3URMHFWHG6DOHV: equals sales where actual sales figures exist. If no actual sales figure is available, projectedsales equals planned sales. Projected key figures are a projection of certain values under the assumption thatall stores reported that information for the particular time period. This will allow users to have a best estimatefor when a single store or group of stores does not report for a specific time period. Usually, the planned orscheduled data is used as a substitute for actual data to allow this projection. For example, if nine stores re-ported $100 each for the day and one store did not report, the $75 planned sales may be substituted for themissing figure to give us a total of $975 projected sales for the day.

The same logic as described for net scheduled hours is implemented for Net Last Year Hours. This includes onlythose previous year’s hours for which corresponding actual hours exist for the current year.




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Clients use sales and non-sales data to forecast their business. The non-sales data is typically known as volume orbusiness drivers. In most cases, users of the SAP Campbell system define customer count as the key businessdriver. This report captures how the business driver is performing against budget and against the previous year.

When scheduling it is very important to use a combination of sales and non-sales drivers. If it is known that a gro-cery store is selling $ 300 in a quarter hour, this will give an indication of the staffing level. That same grocery storewould schedule the registers very differently if it had one customer buying $ 300 worth of food or 150 customersbuying a single cup of coffee at a price of one dollar.

The key configuration element required in the SAP Campbell system set-up is that this volume indicator must alsobe imported as a business indicator and set up as a non-sales indicator in the store master data.

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Sales vs. Net Plan Percentage of actual sales compared with net planned sales

Sales – Net Plan Difference between actual sales and the net planned sales

Sales Amount of sales

Net Plan Sales Amount of net planned sales. Includes only planned sales for which corre-sponding actual sales figures exist.

Adjusted Sales Adjusted sales of the previous year: auxiliary variable used only to computethe calculated key figure net last year sales. It equals zero if actual sales

figures exist or it equals last year's sales if no actual sales exist for thecurrent year.

Projected Sales vs. Plan Percentage of projected sales compared with planned sales

Projected Sales – Plan Difference between projected sales and planned sales. If no actual sales isavailable, projected sales equals planned sales.


Planned Sales Amount of planned sales, forecast by the company

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0RC_STORE Store





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This report is crucial for business analysts as well as for the SAP Campbell implementation managers to make surethe stores are properly modeled for staffing.

Reporting is usually done on a daily basis. Primary target groups for this report: all levels of management; softwareadministration; business analysts.

Despite the key figures listing data as ’sales’, the key volume drivers may not necessarily be sales data. The term’sales’ is simply a remainder of the information being imported as a business indicator of the SAP Campbell sys-tem. For example, although the name of the volume driver may refer to currency, it can still be a non-sales volumedriver.

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This query is used to verify how the SAP Campbell system and the manager using this software are performing

their forecasting activity. To write an optimal schedule, the SAP Campbell system must receive as input an accu-rate forecast of the business expected in the upcoming period. The software will provide a forecast and the man-ager can change the forecast figure. This query allows upper management to review how the stores are modifyingthe forecast and how the SAP Campbell system is forecasting. By reviewing this performance, corporate manage-ment will be able to evaluate the manager’s understanding of store business properly and to provide additionaltraining to users making incorrect changes to the system.

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Manager. vs. Projected Sales Percentage of sales forecast by the store manager compared with the

projected sales.

Manager. vs. Planned Sales Percentage of sales forecast by the store manager compared with theprojected sales

Manager. vs. System Sales Percentage of sales forecast by the store manager compared with thesales forecast by the system.

System vs. Projected Sales Percentage of system-forecast sales compared with the planned sales

Manager's Forecast Sales forecast by the store manager

Projected Sales Equals sales where actual sales figures exist. If no actual sales is avail-

able, projected sales equals planned sales.

System Forecast System-generated sales forecast



Adjusted Sales (hidden) Adjusted sales of the previous year: auxiliary variable used only to computethe calculated key figure net last year sales. It equals zero if actual salesfigures exist or it equals last year's sales if no actual sales exist for thecurrent year.




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0RC_STORE Store


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Since the software cannot have all the knowledge that a store manager has about local activities, the override ca-pability is intended to make the system more accurate. For example, if the road in front of the store is being pavedthis week, traffic and sales will be down. However, a forecasting algorithm based on trends could not forecast thispossibility and will tend to over-forecast for the week. A manager is expected to modify the forecast appropriately.

Reporting is usually done on a weekly basis. Primary target groups for this report: field management; software ad-ministration.

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This query serves a technical purpose only. The query is not displayed in the 6$3%XVLQHVV([SORUHU%URZVHUandis not intended for operational customer use.

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0RC_REGION Region



0RC_STORE Store





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This year-by-year comparison is a key measurement of retail company performance measures. The ‘same store’ or‘comparable store’ reporting against the preceding year is a key figure closely watched by the stock market and iswidely reported in the financial media. BW reports on these figures by business indicator for all levels of the com-pany.

6WUXFWXUHV

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Sales vs. Net Last Year Percentage of actual sales compared with net sales in the previous year


Net Last Year's Sales Amount of net sales in the previous year. Includes only these previous

year's sales for which corresponding actual sales for the current year exist.

Adjusted Sales Adjusted sales of the previous year: auxiliary variable used only to computethe calculated key figure net last year sales. It equals zero if actual salesfigures exist or it equals last year's sales if no actual sales exist for thecurrent year.

Projected Sales vs. Last Year Percentage of projected sales compared with last year's sales


Last Year's Sales Amount of sales in the previous year

Adjusted Last Year's Sales(hidden)

Adjusted sales of the previous year: auxiliary variable used only to com-pute the calculated key figure net last year sales. It equals zero if actualsales figures exist or it equals last year's sales if no actual sales exist forthe current year.

)UHHFKDUDFWHULVWLFV




0RC_STORE Store


&RPPHQWV

Reporting is usually done on a weekly basis. Primary target groups for this report: store and field management,corporate executives.




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This query is designed to show how the retail store, district, region and company are performing according to thepredetermined sales plan by day. The query shows the raw figures, variance and percentage difference betweenthe key figures. It enables the user to analyze key figures at all levels of time reporting as well as at the businessindicator level.

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Sales vs. Net Plan Percentage of actual sales compared with the net plan sales

Sales − Net Plan Difference between actual sales and the net plan sales


Net Plan Sales Amount of net planned sales. Includes only planned sales for which corre-sponding actual sales figures exist.

Adjusted Sales Adjusted sales of the previous year: auxiliary variable used only to computethe calculated key figure net last year sales. It equals zero if actual salesfigures exist or it equals last year’s sales if no actual sales exist for thecurrent year.

Projected Sales vs. Plan Percentage of projected sales compared with the planned sales. If no ac-tual sales is available, projected sales equals planned sales.

Projected Sales − Plan Difference between projected sales and planned sales. If no actual sales is

available, projected sales equals planned sales.



)UHHFKDUDFWHULVWLFV




0RC_STORE Store


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Reporting is usually done on a daily basis. Primary target groups for this report: store management; field manage-ment; corporate executives.




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This InfoCube combines sales and labor-related information. Based on this set of information it is possible to modelcalculated key figures such as ’Sales per (Labor) Hour’ or ’Labor Percent’ (percentage of labor cost compared with

sales) which combine sales and labor information and which are key indicators in the retail industry.

Sales information is presented at the following level:

- Store

- Business indicator: a more detailed level of sales reporting. In a grocery store, a business indicator would be,for example, meat sales, produce or dairy sales. In a department store, a business indicator would be, for ex-ample, men’s, women’s or children’s sales. With the SAP Campbell system, clients can set up any type ofbusiness indicator they choose.

Labor information is presented at the following level:

- Store

- Job: each employee can be assigned a number of different jobs, with one of them defined as his primary job.All data stored within the SAP Campbell system is aggregated in BW at job level.

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0RT_RC: SAP Campbell Integration

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0RC_BUS_ID Business indicator Yes No

0RC_JOB Job Yes No

0RC_ DAYWK3

Day of week (Monday, Tuesday...) Yes No

7LPHFKDUDFWHULVWLFV



0CALWEEK Calendar week

0FISCPER Fiscal period / year


3Since BW, Release 1.2b, does not contain a time characteristic such as 'day of week', 0RC_DAYWK was imple-

mented as a standard characteristic. 0RC_DAYWK is calculated within the update rules using the function module ''DATE_COMPUTE_DAY'.




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0RC_TOT_WL Total workload: the total number of fore-cast hours. This is the sum of flowed and

filler workload.

0HOURS cumulative

0RC_FLOW_WL Flowed workload: workload dynamicallydriven by revenue, customer count or anyother variable flowed task defined in theSAP Campbell system. Includes thestatic workload.

0HOURS cumulative

0RC_FILL_WL Filler workload: the fixed and variablefiller hours allocated to the workload. Incontrast to static workload that has to bescheduled for certain times (for example,9 a.m. to 10 a.m.), filler workload refers to

non-selling tasks that can be scheduledvariably within certain time segments (forexample, in the morning). As a rule, fillerworkload fills the gaps between workloadpeaks.

0HOURS cumulative

0RC_STAT_WL Static workload: work manually definedby the user. It is constant and independ-ent of revenue, customer count or anybusiness indicator or task defined in theSAP Campbell system (for example, theperson who unlocks the store).

0HOURS cumulative

0RC_SYSFCST Sales forecast by the system 0CURRENCY cumulative

0RC_OVRSTFF Overstaffing: the number of hours in whichthe total workload is smaller than thenumber of people scheduled and not onan unpaid break

0HOURS cumulative

0RC_UNDSTFF Understaffing: the number of hours inwhich the total workload is greater thanthe number of people scheduled and noton an unpaid break

0HOURS cumulative

0RC_EFFHRS Effective hours: the scheduled hours mi-nus overstaffed hours minus breaks. Thevalues will be zero for events (for exam-ple, training or meetings) because theseare not scheduled. From the perspectiveof the SAP Campbell system, effectivehours are scheduled hours that match theworkload hours. They are a generalmeasure of schedule quality.

0HOURS cumulative




0RC_NEFFHRS Non-effective hours: the sum of over-staffing and understaffing for the day.The values will be zero for events (forexample, training or meetings), fixed shiftand temporary fixed shift job types, be-cause these are not scheduled. Non-effective hours could, for example, be

spent working on the shop floor and bepaid while the SAP Campbell system cal-culated no corresponding demand.

0HOURS cumulative

0RC_COREAFT Core afternoon hours: the number ofhours of core coverage as part of theworkload for the afternoon segment. Corecoverage means that employees with aparticular job-specific minimum skill levelmust be scheduled.

0HOURS cumulative

0RC_COREEVN Core evening hours: the number of hours

of core coverage as part of the workloadfor the evening segment. Core coveragemeans that employees with a particular job-specific minimum skill level must bescheduled.

0HOURS cumulative

0RC_COREMRN Core morning hours: the number of hoursof core coverage as part of the workloadfor the morning segment. Core coveragemeans that employees with a particular job-specific minimum skill level must bescheduled.

0HOURS cumulative

0RC_PAIDBR Paid breaks: the number of hours ofscheduled paid breaks. 0HOURS cumulative

0RC_NPAIDBR Unpaid breaks: the number of hours ofscheduled unpaid breaks.

0HOURS cumulative

0RC_MANEDIT Manual edits: manual changes to thesystem-generated staffing schedule. Thenumber of scheduled days (shifts) thathave been manually edited for every em-ployee. Edits are attributed to each em-ployee’s primary job.

0HOURS cumulative

0RC_RULVIOL Number of employees with violations ofscheduling work rules assigned to theprimary job

− cumulative

0RC_SCDHRS Scheduled hours: total number of sched-uled hours that are not unpaid breaks.This includes all hours scheduled (regular,overtime, vacation, and so on).

0HOURS cumulative

0RC_SCDEHRS Scheduled event hours: this key figure isthe sum of all hours that employees withthe selected job as their primary job spendin events (for example, training or meet-ings).

0HOURS cumulative




0RC_SCDOHRS Scheduled overtime hours: the number ofhours that will be paid at a higher rate (ata multiple higher than one), regardless ofthe reason.

0HOURS cumulative

0RC_SCDPAY Scheduled pay: the total payroll for thescheduled hours. This includes regular,overtime, vacation, and so on.

0HOURS cumulative

0RC_SCDEPAY Scheduled event pay: the total payroll forthe scheduled event hours, calculatedfrom scheduled event hours.

0HOURS cumulative

0RC_ACTRHRS Actual regular hours: actual (punched)paid non-overtime hours.

0HOURS cumulative

0RC_ACTOHRS Actual overtime hours: actual paid over-time hours.

0HOURS cumulative

0RC_ACTEHRS Actual event hours: actual hours spent inan event. These hours are assigned to theemployee’s primary job.

0HOURS cumulative

0RC_ACTPHRS Actual productive hours: within the SAPCampbell system, hours can be labeled asproductive (for example, regular hours) ornon-productive (for example, hours spenton vacation). Typically productive hoursare spent in direct support of the store’soperations.

0HOURS cumulative

0RC_ACTNHRS Actual non-productive hours: within the

SAP Campbell system, these are hoursthat can be labeled as productive (forexample, regular hours) or non-productive(for example, hours spent on vacation).Typically, non-productive hours are notspent in direct support of the store’s op-erations.

0HOURS cumulative

0RC_ACTRPAY Actual regular pay: total payroll for theactual regular hours as calculated by theSAP Campbell system.

0HOURS cumulative

0RC_ACTOPAY Actual overtime pay: total payroll for theactual overtime hours as calculated by theSAP Campbell system.

0HOURS cumulative

0RC_ACTEPAY Actual event pay: the pay for the actualevent hours

0HOURS cumulative

0RC_TYSALES Actual sales of the current year 0CURRENCY cumulative

0RC_RPFLG Reporting flag: auxiliary variable indicat-ing whether actual figures are availablefor the selected day and store.

− −





− −

0RC_ADJLYSL Adjusted sales of the previous year: aux-iliary variable used only to compute thecalculated key figure net last year sales. Itequals zero if actual sales figures exist orit equals last year’s sales if no actual salesexist for the current year.


0RC_ADJHOUR Adjusted hours: auxiliary variable usedonly to compute the calculated key figuresnet scheduled hours and projected hours.It equals zero if actual hours exist or itequals scheduled hours if no actual hoursexist.

0HOURS cumulative

0RC_ADJPAY Adjusted pay: auxiliary variable used onlyto compute the calculated key figures netscheduled pay and projected pay. Itequals zero if actual pay figures exists orit equals scheduled pay if no actual payexists.


0RC_ADJSALE Adjusted sales: auxiliary variable usedonly to compute the calculated key figuresnet plan sales and projected sales. Itequals zero if actual sales figures exist orit equals planned sales if no actual salesexist.


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0UNIT Unit of measurement UNIT





- scheduled hours: labor representing shifts scheduled by the SAP Campbell system and/or edited by the man-ager











The operational InfoCube does not allow you to drill down beyond the store level. All key figures are always dis-played at store level due to a technical restriction.


In BW, if stores upload data twice for a specific day, the new data is not added to the existing values but the olddata is completely replaced by the newest data. For example, if store_1 uploaded $100 for July 10, 1999 and busi-ness indicator_2 (dairy products), and if the same store then uploads $125 for the same date and business indica-tor, the update rules for the SAP Campbell integration InfoCubes replace the value $100 by $125. BW standard

update rules would add both figures together to a total $225.


Some key figures are marked as hidden because they are part of the query definition but are not displayed whenyou run the query.


- 1HW3ODQ or 1HW6FKHGXOHG key figures describe the planned value of only those stores that reported informa-

tion for the particular time period. This will allow users to see only planned vs. actual figures for stores thathave both planned and actual figures. For example, if nine stores reported $ 100 actual sales for the day andone store was missing, there would be $ 900 of Actual Sales. If all ten stores in the district had planned to sell $100, the actual vs. planned figures would be 900 divided by 1000 or 90 % of plan. This indicates results thatare below expectation. However, if you compare the actual figures vs. the net plan (plan for reporting stores)this would be 900/(1000-100) or 900/900 = 100 % of plan. This indicates good performance. Whenever somestores do not report actual values, the comparison of actual vs. planned numbers will be misleading unlessthey have been ’cleaned’ by using net plan or projected values.

- 3URMHFWHG key figures are a projection of certain values under the assumption that all stores reported that infor-mation for the particular time period. This will allow users to have a best estimate for when a single store orgroup of stores does not report for a specific time period. Usually, the planned or scheduled data is used as asubstitute for actual data to allow this projection. For example, if nine stores reported $ 100 for the day and one

store did not report the $ 75 planned sales may be substituted for the missing figure to give us a total of $ 975projected sales for the day.

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It will be rare that all stores successfully deliver their daily information to the BW system every day. Transmissionproblems, user errors and simple timing issues may prevent this. When users interpret the query results, they mustknow how close to complete the data is that provided the basis for the results. For stores that did not upload theirdata, this query shows the forecast sales values. This allows users to simply add the missing numbers to see what

a complete reporting would look like.




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Planned Sales, WeightedAverage Reporting

This key figure will give the user an estimate of the percentage of storesreporting, calculated not by number, but by total planned sales. This willgive you a weighted average of the amount of planned sales dollars ofstores that reported. For example, if you know your stores reported $10000 yesterday and were told that 6 out of 10 reported, you would wonderif your missing stores were large or small stores and how complete the $10000 was. However, if 6/10 reported and that this was made up of storesthat were supposed to make up 99% of the planned sales, you would havea much more accurate understanding of your final sales figures.

Number of Reporting Stores Number of stores that uploaded actual sales

Number of Non–ReportingStores

Number of stores that did not upload actual sales

Reporting Flag (hidden) Auxiliary variable indicating whether actual figures are available for theselected day and store. This has to be considered especially for aggre-

gated key figures, since they vary considerably if one or more stores doesnot upload actual figures.

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0RC_REGION Region




0RC_BUS_ID Business Indicator

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Users will not be making critical business decisions if only 30% of the stores reported the previous night. Seeingthe number of stores – specifically which stores did not transmit – gives users the necessary degree of confidencein reviewing the numbers.

Reporting is usually done on a daily basis. Primary target groups for this report: field management, corporate ex-

ecutives, system administrators.

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This query allows managers ‘one-stop shopping’ for the key sales and labor metrics for a defined time period as itshows the principle key figures at a glance. The goal of placing all these key figures in one report is to save theuser from having to look at five queries to find out whether everything is in order. Certain limitations require us tokeep the reporting at the ‘total store’ level. If the user wants more detailed results, they can use the other sales andlabor reports to find out what is specifically causing the problem.




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Total Store Projected Sales Equals sales where total store sales exist. If no total store sales is avail-able, projected sales equals total store planned sales.

Projected Actual Hours Equal total hours where total actual hours exist. If no total hours is avail-able, projected hours equals scheduled hours.




Projected Labor Percent Projected pay divided by projected sales

Projected Sales Per Hour Projected sales divided by projected hours

Schedule Effectiveness The number of effective hours compared with the scheduled hours (minus

the scheduled event hours) plus understaffed hours. This value is used asa general measure of schedule quality. A rating of zero would indicate theworst possible schedule where all shifts were scheduled outside the work-load. A rating of 100 would indicate a perfect schedule with all shiftsscheduled exactly within the workload.

Total Store Sales Total amount of store sales

Total Hours Total number of hours actually worked, includes all types of hours (regular,overtime, event hours)

Total Pay Total amount of wages

Average Hourly Rate Total amount of wages divided by the total number of worked hours

Store Labor Percent Payroll divided by total store sales

Store Sales Per Hour Total store sales divided by total hours

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0RC_STORE Store


0RC_DEPART Department

0RC_JOB Job

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Reporting is usually done on a daily basis. Primary target groups for this report: field management, corporate ex-ecutives.




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This query is designed for the same purpose as the store operations summary. It will not, however, just give theuser the raw numbers but, more importantly, will show how these numbers correspond to plan. Ideally all the num-bers should be in one report. The sheer volume of information is not appealing to most users, however, and thereports have therefore been split.

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Projected vs. Store PlannedSales

Percentage of total store projected store sales compared with total storeplanned sales. Projected sales equals sales where actual sales figuresexist. If no actual sales is available, projected sales equals planned sales.

Projected vs. ScheduledStore Hours

Percentage of hours projected to be worked compared with scheduledhours in the store

Projected vs. Scheduled

Store Pay

Percentage of wages projected to be paid in the store compared with

planned store wages

Projected vs. ScheduledAverage Hourly Rate

Percentage of projected average hourly pay rate actually paid in the storecompared with the scheduled average hourly pay rate

Total Store Projected Sales Projected sales for the business indicator marked as ’total business’ in theBW master data

Total Store Planned Sales Amount of planned store sales, restricted key figure

Projected Actual Hours Equals total hours where total hours exists. If no total hours is available,projected actual hours equals scheduled hours.

Scheduled Hours Total number of scheduled hours that are not unpaid breaks. This includesall hours scheduled (regular, overtime, vacation, and so on).


Scheduled Pay Amount of scheduled wages



Scheduled Average Hourly

Rate


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0RC_STORE Store






0RC_JOB Job

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Reporting is usually done on a daily basis. Primary target groups for this report: field management, corporate ex-ecutives.

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This report is also designed for ‘one-stop shopping’ and provides all major key figures at one glance. However, itadds the schedule information to the query. This allows upper management to see how next week will end, beforeit begins. They now have a chance to be SURDFWLYH in solving problems, not just reactive. By running this one report,field management can essentially run the entire chain with significant impact on sales, labor, customer service,employee morale, store appearance, labor contract violations, product usage of the SAP Campbell system, profit-ability and loss prevention.

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Manager vs. Store PlannedSales

Percentage of total store sales forecast by the store manager comparedwith total store planned sales

Total Store Manager's Sales Amount of sales forecast by the store manager

Total Store Planned Sales Amount of planned store sales, forecast by the company

Scheduled Hours vs. StoreWorkload

Percentage of scheduled hours compared with the workload

Scheduled Hours Total number of scheduled hours that are not unpaid breaks. This includesall hours scheduled (regular, overtime, vacation, and so on).

Total Workload Total amount of workload

Scheduled Pay Amount of scheduled wages

Scheduled Average HourlyRate


Edits per 100 ScheduledHours

Ratio of manually editing the scheduling data generated by the SAPCampbell system per one hundred scheduled hours

Rule Violations per 100Scheduled Hours

Ratio of rule violations committed per one hundred scheduled hours

Schedule Effectiveness The number of effective hours compared with the scheduled hours (minusthe scheduled event hours) plus understaffed hours. This value is used asa general measure of schedule quality. A rating of zero would indicate theworst possible schedule where all shifts were scheduled outside the work-load. A rating of 100 would indicate a perfect schedule with all shiftsscheduled exactly within the workload.




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0RC_STORE Store



0RC_JOB Job

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This may be the most powerful report in the system. Many clients have flash sales data and fewer have flash labor.

However, virtually no client has future week sales, labor and coverage information.

Reporting is usually done on a weekly basis. Primary target groups for this report: field management, corporateexecutives.

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Common measures of retail productivity include sales per labor hour and payroll percent. This report allows usersto see the difference between the actual productivity and the plan for these two very important metrics. This query

enables users to review this across time, across the company and across jobs and departments within the store.

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Difference between projected store sales per hour and scheduled storesales per hour






Scheduled Labor Percent Scheduled payroll divided by manager's forecast sales

Projected Sales (hidden) Equals sales where actual sales figures exist. If no actual sales is avail-able, projected sales equals planned sales.

Projected Actual Hours (hid-

den)

Equals total hours where total hours exists. If no total hours is available,

projected actual hours equals scheduled hours.




Projected Pay (hidden) Equals total pay where total pay exists. If no total pay is available, projected pay equals scheduled pay.

Total Store Manager’s Sales(hidden)

Amount of manager’s forecast sales

Scheduled Hours (hidden) Total number of scheduled hours that are not unpaid breaks. This includesall hours scheduled (regular, overtime, vacation, and so on). Restricted keyfigure

Scheduled Pay (hidden) Total amount of scheduled wages, restricted key figure

Adjusted Sales (hidden) Auxiliary variable used only to compute the calculated key figures net plansales and projected sales. It equals zero if actual sales figures exist or itequals planned sales if no actual sales exist. The sum of adjusted salesallows you to determine the amount of dollars missing from the non-reporting stores.

Adjusted Hours (hidden) Adjusted hours: auxiliary variable used only to compute the calculated key

figures net scheduled hours and projected hours. It equals zero if actualhours exist or it equals scheduled hours if no actual sales exist.

Adjusted Pay (hidden) Adjusted pay: auxiliary variable used only to compute the calculated keyfigures net scheduled pay and projected pay. It equals zero if actual payexists or it equals scheduled pay if no actual pay exists.

Total Store Sales (hidden) Amount of sales in the store, restricted key figure

Total Hours (hidden) Total number of hours actually worked, includes all types of hours (regular,overtime, event hours), restricted key figure

Total Pay (hidden) Total amount of wages, restricted key figure

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0RC_STORE Store


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If stores fall below the level of productivity, it often means that their largest controllable cost, labor, is out of control.This could be the result of special circumstances at the store, but often is attributed to poor management. By givingupper management an insight into which stores (which area) missed their numbers, they can quickly address theproblem before it spirals further out of control.





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This InfoCube is a ‚Remote InfoCube‘. It contains no ‚real‘ data. It is used to access Syndicated Data out of a demodata base from ACNielsen US. When a query is executed, the Data Manager of SAP BW requests the data directlyfrom the Source System (ACNIELSEN) to retrieve the appropriate data. The demo database is a ACNielsen data-base for special laundry care category. It contains standard key figures commonly used by consumer productscompanies.

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This InfoCube is not updated with an InfoSource, it is connected with an external System.

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0DSLC_CT ACN-US SLC Category No No

0DSLC_BT ACN-US SLC Brand No No

0DSLC_IT ACN-US SLC Industry Subtotal No No

0DSLC_UT ACN-US SLC UPC / EAN No No

0DSLCMKT ACN-US SLC Market No Yes

0DSLCPER ACN-US SLC Period No No

0DSLCPRD ACN-US SLC Product Yes No

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0CALYEAR Calendar Year (Dummy Period, see 0DSLCPER)

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0DSLCSU SALES UNITS Integer non-additive

0DSLCSUE SALES UNITS EQU - OUNCE BASIS Float additive

0DSLCSD SALES DOLLARS Amount additive

0DSLCPACV %ACV (% STORES SELLING) Float non-additive0DSLCSACV ACV SELLING $(000)/STR Amount non-additive

0DSLCACV MARKET ACV $(000)/STR Amount non-additive




0DSLCSPMU SALES PER MILL/STR(UNITS) Integer non-additive

0DSLCSPME SALES PER MILL/STR(EQU) - OUNCE BASIS Float additive

0DSLCSPMD SALES PER MILL/STR($) Amount additive

0DSLCBU TOTAL BASELINE-UNITS Integer non-additive

0DSLCBE TOTAL BASELINE-EQU - OUNCE BASIS Float additive

0DSLCBD TOTAL BASELINE-DOLLARS Amount additive

0DSLCNPU NO PROMO UNITS Integer non-additive

0DSLCNPE NO PROMO EQU - OUNCE BASIS Float additive

0DSLCNPD NO PROMO $ Amount additive

0DSLCAPU ANY PROMO UNITS Integer non-additive

0DSLCAPE ANY PROMO EQU - OUNCE BASIS Float additive

0DSLCAPD ANY PROMO $ Amount additive

0DSLCFU ANY FEAT W/O DISP UNITS Integer non-additive

0DSLCFE ANY FEAT W/O DISP EQU - OUNCE BASIS Float additive

0DSLCFD ANY FEAT W/O DISP $ Amount additive

0DSLCDU ANY DISP W/O FEAT UNITS Integer non-additive

0DSLCDE ANY DISP W/O FEAT EQU - OUNCE BASIS Float additive

0DSLCDD ANY DISP W/O FEAT $ Amount additive

0DSLCFDU ANY FEAT AND DISP UNITS Integer non-additive

0DSLCFDE ANY FEAT AND DISP EQU - OUNCE BASIS Float additive

0DSLCFDD ANY FEAT AND DISP $ Amount additive

0DSLCPDU PRICE DECR UNITS Integer non-additive

0DSLCPDE PRICE DECR EQU - OUNCE BASIS Float additive

0DSLCPDD PRICE DECR $ Amount additive

0DSLCPDPA PRICE DECR %ACV/STR Float non-additive

0DSLCPDBU PRICE DECR BU Integer non-additive

0DSLCPDBE PRICE DECR BEQU - OUNCE BASIS Float additive

0DSLCPDBD PRICE DECR B$ Amount additive

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Nielsen data are read into the BW as plain numbers without any dimension. The amounts are fixed to the US-dollar.

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0DSLCSU Sales Dollar

0DSCLAPD Any Promo $




0DSLCFDD Any Feature and Display

0DSLCPDD Price Descrease $

0DSLCPACV % ACV (Store Selling)

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0DSLC_BT ACN-US SLC Brand

0DSLCPER ACN-US SLC Period

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0DSLCMKT ACN-US SLC Market

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0DSLCAPD Any Promo $

0DSLCPDD Price Decrease $

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0DSCLAPD Any Promo $

0DSLCFDD Any Feature and Display

0DSLCPDD Price Descrease $

0DSLCPACV % ACV (Store Selling)

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