Sue HaySr Product Manager, Information Management28-January-2009

SAP® BusinessObjects™Data Quality Management, versionfor SAP Solutions, XI 3.1version 12.1.0

Behind Every Business and IT Initiative …Reality

Challenge #1:

Where is thedata?

Challenge #1:

Where is thedata?

Challenge #2:

Why are thereerrors in the data?

Challenge #2:

Why are thereerrors in the data?

Challenge #3:

How current is thisinformation?

Challenge #3:

How current is thisinformation?

Challenge #4:

Where did thisinformation come from?

Challenge #4:

Where did thisinformation come from?

Disparate Data

DisparateBusinesses

DisparateApplications

?

© SAP 2009 / Page 2

TDWI Data Quality Survey

Sources of Data Quality Problems

12%

25%

26%

34%

46%

48%

53%

76%

Other

Data entry by customers

System errors

External data

Mixed expectations by users

Data migration or conversion projects

Changes to root/source systems

Data entry by employees

Based on 632 respondents who could select multiple answers.The Data Warehousing Institute, March 2007.

© SAP 2009 / Page 3

Data Quality And The Information Supply Chain

Where Data is Currently Cleaned

16%

37%

48%

60%

63%

Do nothing

Prevent defects atthe source

Identify errors inreports

Fix downstream

Fix at the source

Information Supply Chain

MktgCmpgn

WebLog-Ins ODS Call

CenterCRM/CDI

ReportsBIEPM

© SAP 2009 / Page 4

The Cost of Poor Quality Data

Symptoms Impact

Sales /Marketing

•Low customer satisfaction•Many address change requests•No trust / agreement in reporting

•Customer churn•Excessive mailing expense•Opportunity cost of lost sales

Finance•Budgets take forever to get “right”•Big budget/actual discrepancies•No trust / agreement in reporting

•Budget overruns•Out-of-control expenses•Fines and possible jail time

SupplyChain

•“Out of Stock” situations•Poor-quality products•No trust / agreement in reporting

•Reduced top-line revenue•Excessive shipping expense

IT•Large IT projects fail•No usage of applications•No trust / agreement in reporting

•IT investments wasted•IT productivity remains low

© SAP 2009 / Page 5

How Does Data Quality Fit within the Enterprise?

© SAP 2009 / Page 6

SAP Business Objects is a Market Leader InData Quality

Challengers Leaders

Niche players Visionaries

Completeness of vision

Abili

ty to

exe

cute Market Leader

Magic Quadrant for Data Quality ToolsSource: Gartner, June 2008

© SAP 2009 / Page 7

Copyright © 2006 Business Objects S.A. All rights reserved.

Business Objects’ Cleansing andEnhancement Capabilities for Party Data:

Multi-line Input record Output record

Data parsed into individualcomponents

Maggie.kline@future_electronics.comMargaret Smith-Kline phdFUTURE Electronics5/23/03101 6th aveManhattan ny10012001124367

Salutation: Ms.First name: MargaretLast name: Smith-KlinePostname: Ph. D.Match standards: Maggie, Peg, PeggyGender: Strong FemaleCompany name: Future ElectronicsAddress 1: 101 Avenue of the AmericasCity: New YorkState: NYZIP+4: 10013-1933Email: maggie.kline@future_electronics.comSSN: 001-12-4367Date: May 23, 2003

Casing andstandardization

Corrections

Enhancements

© SAP 2009 / Page 8

© SAP 2008 / Page 9

Ms Margaret Smith-Kline Ph.D.Future Electronics* 101 Avenue of the AmericasNew York NY 10013-1933maggie.kline@future_electronics.comMay 23, 2003; E3 Stamping Machine

Name: Ms. Margaret Smith-Kline Ph.D.Company name: Future Electronics Co. LLCSSN: 001-12-4367Address: 101 Avenue of the AmericasCity, State, ZIP: New York, NY 10013-1933Latitude: 40.722970Longitude: -74.005035Phone: (222) 922-9922Email: maggie.kline@future_electronics.com

Purchase history:5/23/03; E3 Stamper, $1,300,000

10/21/04; A1 Injector, $520,0006/30/05; C2 Fabricator, $23,000,000

Input record variations

Complete master record

* Maggie SmithFuture Electronics Co. LLC101 6th Ave.Manhattan, NY 10012maggie.kline@future_electronics.com001-12-436730-6-2005; Fabrication Facility class C

Ms. Peg KlineFuture Elect. Co.101 6th Ave.* New York NY 10013001-12-4367(222) 922-992210/21/04; Victory Injection Molder

Clean, Consistent Data sets the stage toIdentify Potential Duplicate Records

Why do Customers purchase Data QualityManagement for SAP Solutions?

DQ Mgmt for SAP provides a prepackaged native integration of dataquality best practices within the SAP environment

Enforces data discipline directly within SAP CRM or ERP systems– No extracts for external processing required

Virtually undetectable presence that provides:– Global address correction and standardization– Comprehensive duplicate detection– Convenient record searching

Faster time to ROIDelivers proven results

Automatic cleansing and matching increases efficiency and ensures there isconsistency across the enterprise. A single accurate 360o view of each customer,vendor, or business partner supports all business processes.

© SAP 2009 / Page 10

Data Quality Management provides ImmediateResults

Data Cleansing enhances productivityParsing corrects misfielded data – enables better matching – ensuresstandardizationEntry is Cased – no need to retype / correctAddress reference data is regularly updated – for 234+ countries

User is Prompted with Address AlternativesInteractive drill-downs prompt the user, when conflicting possibilities exist at entry

Duplicate Checks and Fuzzy Matching ensures integrityPrevent duplicates during data entryFuzzy matching allows for variances in data entry

© SAP 2009 / Page 11

Data Enhancement and Duplicate DetectionExtends Value

Elements are completed for the UserMinimal address data is entered – the rest is populated

Eliminates lost deliveries or returned mailSaves transportation and postage costsDelivery Point Validation (option) enables sure delivery

Opportunity for Data EnrichmentGeoCodes (option) returned with latitude/longitude values, etc.

Identify relationships between records, result codes are appliedsupporting analysis tasksSignificantly reduces manual research time to identify potential duplicatesMetrics are available for analysis

© SAP 2009 / Page 12

Where does Data Quality Management livewithin SAP?....

SAP User Interfaces retain native look and feelAll cleansing and matching is invoked ‘behind the scenes’

SAP CRM 2007– New Web Clients: Real-Time Data Entry

– Interaction Center Web Client– CRM Web Client

– SAP GUI: Back-Office Batch Processing

SAP ECC 6– SAP GUI: Real-Time and Batch Processing

SAP CRM 5, ECC 5, R/3 4.7– SAP GUI: Real-Time and Batch Processing

Data Services XI 3 is the Central Platform for Data QualityData Quality Management Premium XI 3.x

© SAP 2009 / Page 13

SA

P C

lient Interfaces

How does Data Quality Management workwith SAP?

Business

Address

Services

Gatew

ay

Application Server

/FLDQ/

SAPDB

SAP CRM or ECC

RFCServer(s)

RFC2

RFC3

RFC1

DataServices

XI 3.1Data QualityManagement

CentralRules

Repository

PostalValidationRef Data

Our Data Cleansing (PV) and Matching (DES) works within SAP’s User Interfaces via BAS

BO

BJ B

AdIs

for PV

+ DE

S

Let’s see some software!

Page 16

*MNC = multinational corporation

What Type of Data is Most Problematic?

Data types that are most susceptible to data quality problems:

Customer data 74%Product data 43%Financial data 36%Sales contact data 27%Data from ERP systems 25%Employee data 16%International data in a MNC* 12%Other : 10%

Unlock the Hidden Meaning within your Data!

CustomersHow to up sell the most profitable customersHow to retain the best customers

VendorsReducing excess inventory expensesLeverage economies of scale for purchasingdiscounts

Business IssuesReducing time it takes accounting to closebooksIncreasing the accuracy of tax jurisdictionassignment

SLIDE 17

Data Quality Management, version for SAPSolutions…

Provides an out-of-the-box data quality solution for enterprise softwareimplementations of SAP CRM and SAP ERP.

Brings data quality capabilities to SAP CRM and ERP on your terms.Native look & feel.

Accelerated deployments quickly add value to SAP enterprise applicationinvestments.

Data is accurate from the point of entry, preventing downstream issues andefforts to resolve.High confidence in source data translates into high confidence in reportcontents and analytics.

© SAP 2009 / Page 18

© SAP 2009 / Page 19

Thank you!

For Additional Information…

Data Quality Management Solutions:http://www.sap.com/usa/solutions/sapbusinessobjects/large/intelligenceplatform/im/data-quality-management/dqm/index.epx

SAP Community Network: https://www.sdn.sap.com/irj/boc/im

© SAP 2009 / Page 21

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