NO DATA, NO PROBLEMFind Out WHY this METHOD Has Been a Hit on Social Media TodayAND Published in Quality Digest Daily

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Our Data Collection Technique Has An Impressive Track Record

1. Client had over 500 mostly manual activities, processing time of 28 days and quality issues. In 60 days, designed a new process that was capable of processing in 5 days, cost savings of 1.5 million dollars per year, reduction in defects by 80% and ROI of 400%.

2. Client had long, manual and complex processes, its client satisfaction was low , mounting financial pressures and no visibility into the process performance. Identified a solution to eliminate all non value added activities, save 1.25 million dollars per year, simplify the application and back end processing and put in place end-to-end performance measures and scorecards.

3. Client had significant variations in productivity, significant cost over runs, and no visibility into performance. Identified a new optimized process, savings of 4 million dollars per year and significantly reduced variations in productivity.

“Kyle identified over $2M in process improvements for two major order-to-cash processes. Kyle aligned these improvements to new corporate strategies and helped develop the business case to have these improvements implemented. Kyle is innovative, driven to produce high quality results, and has proven to be an excellent investment.”

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Selected Case Studies and Testimonial

Our Data Collection Framework is 5 Easy Steps

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5. RECALIBRATE DATA

4. VALIDATE DATA WITH A PROCESS SIMULATION MODEL

3. CREATE DATA COLLECTION FORMS

CREATE MANUAL DATA COLLECTION FORMS, TRAIN EMPLOYEES AND RUN A TRIAL

2. CREATE RANDOM STRATIFIED SAMPLE

SELECT SAMPLE OF PEOPLE TO COLLECT DATA FOR 10 DAYS

1. CREATE DATA DICTIONARY

CREATE TIME, COST AND QUALITY DATA REQUIREMENTS ACROSS THE VALUE STREAM

INPUT DATA INTO SIMULATION MODEL AND COMPARE MODEL OUTPUT WITH ACTUALS

ADJUST ESTIMATES

Know Exactly What To Measure and How

4

Activity #

Activity Time Metric

Volume Metric

Cost Metric

Quality Metric

Time MetricSource

Volume MetricSource

Cost MetricSource

Quality MetricSource

1 Verify applications

Time to verify

# of applications received

Cost perapplication received

% applications not verified within standard

Manual Data Collections

Database SAP and manual data collections

Manual data collections

2 Request missing information

Time to request information

Number of requests made

Cost per request

# of requests made past time standard

Manual Data Collections

Database SAP and manual data collections

Manual data collections

3 Enter application data in database

Time to enter data

Number of key strokes per application

Cost perapplication entered

Error rate per opportunity

Manual Data Collections

Database SAP and manual data collections

Manual data collections

The data dictionary includes all activities and decision nodes in the process

Data Dictionary

Create Data Collection Forms That AreEasy to Use and Complete

5

Data Collection Form for Company X (Sample)

Background

During the month of [MONTH], time measurement and other process data will be collected for a period of 10 days. The information collected will assist in the development of new, and more efficient/effective processes. Your cooperation is very much appreciated and valued.

For each form , please record the following information:

Initials Activity Time In Time Out Error Type Comments

Employee ID: Application ID: Application Type:

Stratified Random Samples that Assure High Quality Data Collection

Register for our webinar to find out more

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95% Confidence in the Quality of the Collected Data

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Region Activity MeasuredTotal number of processing

hours

ASimple Case 1,976

Complex Case 388

B Simple Case 2,275

Complex Case 662

CSimple Case 7,217

Complex Case 1,786

DSimple Case 2,276

Complex Case 436

E Simple Case 7,814

Complex Case 2,585

Total 28,032

Region Activity MeasuredTotal number of

processing hours

ASimple Case 1,965

Complex Case 443

BSimple Case 2,214

Complex Case 750

CSimple case 7,639

Complex case 2,081

DSimple Case 2,527

Complex Case 404

ESimple Case 8,082

Complex Case 2,936

Total 29,319

Simulation Model ResultsUsing Data Collected

Actual Results

4.4%Variance

Do you know how accurate is your data, in terms of time, quality and cost? You can NOW!!

Identify Important Cost Drivers in the Process

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17% 17%

13%12%

6% 6% 5%

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

Visual Check of Raised Money Order on IDC or actual trays of

paid mone

Analyzing Counterfeit Client Service Enquiries and Advice

Protection unit responds to email enquiry

Download Ross data to an access file

Corporate Security Requirements

Prepare fraudulent adjustment charge back

Top Activity Costs for Protection Unit

Break Down of Percentage Costs for Checking Raised Money Order on IDC or actual tray

Identifying raised=12%Keying riteria for image ranges=1%Printing/writing LOC # on raised=1%

Locating Raised in Tray=3%Raised-Pull,Stamp,Cut,Replace=52%

Filing=5%Faxing =3%

Some costs, e.g. overhead and IT costs , allocated across activities

Distribution of Activity Costs

A B C D E F G

Activities

Do you know which activities are costing you the most?

You can NOW!!

Benchmark and Compare Critical Process Measures Like Never Before

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Processing Time Per Product By Product For Region A (Minutes)

Product Types (W,X,Y,Z)W X Y Z

ComplexProduct

SimpleProduct

Processing Time Per Product By Product For Region B (Minutes)

W X Y Z

Processing Time Per Product By Product For Region C (Minutes)

W X Y Z

Processing Time Per Product By Product For Region D (Only Simple Products) (Minutes)

W X Y Z

Product Types (W,X,Y,Z)

Product Types (W,X,Y,Z) Product Types (W,X,Y,Z)

ComplexProduct

SimpleProduct

ComplexProduct

SimpleProduct

Do you know which region, process, etc is the most efficient?

You can NOW!!

Advanced Statistical Modelling to Establish Performance Standards

Determination of Distribution Type

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Probability Plot of Processing Times by Batch Size

Do you know if your resource allocation standards are optimal?

You can NOW!!

Report Critical Time, Quality and Cost Performance Measures that Matter

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Key Findings Estimate Unit of measure Order Volume

22,405 Average per day

Number of Resources

9.5 Employees

Processing Costs

$349K $/Per year

Resource Costs

$535K $/Per year

Total Cycle Time

8 hours Hours

Lead Time

16 hours Hours

Perfect Order 79% % orders

Defects/1000 210 1000 orders

Defect Costs/order $0.6

Definitions and Explanation

OOrrddeerr VVoolluummee: Average number of orders received over the period from X to Y, 20XX.

NNuummbbeerr ooff rreessoouurrcceess:: estimated number of resources used to process orders.

PPrroocceessssiinngg CCoossttss:: Estimated processing costs (resource costs only) per year to process pmoney orders.

RReessoouurrccee CCoossttss:: Estimated resource costs paid per year for to process orders.

TToottaall CCyyccllee ttiimmee:: Average time to process an order.

TToottaall LLeeaadd TTiimmee: Average time from when works enters a process until the time it leaves.

PPeerrffeecctt OOrrddeerr:: Percentage of Orders that go through the process without manual intervention.

DDeeffeeccttss//11000000:: Number of order documents that require modification before work can pass onto the next activity per 1000 orders.

DDeeffeeccttss CCoossttss//OOrrddeerr:: Average cost for correcting a defect per order.

Are you having difficulty obtaining the right metrics? Well, that can soon be a problem of the past

Establish Various Cost Savings and Performance Improvement Scenario

Scenario 2 – Implementing Technology X Implement technology X from converting paper to electronic format

Assumptions:

1) 99% of the files are successfully converted and 1% of the files must be entered by hand.

4,261 reduction in Process hours

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Region

Work effort for Activity A

(Hours) Work effort for

Activity B (Hours)

Work effort for Activity C

(Hours) Work effort for

Activity E (Hours)

Work effort for Activity F (Hours)

Work effort for Activity G

(Hours)

Work effort for Activity H

(Hours) Total Hours

from Scenario

Total Hours from Base

Case

Reduction in Hours from

Implementing Scenario

A

136

1,942

190

75

24 1 80 2,449 2,655 206

B

143

2,130

201

79

20 1 84 2,659 2,800 141

C

406

7,136

1,353

224

152 9 240 9,519 12,000 2,481

D

201

2,667

281

111

82 6 119 3,467 3,600 133

E

485

8,030

1,616

267

16 0 286 10,700 12,000 1,300

Total

1,371

21,905

3,641

757

294

17 809 28,794 33,055 4,261

How confident are you in your projected savings and performance improvement from your projects?

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