leveraging cmm and six sigma francesca pratt march 11, 2003 payment solutions sepg

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Leveraging CMM and Six Sigma Francesca Pratt March 11, 2003 Payment Solutions SEPG

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Page 1: Leveraging CMM and Six Sigma Francesca Pratt March 11, 2003 Payment Solutions SEPG

Leveraging CMM and Six Sigma

Francesca Pratt

March 11, 2003

Payment

Solu

tions

SEPG

Page 2: Leveraging CMM and Six Sigma Francesca Pratt March 11, 2003 Payment Solutions SEPG

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Objectives

Describe the importance for aligning the CMM and Six Sigma for First Data

Provide a basic understanding of how the CMM and Six Sigma support each other

Provide examples of how a First Data’s IT organization is integrating the initiatives

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Background

Payment Solutions (IT) introduced its CMM Initiative in 1999

– Focus was to merge the multiple cultures and processes from several IT organizations that were acquired into one organization

– To be able to determine capability of the organization to meet the business needs

– Achieved Level 2 in October 2001– Next formal assessment scheduled for September 2003 for

Level 3

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Background

First Data introduced the Six Sigma Initiative in 2000 to build a premiere organization – Measurement is its foundation that determines the

success and focus for the organization– Focus on Customer Values (Voice of the Customer) and

how to deliver – Work to ensure value is delivered when needed and

continuously improve our ability to do so

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Background

To be successful with the CMM Initiative the following needed to be addressed: – Need to market the CMM at the corporate level to

address the perception of conflicting initiatives– Need for strong Senior Management to fight off and

maintain the CMM Initiative

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CMM vs. Six Sigma

CMM is: – A common-sense application of process management

and quality improvement concepts to software development and maintenance

– A community-developed guide– A model for organizational improvement– The underlying structure for reliable and consistent

CMM-based appraisal methods

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CMM vs. Six Sigma

CMM has evolutionary paths that increases an organization’s software process maturity in stages– These stages are ordered so that improvement at each

stage provide a foundation on which to build improvements undertaken at the next stage

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CMM Capability Levels

Defined (3)

Optimizing (5)

Rpeatable (2)

Initial (1)

Managed (4)

Performed

Measured

Standard

Planned and TrackedDisciplinedProcess

StandardConsistentProcess

PredictableProcess

ContinuouslyImprovingProcess

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CMM vs. Six Sigma

Six Sigma is:– A business process that allows companies to drastically

improve their bottom line by designing and monitoring everyday business activities in ways that minimize waste and resources while increasing customer satisfaction

– It provides specific methods to re-create the process so that defects and errors never arise in the first place

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CMM vs. Six Sigma

Six Sigma is:– Is a disciplined process of applying business problem solving tools– The acronym DMAIC provides the sequence which is the heart of

the Six Sigma Method

Define - the business opportunity Measure - the process current state Analyze - determine root cause Improve - eliminate waste and variation Control - evidence of sustained results

Page 11: Leveraging CMM and Six Sigma Francesca Pratt March 11, 2003 Payment Solutions SEPG

Collect baseline data on defects and

possible causal factors

Plot defect data overtime and analyze for

special causes

Describe currentprocess

Do Pareto analysis(if appropriate)

Create & stratifyfrequency plots

Validate the Measurement System

efineefine

0

1000

-1000

10 20 30

UCL

X

LCL

1. Determine number of defect opportunities O = per unit

2. Determine number of units processed N =

3. Determine total number of defects D = made (include defects made and later fixed)

4. Calculate Defects Per Opportunity DPO= =

5. Calculate Yield Yield = (1-DPO) x 100 =

6. Look up Sigma in the Process Sigma Table Process Sigma =

D

N x O

1

5000

250

.05

95%

3.2

Measure the Current SituationMeasure the Current Situation

Data Collection Plan Project ________________________What questions do you want to answer?

Data Operational Definition and ProceduresWhat Measure type/

Data typeHow

measured 1

Related conditionsto record 2

Samplingnotes

How/where recorded(attach form)

Notes1) Be sure to test and monitor any measurementprocedures/instruments.2) “Related factors” are stratification factors or potentialcauses you want to monitor as you collect data

How will you insure consistency and stability? What is your plan for starting data collection?(attach details if necessary)

How ill the data be displayed? (Sketch below)

A C DB

©2000 Oriel Incorporated. All Rights Reserved.

DMAICRoad MapDMAICRoad Map

easureeasure

Develop charter

Understand the Voiceof the Customer

Purpose Importance Scope

S U P P L I ER S

C U S T O M E R S

OutputsInputs Process

Define the ProjectDefine the Project

Map the process

Analyze

Improve

Control Define

MeasureManufacturing

Service

Government

Hypothesis Testing

Draft charter

Discuss/revise charter

Sponsor Team Leader Team Members

Review & approve charter

Select project

Coach

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nalyzenalyze mprovemprovemprovemprove

Collect new data on indicator measured in

Step 2 (Current Sit.)

Redraw relevant Before and After plots

Quantify the benefits of the improvement

Evaluate methodsand results; determine

appropriate actions

Before After

Step 4 changes implemented

} Improvement

Target} Remaining Gap

Good

Time

$$

Improve: Evaluate ResultsImprove: Evaluate Results

TrainingCurriculum

TrainingManual

Control: Standardize Effective MethodsControl: Standardize Effective Methods

Train

Develop anddocument standard

practices

Ongoing monitoring

Build process for updating procedures

Communicate toothers in theorganization

Summarize learnings

Makerecommendations

for future plans

Learnings

Recommendations

Results

next

Plan

DoCheck

Act

Control: Communicate Results& Future PlansControl: Communicate Results& Future Plans

Develop a focused problem statement

Brainstormpotential causes

Statistical methodsto quantify cause-

effectrelationships

Collect data to verify selected causes

Organize potentialcauses

Analyze CausesAnalyze Causes

Effect

Cause

Cause

Female

60

B

Gender

Script

AgeMale

A

20

Made the Sale

Did Not Make the Sale

Time With Customer

(in minutes)

5 10 15 20 25 30 3 5 40 45 50 55 60 >60

5 10 15 20 25 30 3 5 40 45 50 55 60 >60

Hypothesis TestingY

X

Scatter Plots and Regression Analysis

ontrolontrol

Brainstorm many possible solutions toidentified root causes

Identify & weightcriteria

Evaluate (rank)solution alternatives

Select one ormore alternatives

Develop plans

Pilot thenimplement plans

ProblemRoot

CauseCounter- measure

Reduce Call Transfers

Update extension lists

ID

1

2

3

4

5

6

7

8

9

Dept supv. update job responsibility lists

Mark responsibilities on phone ext. list

Update names and extension numbers

Revise auto-attendant

Assemble team

Examine data

Decide what options should be given

Pilot and test new language

Task Name 5/31 6/7 6/14 6/21

MAY JUNE

6/28

Calvin, Max, Sheryl

Maria

Maria

Calvin

Team, TBD

Team, TBD

FMEA AnalysisProject: _____________________ Team: _____________________

Date ___________ (original) ___________ (revised)

Item or Process

Step

Potential Failure Mode

Potential Effect (s) of Failure

Potential Cause(s)

Current Controls R

PN

Recommended Action

Responsibility and

Target Date Action Taken

Sev

erity

Occ

urre

nce

Det

ectio

n

RP

N

“After”

Sev

erity

Occ

urre

nce

Det

ectio

n

Total Risk Priority Number = “After” Risk Priority Number =

Plan

DoCheck

Act

Improve: Implement SolutionsImprove: Implement Solutions

©2000 Oriel Incorporated. All Rights Reserved.

Verify Root Causes

Experiment

Trial implement

Collect additional data

Value-Added Cost-Added Only

0

1000

-1000

10 20 30

UCL

X

LCL

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CMM vs. Six Sigma

CMM

Identifies process improvement opportunities for a specific organization

Senior Manager is the sponsor SEPG Manager is the project manager

for all process improvements Focus on analyzing, mapping,

improving, and measuring in the organization as a whole

Timeframe is 2-3 years for each level rating

Primary goal is continuous process improvement with results contributing to reduction in cycle time and reduction in defects

Six Sigma

Identifies a specific opportunity for improvement

Champion is the business owner and sponsor

Blackbelt is the project manager of a specific improvement project

Greenbelt is a subject matter expert Focus on analyzing, mapping,

improving, and measuring the one specified process

Timeframe is 4-6 months for a project Primary goal is $$$ saving

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CMM vs. Six Sigma

Leveraging Opportunities– Level 3 organizations establish process standards that

are the foundations to begin to measure process effectiveness and can use the Six Sigma measurement tools to collect and analyze the data

– Process mapping are tools used in both – Six Sigma methodology can be used to achieve CMM

Level 4 goals and activities

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Applying Six Sigma

Process Management– Analyze data to determine

process improvement opportunities

– Apply the DMAIC lifecycle to determine root cause and solution

– SEPG required skill is Six Sigma methodology which is achieved via Green Belt certification

SEPGDocumented Processes

Metrics & Measures

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InputsDetail

Process Steps

Outputs

Six Sigma – SIPOC standard

Documented Processes

Process Mapping– Adopt the SIPOC standard for mapping the

organizations standard processes – Establishes the foundation for the DMAIC

lifecycle and supports common terminology between the CMM and Six Sigma Initiatives

Applying Six Sigma

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Applying Six Sigma

Leverage Six Sigma Methodology to align to the corporate initiative and achieve Level 4 (without even trying)– At Level 3, measurements have been

defined and collected systematically– At Level 4, decisions are made based on data collected

Common measurement Data analysis

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Applying Six Sigma

Six Sigma Methodology addresses the Key Process Areas for Level 4– Software Quality Management– Quantitative Process Management

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Applying Six Sigma

Quantitative Process Management KPA– Purpose is to control the process performance of the

software project quantitatively– Involves:

establishing goals for process performance measuring the performance of the project analyzing these measurements making adjustments to maintain process performance within

acceptable limits

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An important concern is identifying variations in performance that are not within the normal range of process performance

– “extraordinary” events outsidethe bounds of process capability

Applying Six Sigma

Control Chart With Special Causes

Identifythe problemin the process

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Applying Six Sigma

Taking Corrective Action at Level 4– Quantitative Process Management focuses on the process– Process capability is quantitatively known– When performance falls outside the limits

identify the reason take corrective action when appropriate

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Applying Six Sigma

The Meaning of Quantitative Control – Quantitative Control in the CMM implies any

quantitative or statistically based technique– The words “statistical” and “quantitative” imply data– Data reflect facts– Fact-based management results in objective decisions

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Applying Six Sigma

Basic Statistics– Quantitative, or statistical, techniques

need not be sophisticated to be useful– Pareto analysis, for example, is fairly simple– Quantitative techniques do require

measurable data consistent data collection defined, comparable measurements

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Applying Six Sigma

Software Quality Management KPA– Purpose is to develop a quantitative understanding of the

quality of the project’s software products and achieve specific quality goals

– Involves defining quality goals for the software products establishing plans to achieve these goals monitoring and adjusting software plans, software

work products, activities, and quality goals to satisfythe needs and desires of customer and end-user

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Applying Six Sigma

Building High-Quality Products– Software Quality Management focuses on the product– Measurable quality goals for the product are defined– The product is “ready” when the goals are achieved

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Applying Six Sigma

Quality Evolves– At Level 2, the focus of quality is “conformance to

requirements”– By Level 4, there is an emphasis on understanding the

needs of the– customer– end users– organization (supplier)

– Ultimately, the customer determines what quality is or is not

– Total Quality Management revolves around customer satisfaction

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Applying Six Sigma

Other areas that are being addressed: – Developed a standard SDLC to support the Six Sigma

Methodology when the solution involves technology– Leveraging the “Voice of the Customer” methods to

improve the current requirements process

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Summary

CMM and Six Sigma are not conflicting methodologies

CMM Level 3 provides the foundation for integrating Six Sigma in an efficient manner

Using the Six Sigma methodology supports CMM Level 4

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Questions ??

[email protected]