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CMC Limited A TATA Enterprise 1 The Performance Metrics Dashboard – A Powerful Executive Management Tool Presented at The IFPUG 2004 Annual Conference September 23, 2004 By Nita Sarang Technical Consultant & Chief Quality Manager
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Page 1: PPT - The Performance Metrics Dashboard – A Powerful ...

CONFIDENTIALCMC LimitedA TATA Enterprise 1

The Performance Metrics Dashboard – A Powerful Executive

Management ToolPresented atThe IFPUG 2004 Annual Conference

September 23, 2004

ByNita Sarang

Technical Consultant &Chief Quality Manager

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Objectives

• The Performance Metrics Dashboard Concept• The Dashboard Design• Dashboard Implementation• Business Value Obtained• Critical Success Factors• Common Pitfalls

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The Dashboard

A simple way for executives to monitor key performance metrics from across the business

• Visual representation of key business areasWarning lights to signal the current status of key business areas being monitored – green, yellow, red status

• Targeted to CEOs, managers, and anyone else in the company

Contextual usefulness (interpretation) of data/performance results (role-based dashboards)

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Why a Dashboard?

• A well-proven performance management practice – provides an organization wide perspective of business performance across multiple dimensions.

• Business objectives/goals and management expectations are clearly articulated

• Standardize data sharing and performance measurement practices – brings all performance data from various sources and locations before the decision makers.

• Serves as a performance diagnostic tool – facilitates decision on fact rather than judgmental inference.

contd…

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Why a Dashboard? contd…• Establishes a platform for business and

operational excellence – uses performance metrics to drive productivity

• Directs process improvement efforts – converts business data into action-oriented information; helps coordinate actions amongst diverse stakeholders and align execution with strategic goals

• Establishes the foundation for benchmarking organizational processes – through goal alignment across the organization

Align People, Implement Strategies, and Measure Performance

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The Performance Management Model

1. Projects/Services/Technology Plans/Other Plans

1. Action Plans/Milestons2. Execution of Plans

1. Assess Change Readiness2. Establish Mission/Vision3. Establish Corporate Objectives/Goals

D A S MH EB TO RA I R CD S

TrackOutcome

Where we need to go…

How we will get there…

How we will knowwe are getting there…

Targets

MeasuredData

Performance

Analysis

Monitoring trigger / cyclePerformance management

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The Dashboard Design

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Requirements of a Dashboard• Identification of Key Performance Indicators (KPIs)

Reflect the Management PhilosophyTargets all levels of the organizationSummarization at various levels – Organization /Department /Division /Business Area (IP/SP)Drill down through the connecting levels and links of the key business area

• Categorize information / identify data sourcesCRM systemsProjectsFinance & Accounts

• Target setting• Review mechanisms and cycle• Proactive correction through recommendations based on

current performance and trends

Weekly, fortnightly, monthly, quarterly, half-yearly

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Dashboard Perspectives

•Financial PerformanceBusiness resultsMarket growthSales force performanceStrategic partnerships

•Customer ServiceCustomer satisfactionCustomer retention

•Learning and GrowthOrganizational effectiveness (survey)Technology penetrationTraining alliances

•InternalProject performance (Quality)Business excellence enablers

A balanced scorecard approach

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Target Setting - Business Objectives

•Financial PerformanceRevenue/BDE/ProfitabilityRevenue from new customersVA/pmRevenue from overseas projects

•Customer ServiceCustomer satisfactionCustomer retention

•Learning and GrowthAdvanced certification for EmployeesR&D projects/yearReusable component/project

•InternalTest EffectivenessAttritionSalary World Class InfrastructureManpower UtilizationSchedule Slippage

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Typical Performance Indicators

•FinancialSales Performance – Target vs Achievement

Sales Productivity –Prospect Conversion Ratio, Cycle Time

Business from New Customers/Total Revenue

Revenue from Acquired Strategic Partnership

•CustomerCustomer Satisfaction Index

Customer Retention Index

Rolling 12 month Outstanding to Revenue Ratio

contd...

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Typical Performance Indicatorscontd..

•Internal

Productivity

Defect Density

MTTR/MTTS

Manpower Utilization

Employee Satisfaction Index

Training Effectiveness

Schedule Variance

Effort Variance

•Learning and Growth

Number of professional certifications in line with business strategy

Number of R&D products and revenue from such products

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Dashboard Implementation

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Pre-requisites

• Clearly articulated organization objectives• Organizational Measurement Program• Quantitative management insight – statistical

analysis and interpretation• Basic technology infrastructure

Fixed data sources, access and consolidation mechanismsPerformance results publishing

Sound measurement and improvement processes

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Dashboard Implementation

• SimplisticEasily usable, adaptable and accessible

• Defining the rules for access/update• Live data feeds / real-time data• Ownership for data• Data analysis (also includes trends)• Organization performance baselines

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Key Players

• Executive Management• Senior Management• Sales Manager(s)• Project Manager(s)• Test and QA Manager(s)• Data Manager(s)

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Dashboard Evolution

• Initiated for systems engineering processes• Spread to sales processes• Enhanced for business (financial) perspective

• Driven by A need for strong internalization of processesQuick ROI – aligned with PI initiatives CMMI/ITIL/Six Sigma/CMMIAvailability and maturity of dataUsefulness of dataMaturity in quantitative analysis

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Data Evolution

• Disparate data (and sources)• Reactive analysis based on performance• Data normalization techniques• Standardization of data (and sources)• Automated through systems• Proactive analysis through targets

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Power of the Dashboard

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1%19%

1%

38%

30%

11%

POWER

BANKING & FINANCE

TRANSPORT

DEFENCE

e-GOVERNANCE

OTHERS

IP Wise – Sales 2003-2004

Need… transport and power sector need to be reviewed

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Sales Rep Performance 2003-2004

•17%

•13%

•8%

•6%•4%•2%•1%•0%•1%•11%

•32%

•5%

•Rep 2•Rep 3

•Rep 1

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IP Wise – Rev-VA 2003-2004

2%13%

3%

31%

46%

5%

POWER

BANKING & FINANCE

TRANSPORT

DEFENCE

e-GOVERNANCE

OTHERS

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Regional Performance : 2003-04

•Quarters 2003-04

•0

•200

•400

•600

•800

•1000

•1200

•1400

•1600

•1 •2 •3 •4

•Val

ue

•Sales•Sale VA•Revenue•Revenue VA•Linear (Revenue)•Linear (Revenue VA)

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Drill-down – Location 1 / Quarter-wise Performance : 2003-04

•Quarters 2003-04

•0

•50

•100

•150

•200

•250

•300

•350

•1 •2 •3 •4

•Val

ue

•Sales•Sale VA•Revenue•Revenue VA•Linear (Revenue)•Linear (Revenue VA)

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•Quarters 2003-04

•0

•50

•100

•150

•200

•250

•300

•350

•1 •2 •3 •4

•Val

ue

•Sales•Sale VA•Revenue•Revenue VA•Linear (Revenue)•Linear (Revenue VA)

Drill-down – Location 2 / Quarter-wise Performance : 2003-04

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Drill-down – Location 3 / Quarter-wise Performance : 2003-04

•Sales•Sale VA•Revenue•Revenue VA•Linear (Revenue)•Linear (Revenue VA)

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Qtr-wise Sale Plan

•Quarters 2003-04

•0

•200

•400•600

•800

•1000

•1200•1400

•1600

•1800

•1 •2 •3 •4

•Val

ue

•Defence•E-Gov•Transport•BFSI•Others

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Revenue Generation

•17%

•12%

•38%

•13%

•20%

•Carry Fwd•Private•Govt•Intl-Products•Intl-PP

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Revenue Generation

•0

•200

•400

•600

•800

•1000

•1200

•CF •Sector1 •Sector2 •Sector3

•LOC1

•LOC2

•LOC3

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•0%

•10%

•20%

•30%

•40%

•50%

•60%

•70%

•80%

•90%

•100%

•CF1 •CF2 •CF3 •CF4

•L1 PP•L1 Rev

•L2 Rev•L2 PP•L3 Rev•L3 PP

CF Revenue versus PP Deployment

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Productization R&DNew Products Dev

Volume TradesTally

Position

Cost To ServeLOW HIGH

LOW

HIGH

Time to Exit?Reduce Costs

Earnings versus Cost

Earnings

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Customer Analysis

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Customer Satisfaction Index

1

24

56

9107

3

8

404550556065707580859095

100105

MCL=85.00

Customer Satisfaction

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Test Effectiveness

8

3

7

13

12

11

10

96

54

2

1

80

82

84

86

88

90

92

94

96MCL=95

UNPL=92.54

Median=89.13Mean=89.01

LNPL=85.72

Test Effectiveness

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Schedule Variance

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General Benefits

• Focus on key business processes• Transparency of operations and visibility to

Executive Management• Facilitates goal alignment across the organization

through coherent action plans• Induces peer pressure and healthy competition• Facilitates a self-sustained process improvement

culture

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ROI from the Dashboard

• Traditional productivity gainsA highly productive sales forceImproved product/service deliveries (quality of deliveries, quality of service)Easy monitoring of expenses, cash flows, operating profits

• Second/third tier benefitsBetter (proactive) project tracking with timely actionMonitoring mechanisms are well-defined

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Critical Success Factors• Leverage existing technology infrastructure

Start simple, ensure usefulness, acquire buy-in• A sound measurement foundation

Identifying the right metrics (all levels of the organization) – the selected metrics should be reliable indicators of performanceInterpreting metrics

• Ownership for (data) results• Analyzing results

Contextual analysis through co-relationsTranslate performance metrics into clear improvement opportunities

• A strong improvement processOwnership for timely corrective actionContinuous process improvement

contd…

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Critical Success Factors contd…

• Training program – targeting meatier returns

• Ownership for results• Effectiveness of the dashboard

Contextual analysis through co-relationsTranslate performance metrics results into clear improvement opportunities

• A strong improvement processOwnership for timely corrective actionContinuous process improvement

• Metrics for the monitoring process• Periodic re-evaluation of organizational measurement

program

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Common Pitfalls

• Misconceptions - dependent on the IT spendLow-cost (MS-Office/HTML generator) as effective as High-cost (collaborative dashboard solutions from BI vendors)Reconsider metrics rather than the tools♦ Right choice of KPIs

♦ Right data (and source)

♦ Correct dashboard representation

♦ Ownership of data

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Q & A ?

Nita Sarang Technical Consultant & Chief Quality [email protected]


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