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    MGS 8020 Methods of BusinessIntelligence 1

    Executive Information

    Systems and Metrics

    Source:Decision Support Systems in the 21st

    Century, 2nd Edition by George M. Marakas

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 2

    An EIS is

    An EIS is a special type of DSS designed to support decision making

    at the top level of an organization.

    An EIS may help a CEO to get an accurate picture of overall

    operations, and a summary of what competitors are doing.

    These systems are generally easy to operate and present information in

    ways easy to quickly absorb (graphs, charts, etc.).

    The EIS will allow the executive to drill down from any figure to see

    its supporting data.

    The executive can select a level of detail (for example, sales by state)

    if further investigation is needed.

    This top down approach should lead to better decisions.

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 3

    Executives are different because

    They are enterprise-oriented in thinking

    The possess the broadest span of control

    They are responsible for establishing policy

    They represent the organization to the external environment

    Their actions have considerable financial and human consequences

    Disturbance management may require around-the-clock attention.

    Entrepreneurial activities require the executive to predict changes inthe environment.

    Resource allocation tasks require the manager to choose when andwhere the limited resources are deployed.

    Negotiation requires up-to-the-minute info to help build consensus.

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 4

    Handling

    Disturbances,

    42%

    Entrepreneurial

    Activites , 32%

    ResourceAllocation, 17%

    Negotiation, 3%

    Other, 6%

    Executives typically spend their time

    http://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 5

    Disturbance management may require around-the-clock attention.

    Entrepreneurial activities require the executive to predict changes in

    the environment.

    Resource allocation tasks require the manager to choose when and

    where the limited resources are deployed.

    Negotiation requires up-to-the-minute info to help build consensus.

    Executives are different because

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 6

    Accounting systems that relate revenue to specific operational areas

    are more important than traditional accounting systems.

    Information about markets, customers and suppliers is valuable in

    determining strategy.

    The information required is often spread across several computer

    systems and located throughout the organization.

    The information used is often short-term and volatile.

    Information that represents key business performance indicators

    (metrics)

    Types of information executives use

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 7

    An EIS requires no specific or unique hardware.

    A key issue is to be sure that the EIS components optimize and

    conform to the organizations computing resources.

    The system must be configured so that the resources are well-matched

    to the executives using them.

    EIS hardware components

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 8

    In contrast to hardware, software is usually highly specialized to the

    problem domain.

    This specialization is often achieved by using off-the-shelf components

    for the EIS backbone, and customized modules to meet specific needs.

    Lotus Notes is a good example. It can be used alone, or can

    accommodate third-party plug-in modules.

    SAS is another robust system. [SAS interactive tour]

    EIS software components

    http://www.isixsigma.com/offsite.asp?A=Fr&Url=http://www.sas.com/solutions/bsc/http://www.isixsigma.com/offsite.asp?A=Fr&Url=http://www.sas.com/solutions/bsc/http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 9

    Cost: a 1991 survey showed an average development cost of $365,000

    with annual operating costs of $200,000.

    Proportion still holds today, but higher $$.

    Technological limitations: the EIS needs to be seamlessly integrated

    into the companys current IT architecture, so it is a formidable

    challenge to the designer.

    Organizational limitations: the organizational structure might not beright.

    EIS limitations

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 10

    Agendas and time biases: the EIS represents only part of executives

    total agenda, and it may become easy to be overly reliant on it.

    Managerial synchronization: heavy reliance on the timely, ad-hoc,

    EIS reports may disrupt stable, well-established reporting cycles.

    Destabilization: fast EIS response may cause the executive to react

    too swiftly, leading to less stability in the organization.

    Organizational limits

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 11

    Executives are different because

    Lack of management support

    Political problems

    Developer failures

    Technology failures

    Costs

    Time

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 12

    The intelligent EIS: advances in AI technology will be deployed in the

    EIS

    The multimedia EIS: multimedia databases will allow future

    integration of text, voice and image

    The informed EIS: future EISs will make wider use of data external to

    the company

    The connected EIS: high-bandwidth communication allows greater

    interconnectivity

    EIS of tomorrow

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 13

    Performance Management:

    The Balanced Scorecard

    Purpose of Balanced Scorecard:

    A method of implementing a business strategy by translating it into a

    set of performance measures derived from strategic goals that allocate

    rewards to executives and managers based on their success at meeting

    or exceeding the performance measures.

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 14

    Performance Management:

    The Balanced Scorecard (Source: Kaplan & Norton, 1996)

    Reasons for the Need of a Balanced Scorecard

    1. Focus on traditional financial accounting measures such as ROA, ROE,

    EPS gives misleading signals to executives with regards to quality and

    innovation. It is important to look at the means used to achieve

    outcomes such as ROA, not just focus on the outcomes themselves.

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 15

    Reasons for the Need of a Balanced Scorecard

    2. Executive performance needs to be judged on success at meeting a mix

    of both financial and non-financial measures to effectively operate a

    business.

    Performance Management:

    The Balanced Scorecard (Source: Kaplan & Norton, 1996)

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 16

    Reasons for the Need of a Balanced Scorecard

    3. Some non-financial measures are drivers of financial outcome measures

    which give managers more control to take corrective actions quickly.

    (Example: controls in jet cockpit for pilot)

    Performance Management:

    The Balanced Scorecard (Source: Kaplan & Norton, 1996)

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 17

    Reasons for the Need of a Balanced Scorecard

    4. Too many measures, such as hundreds of possible cost accounting

    index measures, can confuse and distract an executive from focusing

    on important strategic priorities. The balanced scorecard disciplines an

    executive to focus on several important measures that drive the

    strategy.

    Performance Management:

    The Balanced Scorecard (Source: Kaplan & Norton, 1996)

    f

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 18

    1. Financial: How do we look to our Shareholders?

    2. Customer: How do our Customers See Us?

    3. Internal Business Process: What should we do that is Excellent?4. Employee and Organization Innovation and Learning: Can we continue

    to Improve and Add Value?

    Balanced Scorecard Perspectives

    Performance Management:

    The Balanced Scorecard (Source: Kaplan & Norton, 1996)

    P f M

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 19

    Cycle Times Customer

    Satisfaction

    Customer orderfulfillment

    Product assembly

    cycle time

    ROA

    EVA

    EPS

    Drivers Moderators Outcomes(lead indicators) (lag indicators)

    Quality

    Defect rateScrap rate

    Manufacturing

    Unit Costs

    Performance Management:

    The Balanced Scorecard (Source: Kaplan & Norton, 1996)

    B l d S d

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 20

    Drivers Moderators Outcomes

    (lead indicators) (lag indicators)

    Employee Employee Growth

    Satisfaction Retention Rate

    Revenues

    Employee Product and

    Suggestions Process Innovations

    Balanced Scorecard

    Chain of Causality of Performance Measures(Source: Kaplan & Norton, 1996)

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 21

    Financial Measures & the Balanced

    Scorecard(Source: Kaplan & Norton, 1996)

    Financial measures are outcomes that represent the executives success

    at achieving strategic performance goals

    Financial measures are influenced by the Stage of the Life Cyclewhich reflects different strategic priorities

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 22

    Financial Measures & the Balanced

    Scorecard(Source: Kaplan & Norton, 1996)

    Sustain/Maturity

    ROCE

    EVA

    Earn excellent

    return on capital

    invested

    GrowthSales Growth

    Revenue

    Productivity

    Generate new

    accounts &

    increase market

    share

    Harvest/DeclineCash Flow

    Reduce Unit

    Costs

    Obtain

    immediate

    payback on

    investments fromcash cow

    Life Cycle Stage

    h l d

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 23

    Business Business Inventory cycle time

    Quality defect rate

    Distributor satisfaction

    Customer satisfaction

    Distributor price margin

    Business Distributor/Dealer Customer

    Different Customer Models Relevant Customer Metrics

    Customer Measures & the Balanced

    Scorecard (Source: Kaplan & Norton, 1996)

    C & h l d

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 24

    Business Customer Customer order fulfillment cycle

    time

    Customer satisfaction

    Customer price margin

    Different Customer Models Relevant Customer Metrics

    Customer Measures & the Balanced

    Scorecard (Source: Kaplan & Norton, 1996)

    Internal Business Process Measures

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 25

    Internal Business Process Measures

    and the Balanced Scorecard(Source: Kaplan & Norton, 1996)

    Internal Business Process Measures

    Quality

    Yield

    Throughput

    Cycle time

    Cost efficiency

    Order Fulfillment

    Procurement

    Repair service quality/downtime

    Warranty quality

    Internal Business Process Measures

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 26

    Service

    to the

    Customer

    Internal Business Process Measures

    and the Balanced Scorecard(Source: Kaplan & Norton, 1996)

    Model of Internal Business Process Logistics

    Customer

    Need

    Identified

    Innovation

    Process

    Operations

    Process

    Post-Sale

    Service

    Process

    Customer

    Need Satisfied

    Identify

    Market

    Create

    Product

    Build

    Product

    Deliver

    Product

    Relevant

    Metrics:

    DevelopmentCycle Time

    Quality

    Defects

    MCE

    Delivery

    Cycle

    Time

    Service

    Satisfaction

    Internal Business Process Measures

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 27

    Manufacturing Cycle Effectiveness (MCE)

    Processing Time

    Throughput Time

    Throughput Time = Processing time + inspection time +

    movement time + waiting/storage time

    MCE 0, implies inefficient process

    MCE 1, implies less wasted time, greater efficiency

    Internal Business Process Measures

    and the Balanced Scorecard(Source: Kaplan & Norton, 1996)

    MCE =

    Employee and Organization Capabilities

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 28

    Employee and Organization Capabilities

    for Innovation and Learning Measures(Kaplan & Norton, 1996)

    What are employee and organization capabilities for innovation and

    learning measures?

    Represent ways to improve the other 3 scorecard outcomes or

    measures.

    They nurture the other 3 areas

    Employee and Organization Capabilities

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 29

    Employee and Organization Capabilities

    for Innovation and Learning Measures(Kaplan & Norton, 1996)

    Learning Measures

    Employee skill levels (certification

    rate)

    # suggestions per employee

    Employee learning curve (time toreach acceptable level of output or

    quality)

    Employee Measures

    Employee satisfaction

    Employee retention

    Employee productivity

    B l d S d C di G l

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 30

    Balanced Scorecard: Cascading Goals

    # Employee

    Suggestions

    Corporate

    SBU

    Department

    Team

    ROCE

    Corporate

    SBU

    Customer

    Satisfaction

    Corporate

    SBU

    Retail Store

    I ti C ti f E ti ith

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 31

    Incentive Compensation for Executives with

    the Balanced Scorecard

    Executive Bonus Pool is designed as a percentage of Base Salary

    The bonus pool represents potential earnings from the bonus for an

    executive if all performance measures are achieved

    Partial success with meeting performance measures results in theallocation of a bonus representing a lesser amount of the total potential

    bonus.

    Example: The bonus pool for a CEO equals 100 percent of salary.

    Range of bonus equals 0 to 100 percent of salary depending on success

    of CEO performance.

    E l A t bil C B l d

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 32

    Example: Automobile Company Balanced

    Scorecard Reward Matrix for Bonus

    Category Measure Weighting

    Financial (50%) EVA 25%

    Unit Profit 15%

    Market Growth 10%

    Customer (20%) Customer satisfaction survey 10%Dealer satisfaction survey 10%

    Internal (20%) Above average rank on

    Process industry quality survey 10%

    Decrease in dealer

    delivery cycle time.. 10%Innovation (10%) Suggestions/employee 5%

    and Learning Emp. satisfaction survey 5%

    The Balanced Scorecard

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 33

    The Balanced Scorecard

    Critical Thinking Questions

    1. What happens to the balanced scorecard when the strategy changes?

    (example: moving from a growth to an extract profits strategy)

    2. How should resistance by executives or managers to new measures behandled?

    3. What if executives or managers sub-optimize and only focus on

    categories in the reward matrix with the largest payoffsuch as EVA

    and Customer Satisfaction?

    Metrics attributes

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 34

    Customer-centered

    indicators that provide value to customer (quality, dependability,timeliness)

    associated with internal work that address system cost, wastereduction, team work, innovation, customer satisfaction

    Measure performance across time (trends, not snapshots)

    Provide information directly at level they are applied (no furtherprocessing)

    Linked to business mission, strategy, and actions

    Contribute to organizational direction and control Collaboratively developed by those who provide ,collect, process anduse the data

    Metrics attributes(K. H. Rose, 1995)

    http://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 35

    Sample scorecard

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Learning Organization Quality Metric

    2004 YTD: 79.5%

    2004 Target: 80.0%

    Sample Quality Metric

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Learning Organization Quality Metric

    2004 YTD: 79.5%

    2004 Target: 80.0%

    Sample Quality Metric

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Learning Organization Quality Metric

    2004 YTD: 79.5%

    2004 Target: 80.0%

    Sample Quality Metric

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Learning Organization Productivity Metric

    Resource Hrs per Instruction Hr Developed

    2004 YTD: 58 hr / hr

    2004 Target: 40 hr / hr

    Sample Productivity Metric

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Learning Organization Productivity Metric

    Resource Hrs per Instruction Hr Developed

    2004 YTD: 58 hr / hr

    2004 Target: 40 hr / hr

    Sample Productivity Metric

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Learning Organization Productivity Metric

    Resource Hrs per Instruction Hr Developed

    2004 YTD: 58 hr / hr

    2004 Target: 40 hr / hr

    Sample Productivity Metric

    http://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.html
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    MGS 8020 Methods of BusinessIntelligence 36

    Sample productivity indicator metrics

    0

    10

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    30

    4050

    60

    70

    80

    90

    100

    Customer Service Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 48 hr / hr

    2004 Target: 40 hr / hr

    0

    100

    200

    300

    400500

    600

    700

    800

    900

    1000

    E-Learning Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 625 hr / hr

    2004 Target: 400 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Six Sigma Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 78 hr / hr

    2004 Target: 40 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Enterprise Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 38 hr / hr

    2004 Target: 40 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Leadership Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 66 hr / hr

    2004 Target: 40 hr / hr

    Sample Business Unit 1

    Productivity Metric

    Sample Business Unit 2

    Productivity MetricSample Business Unit 3

    Productivity Metric

    Sample Business Unit 4Productivity Metric

    Sample Business Unit 5

    Productivity Metric

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Customer Service Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 48 hr / hr

    2004 Target: 40 hr / hr

    0

    100

    200

    300

    400500

    600

    700

    800

    900

    1000

    E-Learning Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 625 hr / hr

    2004 Target: 400 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Six Sigma Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 78 hr / hr

    2004 Target: 40 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Enterprise Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 38 hr / hr

    2004 Target: 40 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Leadership Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 66 hr / hr

    2004 Target: 40 hr / hr

    Sample Business Unit 1

    Productivity Metric

    Sample Business Unit 2

    Productivity MetricSample Business Unit 3

    Productivity Metric

    Sample Business Unit 4Productivity Metric

    Sample Business Unit 5

    Productivity Metric

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Customer Service Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 48 hr / hr

    2004 Target: 40 hr / hr

    0

    100

    200

    300

    400500

    600

    700

    800

    900

    1000

    E-Learning Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 625 hr / hr

    2004 Target: 400 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Six Sigma Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 78 hr / hr

    2004 Target: 40 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Enterprise Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 38 hr / hr

    2004 Target: 40 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Leadership Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 66 hr / hr

    2004 Target: 40 hr / hr

    Sample Business Unit 1

    Productivity Metric

    Sample Business Unit 2

    Productivity MetricSample Business Unit 3

    Productivity Metric

    Sample Business Unit 4Productivity Metric

    Sample Business Unit 5

    Productivity Metric

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Customer Service Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 48 hr / hr

    2004 Target: 40 hr / hr

    0

    100

    200

    300

    400500

    600

    700

    800

    900

    1000

    E-Learning Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 625 hr / hr

    2004 Target: 400 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Six Sigma Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 78 hr / hr

    2004 Target: 40 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Enterprise Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 38 hr / hr

    2004 Target: 40 hr / hr

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Leadership Productivity MetricResource Hrs per Instruction Hr Developed

    2004 YTD: 66 hr / hr

    2004 Target: 40 hr / hr

    Sample Business Unit 1

    Productivity Metric

    Sample Business Unit 2

    Productivity MetricSample Business Unit 3

    Productivity Metric

    Sample Business Unit 4Productivity Metric

    Sample Business Unit 5

    Productivity Metric

    http://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.htmlhttp://www.gsu.edu/index.html
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    MGS 8020 Methods of Business

    Intelligence 37

    Sample quality indicator metrics

    100

    90

    80

    70

    6050

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    30

    20

    10

    0

    Six Sigma Quality Metric

    2004 YTD: 79.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Leadership Quality Metric

    2004 YTD: 77.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Enterprise Quality Metric

    2004 YTD: 76.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    E-Learning Quality Metric

    2004 YTD: 81.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Customer Service Quality Metric

    2004 YTD: 83.0%

    2004 Target: 80.0%

    Business unit 1

    quality metricBusiness unit 2

    quality metric

    Business unit 3

    quality metric

    Business unit 4

    quality metric

    Business unit 5

    quality metric

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Six Sigma Quality Metric

    2004 YTD: 79.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Leadership Quality Metric

    2004 YTD: 77.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Enterprise Quality Metric

    2004 YTD: 76.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    E-Learning Quality Metric

    2004 YTD: 81.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Customer Service Quality Metric

    2004 YTD: 83.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Six Sigma Quality Metric

    2004 YTD: 79.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Leadership Quality Metric

    2004 YTD: 77.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Enterprise Quality Metric

    2004 YTD: 76.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    E-Learning Quality Metric

    2004 YTD: 81.0%

    2004 Target: 80.0%

    100

    90

    80

    70

    6050

    40

    30

    20

    10

    0

    Customer Service Quality Metric

    2004 YTD: 83.0%

    2004 Target: 80.0%

    Business unit 1

    quality metricBusiness unit 2

    quality metric

    Business unit 3

    quality metric

    Business unit 4

    quality metric

    Business unit 5

    quality metric

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