eis and metrics
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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
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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.
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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.
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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
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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
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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
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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
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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
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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
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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
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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
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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.
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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.
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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)
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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)
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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
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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
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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
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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)
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MGS 8020 Methods of BusinessIntelligence 35
Sample scorecard
0
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Learning Organization Quality Metric
2004 YTD: 79.5%
2004 Target: 80.0%
Sample Quality Metric
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Learning Organization Quality Metric
2004 YTD: 79.5%
2004 Target: 80.0%
Sample Quality Metric
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Learning Organization Quality Metric
2004 YTD: 79.5%
2004 Target: 80.0%
Sample Quality Metric
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Learning Organization Productivity Metric
Resource Hrs per Instruction Hr Developed
2004 YTD: 58 hr / hr
2004 Target: 40 hr / hr
Sample Productivity Metric
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Learning Organization Productivity Metric
Resource Hrs per Instruction Hr Developed
2004 YTD: 58 hr / hr
2004 Target: 40 hr / hr
Sample Productivity Metric
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Learning Organization Productivity Metric
Resource Hrs per Instruction Hr Developed
2004 YTD: 58 hr / hr
2004 Target: 40 hr / hr
Sample Productivity Metric
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MGS 8020 Methods of BusinessIntelligence 36
Sample productivity indicator metrics
0
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Customer Service Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 48 hr / hr
2004 Target: 40 hr / hr
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400500
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E-Learning Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 625 hr / hr
2004 Target: 400 hr / hr
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Six Sigma Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 78 hr / hr
2004 Target: 40 hr / hr
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Enterprise Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 38 hr / hr
2004 Target: 40 hr / hr
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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
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Customer Service Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 48 hr / hr
2004 Target: 40 hr / hr
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400500
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E-Learning Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 625 hr / hr
2004 Target: 400 hr / hr
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Six Sigma Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 78 hr / hr
2004 Target: 40 hr / hr
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Enterprise Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 38 hr / hr
2004 Target: 40 hr / hr
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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
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Customer Service Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 48 hr / hr
2004 Target: 40 hr / hr
0
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400500
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E-Learning Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 625 hr / hr
2004 Target: 400 hr / hr
0
10
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4050
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100
Six Sigma Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 78 hr / hr
2004 Target: 40 hr / hr
0
10
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4050
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Enterprise Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 38 hr / hr
2004 Target: 40 hr / hr
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4050
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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
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Customer Service Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 48 hr / hr
2004 Target: 40 hr / hr
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400500
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E-Learning Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 625 hr / hr
2004 Target: 400 hr / hr
0
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Six Sigma Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 78 hr / hr
2004 Target: 40 hr / hr
0
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4050
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Enterprise Productivity MetricResource Hrs per Instruction Hr Developed
2004 YTD: 38 hr / hr
2004 Target: 40 hr / hr
0
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20
30
4050
60
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80
90
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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
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MGS 8020 Methods of Business
Intelligence 37
Sample quality indicator metrics
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Six Sigma Quality Metric
2004 YTD: 79.0%
2004 Target: 80.0%
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6050
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Leadership Quality Metric
2004 YTD: 77.0%
2004 Target: 80.0%
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6050
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Enterprise Quality Metric
2004 YTD: 76.0%
2004 Target: 80.0%
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6050
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E-Learning Quality Metric
2004 YTD: 81.0%
2004 Target: 80.0%
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6050
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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
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6050
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Six Sigma Quality Metric
2004 YTD: 79.0%
2004 Target: 80.0%
100
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6050
40
30
20
10
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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
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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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