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Data Visualization and Performance Analytics

Data Visualization and Performance Analytics

Data Visualization and Performance Analytics– WEEK 3 / MODULE 3

Week 03 – Agenda

•Discussion Review •Designing KPIs and Dashboard Displays • Metrics and Indicators • Leading and Lagging • Attributes of KPIs • Designing KPIs Note: Visual design in Module 4

MODULE 3 – DESIGNING KEY PERFORMANCE INDICATORS AND DASHBOARD DISPLAYS DSS 670 – Data Visualization and Performance Analytics

• Explain the difference between metrics and indicators, drivers and outcomes, and leading and lagging indicators.

• Describe the six attributes of a good performance indicator.

• Describe the 12 characteristics of effective performance metrics and the five types of targets.

• Implement the nine steps of Key Performance Indicator development.

• Explain the importance of design to the success of a performance dashboard project.

Module Objectives

What gets measured gets done.

Metrics and Indicators (2 of 2)

Metrics

• Measure of business activity

Performance Indicator

• Measure in the context of a goal

Drivers and Outcomes (2 of 2)

Value Drivers (Leading Indicators)

Outcomes (Lagging Indicators)

Number of Face-to- Face Client Contacts

Completed Sales Revenue

Brainstorming Activities and Behaviors that Correlate with Drivers

Why? Why? Why? Why? Why?

Sensory Perceptions: What will is [look, feel, sound] like?

Brainstorm – Drivers and Outcomes

N

Other Metrics Activity Metrics: Measure business activity related to

performance indicators but don’t have goals associated with them.

Risk Indicators: Measure the riskiness of a business activity or how it might adversely affect operations.

Key Performance Indicators: A nonfinancial metric that is measured frequently and affects most of the company’s critical success factors and performance metrics.

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