Performance Management Getting Started
  • Introduction
  • Establish the Fundamentals
    • Performance Management 101
    • Identify Priorities
    • Set Goals
    • Measure Progress
    • Build Strong Measures
    • Measure the Measurers
  • Gather a Team and Data
    • Align Data to Goals
  • Conduct Relevant Analysis
    • Performance Analytics 101
  • Convene with Purpose
    • Is Stat Right for You?
    • 30 Reasons to Implement a Stat Program in Your City
    • Gotcha vs. No Surprises
    • Prepare for the First Stat Meeting
    • Determine Meeting Structure
    • Preparing for Launch
    • Host a Stat Meeting
    • Stat Seating Chart (Example)
  • Take Action
  • Causes of Inaction
  • People
  • Leadership & Management
  • Resources
  • Laws & Policy
  • Process
  • Insights
  • Conclusion
  • Glossary
  • Appendix A: Communicating Progress
  • Appendix B: Sample Stat Memo
  • Appendix C: Sample Follow-Up Memo
  • Appendix D: Sample Stat Analyst Job Description
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  1. Conduct Relevant Analysis

Performance Analytics 101

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Last updated 2 years ago

#What Is Performance Analytics?

Most people in government have at least heard the term performance management but are less familiar with performance analytics. So what's the difference? In theory, nothing. In an ideal world, performance management encompasses high quality analytics. Under some performance frameworks, every organization must have a management system that ensures continuous improvement, demonstrates efficient and effective operations, and engages stakeholders. Analytics should be a key ingredient to all of that work, but it rarely is. Instead, the average person in many governments thinks performance management is having a Stat program, a list of Key Performance Indicators (KPIs), and a pretty dashboard. For too many jurisdictions, performance management has become synonymous with paperwork and quarterly reports to the city manager's office. The Center for Government Excellence (GovEx) is encouraging governments to be explicit about the importance of going beyond the meetings, the metrics, and the reporting - because there are more insights underneath which help public servants redesign services for better outcomes.

So what is performance analytics? As you can see in the diagram below, it is the intersection of results based performance management (as the average person tends to think of it) and high quality analytics. It is the practice of constantly studying how you can do better and inserting those insights into your operational decision making processes, not just the strategic ones. Why does GovEx feel so strongly about this distinction between performance management and performance analytics? Because we have seen analytics make game-changing contributions to the way governments deliver; and we know it is the engine under the hood of a sound performance management program. For many governments, performance management is one way to open the door, get people talking about the importance of data, and asking smart questions. Performance analytics provides answers.

On the management side, organizations still need the key ingredients for success:

Key Ingredients for Performance Management
Example

Executive Champion

Governor, Mayor, City Manager, Department Head

Clear Vision & Purpose

Cohesive strategic plan & concrete goals

Commitment to Accountability

Clear owners, measures, performance plans

Learning Orientation

Peer Benchmarking, Best Practices,

Culture of Inquiry

Managers asking "why" and analysts empowered to answer them

Engaging Forums

Stat meetings, budget meetings, Data visualizations

Commitment to Transparency

open data and open meetings

On the analysis side, organizations need to deepen the bench of analytical skills in government across multiple dimensions, which means attracting 21st century talent and using modern tools and techniques. Data is everywhere, and accessing it is cheaper and easier than ever. But analyzing it requires these competencies to turn insight into foresight:

Key Ingredients for Analytics
Example

Technological Dexterity

Computer Science skills

Problem Solving Orientation

Demonstrated ability to apply complex skills to common problems

Analytical Dexterity

Competency in descriptive, diagnostic, predictive and prescriptive analytics

Intellectual Curiosity

Demonstrated habit of asking "why?"

Creativity

Demonstrated habit of asking "why not?"

Effective Communications

The ability to translate information into digestible insights

Team Player

Bias toward "we" instead of "me"