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Index
Cover
Table of Contents
Foreword
Acknowledgments
PART I
Chapter One: If You Want a Data Culture, Build a Community
Why Do Organizations Aim to Become Data‐Driven?
What Does Data Give Us that Experience Cannot?
What Does a Data‐Driven Culture Look Like?
Notes
Chapter Two: What Is an Analytics Community?
#MakeoverMonday, the Social Data Project that Changes Visualizations and Lives
Chapter Three: Building a Data Visualization Community at the USAA
PART II
Chapter Four: Benefits of Setting Up Communities
Benefits for an Organization
Informal Training Sessions
Benefits for the Analytics Industry
Benefits for the Individual
Chapter Five: Why Are Communities Important?
What Communities Give to the Individual
What Each of Us Brings to a Community
How to Foster Constructive Connections in Your Analytics Community
Notes
Chapter Six: Addressing Potential Risks for Your Community
Distraction
Groupthink/Echo Chamber
Lack of Buy‐in
Disruptors
Chapter Seven: Practical Guides for Getting Started
Purpose and Mission
Structure
Processes
People
Activities
Templates
Getting Started
Chapter Eight: What Are the Success Factors for Your Community?
Specific Targets and Outputs
Communicating Your Goals and Intentions
Getting External Input
Driving Engagement in Your Community
Chapter Nine: How to Set Up an Analytics Community
Phase 1: Planning
Phase 2: Pilot
Phase 3: Growth
Phase 4: Development
Summary
Chapter Ten: Lessons Learned
How Not to Do It
Who Are the Right People to Lead Your Community?
How to Assign Roles and Responsibilities
PART III
Chapter Eleven: Where to Go from Here
Your Roadmap
What Does Your Future Community Look Like?
What Are Your Goals?
Documentation and Building a Knowledge Portal
Automate
Delegate
Ask for Help
Conclusion
Index
End User License Agreement
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