Learn to build an analytics community in your organization from scratch
How to Build a Data Community shows readers how to create analytics and data communities within their organizations. Celebrated author Eva Murray relies on intuitive and practical advice structured as step-by-step guidance to demonstrate the creation of new data communities.
How to Build a Data Community uses concrete insights gleaned from real-world case studies to describe, in full detail, all the critical components of a data community. Readers will discover:
- What analytics communities are and what they look like
- Why data-driven organizations need analytics communities
- How selected businesses and nonprofits have applied these concepts successfully and what their journey to a data-driven culture looked like.
- How they can establish their own communities and what they can do to ensure their community grows and flourishes
Perfect for analytics professionals who are responsible for making policy-level decisions about data in their firms, the book is also a must-have for data practitioners and consultants who wish to make positive changes in the organizations with which they work.
Table of Contents:
Foreword ix
Acknowledgments xi
Part I 1
Chapter 1 If You Want a Data Culture, Build a Community 3
Why Do Organizations Aim to Become Data-Driven? 4
What Does Data Give Us that Experience Cannot? 5
What Does a Data-Driven Culture Look Like? 6
Chapter 2 What is an Analytics Community? 9
#MakeoverMonday, the Social Data Project that Changes Visualizations and Lives 10
Chapter 3 Building a Data Visualization Community at the USAA 23
Part II 27
Chapter 4 Benefits of Setting Up Communities 29
Benefits for an Organization 29
Benefits for the Analytics Industry 43
Benefits for the Individual 45
Chapter 5 Why Are Communities Important? 49
What Communities Give to the Individual 50
What Each of Us Brings to a Community 52
How to Foster Constructive Connections in Your Analytics Community 53
Chapter 6 Addressing Potential Risks for Your Community 59
Distraction 60
Groupthink/Echo Chamber 62
Lack of Buy-in 63
Disruptors 64
Chapter 7 Practical Guides for Getting Started 67
Purpose and Mission 67
Structure 68
Processes 70
People 71
Activities 71
Templates 77
Getting Started 93
Chapter 8 What Are the Success Factors for Your Community? 95
Specific Targets and Outputs 96
Communicating Your Goals and Intentions 99
Getting External Input 101
Driving Engagement in Your Community 103
Chapter 9 How to Set Up an Analytics Community 105
Phase 1: Planning 105
Phase 2: Pilot 109
Phase 3: Growth 111
Phase 4: Development 116
Summary 125
Chapter 10 Lessons Learned 127
How Not to Do It 127
Who Are the Right People to Lead Your Community? 133
How to Assign Roles and Responsibilities 142
Part III 147
Chapter 11 Where to Go from Here 149
Your Roadmap 149
What Does Your Future Community Look Like? 150
What Are Your Goals? 152
Documentation and Building a Knowledge Portal 157
Automate 159
Delegate 160
Ask for Help 161
Conclusion 163
Index 165
