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.
Part 1
Chapter 1 If you want a data culture, build a community
Chapter 2 What is an analytics community?
Chapter 3 Building a data visualization community at the United Services Automobile Association
Part 2
Chapter 4 Benefits of setting up communities
Chapter 5 Why are communities important?
Chapter 6 Addressing potential risks for your community
Chapter 7 Practical guides for getting started
Chapter 8 What are the success factors for your community?
Chapter 9 How to setup an analytics community
Chapter 10 Lessons Learned
Part 3
Chapter 11 Where to go from here
Conclusion