Contents – Strategic Analytics: The Insights You Need from Harvard Business Review


  1. Introduction
  2. What Makes Analytics Strategic
  3. They make your strategy or business model possible.
  4. by Thomas H. Davenport
  5. Section 1
  6. Understanding Analytics Basics
  7.   1.  The Five Essential Elements for Succeeding with Data
  8. And the costs of missing any.
  9. by Thomas C. Redman
  10.   2.  Understanding the Types of Data and How They’re Captured
  11. Increase your data literacy.
  12. by Hugo Bowne-Anderson
  13.   3.  The Right Way to Deploy Predictive Analytics
  14. Focus first on your team, then on technology.
  15. by Eric Siegel
  16.   4.  What Great Data Analysts Do
  17. And why every organization needs them.
  18. by Cassie Kozyrkov
  19.   5.  What Data Is and Isn’t Good For
  20. Numbers rarely reveal the “why.”
  21. by Joel Shapiro
  22. Section 2
  23. Becoming an Analytics-Driven Organization
  24.   6.  Prioritize Which Data Skills Your Company Needs
  25. Consider time versus utility.
  26. by Chris Littlewood
  27.   7.  How a German Manufacturing Company Set Up Its Analytics Lab
  28. Best practices any company can follow.
  29. by Niklas Goby, Tobias Brandt, and Dirk Neumann
  30.   8.  Cloud Computing Is Helping Smaller, Newer Firms Compete
  31. Renting computing power may level the playing field.
  32. by Nicholas Bloom and Nicola Pierri
  33.   9.  Data Science and the Art of Persuasion
  34. Solving data’s last-mile problem.
  35. by Scott Berinato
  36. Section 3
  37. Applying Data Analytics
  38. 10.  How Vineyard Vines Uses Analytics to Win Over Customers
  39. By integrating behavioral data and predictive algorithms.
  40. by Dave Sutton
  41. 11.  How to Use Employee Data Responsibly
  42. Three ways to maintain trust when using people analytics.
  43. by Ellyn Shook, Eva Sage-Gavin, and Susan Cantrell
  44. 12.  What AI-Driven Decision Making Looks Like
  45. Sometimes, humans need to get out of the way.
  46. by Eric Colson
  47. 13.  How Companies Can Use the Data They Collect to Further the Public Good
  48. And why they benefit from doing so.
  49. by Edward L. Glaeser, Hyunjin Kim, and Michael Luca
  50. About the Contributors
  51. Index