It’s time to show, not tell.

Part Three applies the topics covered so far in the context of a series of case studies. Note that, for several reasons, only the University Tutoring Center case study closely follows the framework discussed in Chapter 6. First, the students adhered to this model under my indirect supervision. Second, I don’t possess inside information on how some of the other companies produced their specific analytics. (Firms justifiably are loath to reveal their methods.) It’s likely that they didn’t formally adhere to this precise scheme. Finally, there is no single correct paradigm for Agile analytics. Remember a few of the Agile principles from Chapter 4:

• Individuals and interactions over processes and tools
• Responding to change over following a plan

This part includes the following chapters:

• Chapter 7: University Tutoring Center: An In-Depth Case Study on Agile Analytics
• Chapter 8: People Analytics at Google/Alphabet: Not Your Father’s HR Department
• Chapter 9: The Anti-Google: Beneke Pharmaceuticals
• Chapter 10: Ice Station Zebra Medical: How Agile Methods Solved a Messy Health-Care Data Problem
• Chapter 11: Racial Profiling at Nextdoor: Using Data to Build a Better App and Combat a PR Disaster