Guide to Building Data-Driven Organizations in the Public Sector

Table of Contents

CHAPTER 1: Open Data

CHAPTER 2: The Promise of Big Data

CHAPTER 3: Challenges of Big Data

CHAPTER 4: Data on Teams

CHAPTER 5: Eyes in the Sky

CHAPTER 6: Social Media Data

CHAPTER 7: Remote Sensors

CHAPTER 8: Discovery

CHAPTER 9: Prediction (Playing Moneyball)

CHAPTER 10: Bias in Prediction

CHAPTER 11: Data Quality

CHAPTER 12: Manipulation

CHAPTER 13: Ethics of Algorithms

CHAPTER 14: Best Practices in Privacy

CHAPTER 15: Managerial Experiments

CHAPTER 16: Information Blindness

CHAPTER 17: Building Effective Teams

CHAPTER 18: Incentivizing Teams

CHAPTER 19: Tale of Two DDHR Systems - The Case for Amazon

CHAPTER 20: Tale of Two DDHR Systems - The Case for Zappos