Guide to Building Data-Driven Organizations in the Public Sector

Table of Contents

CHAPTER 1: The Big Promise of Big Data

CHAPTER 2: Information Blindness

CHAPTER 3: Challenges of Organizational Change

CHAPTER 4: Challenges of Big Data

CHAPTER 5: Collecting Group Data

CHAPTER 6: Processing Satellite Data

CHAPTER 7: Using Administrative Data

CHAPTER 8: Harnessing Social Media Data

CHAPTER 9: Remote Sensors

CHAPTER 10: Challenges of Data Quality

CHAPTER 11: Relationship Discovery

CHAPTER 12: Using Big Data for Evaluation

CHAPTER 13: Prediction Moneyball

CHAPTER 14: Motivating People

CHAPTER 15: Building Effective Teams

CHAPTER 16: Managerial Experiments

CHAPTER 17: Amazon vs Zappos

CHAPTER 18: Manipulating Crowds

CHAPTER 19: Best Practices for Privacy

CHAPTER 20: Best Practices for Open Data

CHAPTER 21: Ethics of Algorithms