SECTION 1
Introduction
CHAPTER 1 AI and Analytics Are a Leadership Problem
CHAPTER 2 A Framework for AI and Analytics Success
SECTION 2
Consuming AI and Analytics
CHAPTER 3 Exploratory Analytics: What Is Going on with
My Data?
CHAPTER 4 Distinguishing Good from Bad Analytics
SECTION 3
Actively Participating in AI and Analytics
PREDICTIVE ANALYTICS
CHAPTER 5 Anatomy of a Crystal Ball
CHAPTER 6 A Smarter Crystal Ball
CAUSAL ANALYTICS
CHAPTER 7 Designing Your Data for Analytics:
Experiments and Quasi-Experiments
CHAPTER 8 Working with Data You Have Part 1:
Using Opportunistic Data
CHAPTER 9 Working with Data You Have Part 2:
Learning from Natural Experiments
MAKING DECISIONS
CHAPTER 10 Optimizing and Scaling Your Decisions
SECTION 4
Executing on AI and Analytics
CHAPTER 11 Identifying Opportunities and Planning for
AIA
CHAPTER 12 Understanding Barriers to Success
CHAPTER 13 Organizing for Success
SECTION 5
Success Stories with AIA
STORY 1 Allstate Builds Firmwide DSIQ
STORY 2 Vanguard Builds an Ecosystem of Analytics
Excellence
STORY 3 Canadian Tire Creates an Enterprisewide
Analytics System
STORY 4 Royal Caribbean Sets Sail
for Continuous
Analytics Improvement
STORY 5 Accenture Builds Analytics
Capability for
Competitive Advantage
Acknowledgments
Notes
Index
Eric Anderson and Florian Zettelmeyer are tenured professors at Northwestern University's Kellogg School of Management. They are known across academic and business arenas as go-to experts in data analytics.
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