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Leading with AI and Analytics
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Table of Contents

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

About the Author

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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