Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

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