Log In
Or create an account ->
Imperial Library
Home
About
News
Upload
Forum
Help
Login/SignUp
Index
Cover
Title Page
Copyright Page
Contents
Preface
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
← Prev
Back
Next →
← Prev
Back
Next →