Decision Intelligence for Dummies

Pam Bakeris a veteran business analyst and journalist whose work is focused on big data, artificial intelligence, machine learning, business intelligence, and data analysis. She is the author of Data Divination - Big Data Strategies.

Introduction 1 Part 1: Getting Started with Decision Intelligence 9 Chapter 1: Short Takes on Decision Intelligence 11 Chapter 2: Mining Data versus Minding the Answer 25 Chapter 3: Cryptic Patterns and Wild Guesses 39 Chapter 4: The Inverted V Approach 53 Part 2: Reaching the Best Possible Decision 67 Chapter 5: Shaping a Decision into a Query 69 Chapter 6: Mapping a Path Forward 81 Chapter 7: Your DI Toolbox 101 Part 3: Establishing Reality Checks 115 Chapter 8: Taking a Bow: Goodbye, Data Scientists -- Hello, Data Strategists 117 Chapter 9: Trusting AI and Tackling Scary Things 131 Chapter 10: Meddling Data and Mindful Humans 151 Chapter 11: Decisions at Scale 165 Chapter 12: Metrics and Measures 179 Part 4: Proposing a New Directive 197 Chapter 13: The Role of DI in the Idea Economy 199 Chapter 14: Seeing How Decision Intelligence Changes Industries and Markets 213 Chapter 15: Trickle-Down and Streaming-Up Decisioning 231 Chapter 16: Career Makers and Deal-Breakers 251 Part 5: The Part of Tens 273 Chapter 17: Ten Steps to Setting Up a Smart Decision 275 Chapter 18: Bias In, Bias Out (and Other Pitfalls) 285 Index 291