A business-ready introduction to decision intelligence, exploring why traditional decision-making strategies are outdated and
Table of Contents
Figures List xi
Foreword xiii
Acknowledgments xvii
Introduction xxi
Chapter 1 Decoding Decision-Making: Good and Bad Decisions 1
How to Measure the Quality of a Decision 6
The History of Decision-Making 10
The Impact of Technology on Business Decision-Making in the 21st Century 14
Regaining the Human Aspects 17
Chapter 2 Why Traditional Decision-Making Is Broken 21
The New (Corporate) Normal: An Increasingly Dynamic and Complex Reality with Uncertainties 23
Why Data Analytics and Business Intelligence Can’t Keep up with the New Reality 31
The Illusion of Human Control: Will We Ever Be Able to Make the Best Possible Choice? 35
Chapter 3 Decision Intelligence: Making Relevant Information Visible and Actionable 39
How to Shift Your Decision-Making Perspective 43
The Ultimate Partnership Between Humans and Machines 47
Chapter 4 The Business Value of Decision Intelligence 55
From Using DI as a Strategy to DecisionOS 57
Step up the Operational Game: Recurring Use-Cases for Companies 61
Chapter 5 Decision Intelligence in Practice: Industry Examples of Applied DI 67
DI in Logistics 69
DI in Retail 78
DI in Pricing and Marketing 83
Chapter 6 The Technology Stack: Applying AI Systems for Decision-Making 91
Data, the Backbone to Leverage Business Value 95
Artificial Intelligence: Understanding the Patterns Behind 102
Optimization Is Key for Better Business Outcomes 116
Chapter 7 Decision Intelligence Organization: The Key to Unlocking the True Potential of Data-Driven Decision-Making 125
Culture Eats Intelligent Decision-Making for Breakfast 129
Ways of Working in DI Organizations 132
The Four Rs of the DI Organization 137
Cultivating a DI Organization: A Symphony of Skills 142
Recognizing Biases in Your Decision-Making Process 147
Chapter 8 Leading a Decision Intelligence Organization 155
Trust and Courage 158
Transparency and Experimentation 162
Psychological Safety: The Secret Ingredient for a Decision Intelligence Organization 167
Embracing Failure and Forging Forward 175
Epilogue 179
References 183
Index 195
