Dramatically improve your decisions with data and AI
In Decision Intelligence: Transform Your Team and Organization with AI-Driven Decision-Making, a team of pioneering decision and AI strategists delivers a digestible and hands-on resource for professionals at every part of the decision-making journey. The book discusses the latest technology and approaches that bridge the gap between behavioral science, data science, and technological innovation.
Discover how leaders from various industries and environments are using data and AI to make better future decisions, taking both human as well as business factors into account. This book covers:
- A demystifying behind-the-scenes peek inside how AI models, forecasts, and optimization for business challenges really work, and why they open up entirely new possibilities.
- A business-ready introduction to decision intelligence, exploring why traditional decision-making strategies are outdated and how to transition to decision-intelligence.
- The evolution of Decision Intelligence, coming from analytics and modern techniques like process mining and robotic process automation
- An examination of decision intelligence at the organizational level, including discussions of agile transformation, transparent organizational culture, and why psychological safety is a crucial enabler for new ways of decision-making in modern companies
- An overview of why (and where exactly) AI still needs human expertise and how to incorporate this topic in daily planning and decision making
Praise for Decision Intelligence
"In Decision Intelligence, Thorsten Heilig and Ilhan Scheer build a compelling case for the world of tomorrow’s version of decision-making.”
―Martin Lindstrom, New York Times best-selling author
"Decision Intelligence will be one of the big topics for this decade and completely change the way organizations manage, plan, and operate. This book provides a comprehensive guide from the basics to the applications."
―Niklas Jansen, Entrepreneur and Tech Investor, Founding Partner Interface Capital and Co-Founder Blinkist
"The book impressively demonstrates the potential and entry points into the world of AI-powered decision making. A very valuable reading for managers and their organizations".
―Michael Kleinemeier, Member of the Merck KG Board of Partners, former Member of the SAP SE Executive Board
“The AI hype perfectly captured, easy to understand, de-mystified and mapped to clear use cases - a must-read for today's managers.”
―Dr. Daniela Gerd tom Markotten, Member of the Management Board for Digitalization and Technology, Deutsche Bahn AG
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
