Decision Intelligence

Book description

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  • A business-ready introduction to decision intelligence, exploring why traditional decision-making strategies are outdated and how to transition to decision-intelligence.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

Decision Intelligence is essential reading for managers, executives, board members, other business leaders and soon-to-be leaders looking to improve the quality, adaptability, and speed of their 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

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright
  5. Dedication
  6. Figures List
  7. Foreword
  8. Acknowledgments
  9. Introduction
    1. Note
  10. CHAPTER 1: Decoding Decision-Making: Good and Bad Decisions
    1. How to Measure the Quality of a Decision
    2. The History of Decision-Making
    3. The Impact of Technology on Business Decision-Making in the 21st Century
    4. Regaining the Human Aspects
    5. Notes
  11. CHAPTER 2: Why Traditional Decision-Making Is Broken
    1. The New (Corporate) Normal: An Increasingly Dynamic and Complex Reality with Uncertainties
    2. Why Data Analytics and Business Intelligence Can't Keep up with the New Reality
    3. The Illusion of Human Control: Will We Ever Be Able to Make the Best Possible Choice?
    4. Notes
  12. CHAPTER 3: Decision Intelligence: Making Relevant Information Visible and Actionable
    1. How to Shift Your Decision-Making Perspective
    2. The Ultimate Partnership Between Humans and Machines
    3. Note
  13. CHAPTER 4: The Business Value of Decision Intelligence
    1. From Using DI as a Strategy to DecisionOS
    2. Step up the Operational Game: Recurring Use-Cases for Companies
  14. CHAPTER 5: Decision Intelligence in Practice: Industry Examples of Applied DI
    1. DI in Logistics
    2. DI in Retail
    3. DI in Pricing and Marketing
    4. Notes
  15. CHAPTER 6: The Technology Stack: Applying AI Systems for Decision-Making
    1. Data, the Backbone to Leverage Business Value
    2. Artificial Intelligence: Understanding the Patterns Behind
    3. Optimization Is Key for Better Business Outcomes
    4. Notes
  16. CHAPTER 7: Decision Intelligence Organization: The Key to Unlocking the True Potential of Data-Driven Decision-Making
    1. Culture Eats Intelligent Decision-Making for Breakfast
    2. Ways of Working in DI Organizations
    3. The Four Rs of the DI Organization
    4. Cultivating a DI Organization: A Symphony of Skills
    5. Recognizing Biases in Your Decision-Making Process
    6. Note
  17. CHAPTER 8: Leading a Decision Intelligence Organization
    1. Trust and Courage
    2. Transparency and Experimentation
    3. Psychological Safety: The Secret Ingredient for a Decision Intelligence Organization
    4. Embracing Failure and Forging Forward
  18. Epilogue
  19. References
    1. Additional Resources
  20. Index
  21. End User License Agreement

Product information

  • Title: Decision Intelligence
  • Author(s): Thorsten Heilig, Ilhan Scheer
  • Release date: October 2023
  • Publisher(s): Wiley
  • ISBN: 9781394185061