While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs.

Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You’ll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues.

• Break business decisions into stages that can be tackled using different skills from the analytical toolbox
• Identify and embrace uncertainty in decision making and protect against common human biases
• Customize optimal decisions to different customers using predictive and prescriptive methods and technologies
• Ask business questions that create high value through AI- and data-driven technologies

Table of Contents

Chapter 1. Analytical Thinking and the Al-Driven Enterprise

Chapter 2. Intro to Analytical Thinking

Chapter 3. Learning to Ask Good Business Questions

Chapter 4. Actions, Levers, and Decisions

Chapter 5. From Actions to Consequences: Learning How to Simplify

Chapter 6. Uncertainty

Chapter 7. Optimization

Chapter 8. Wrapping Up

Appendix. A Brief Introduction to Machine Learning