Description
We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance.
Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future.
- Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities
- Empower better, smarter decision making by implementing AI-enabled analytics decision support tools
- Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance
- Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making
AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.
Table of Contents
Acknowledgments ix
Introduction XI
Part I Fundamentals 1
Chapter 1 A Primer on AI-Enabled Analytics for Business 3
Chapter 2 Why AI-Enabled Analytics Is Essential for Business 17
Chapter 3 Myths and Misconceptions About Analytics 27
Chapter 4 Applications of AI-Enabled Analytics 39
Part II Roadmap 57
Chapter 5 Roadmap for How to Implement AI-Enabled Analytics in Business 59
Chapter 6 Executive Responsibilities to Implement Analytics 87
Chapter 7 Implementing Analytics 97
Chapter 8 The Role of Analytics in Strategic Decisions 109
Part III Use Cases 121
Chapter 9 Cases of Analytics Failures from Deviation to the Roadmap 123
Chapter 10 Use Case: Grabbing Defeat from the Jaws of Victory 133
Chapter 11 Use Case: Incremental Improvements to Gain Insights 143
Chapter 12 Use Case: Analytics Are for Everyone 151
Epilogue 157
Appendix – Analytics Champion Framework 159
About the Authors 209
About the Website 215
Index 217
