AI-Enabled Analytics for Business. Lawrence S. Maisel

      

      Table of Contents

      1  Cover

      2  Title Page

      3  Copyright

      4  Dedication

      5  Acknowledgments

      6  Introduction

      7  PART I: Fundamentals CHAPTER 1: A Primer on AI-Enabled Analytics for Business AI AND ML—SIMILAR BUT DIFFERENT MACHINE LEARNING PRIMER ANALYTICS VS. ANALYSIS BI AND DATA VISUALIZATION VS. ANALYTICS BIASED VS. UNBIASED AI AND ROI CONCLUSION NOTES CHAPTER 2: Why AI-Enabled Analytics Is Essential for Business COMPETITIVENESS HUMAN JUDGMENT AND DECISION-MAKING CONCLUSION NOTES CHAPTER 3: Myths and Misconceptions About Analytics DATA SCIENTIST MISCONCEPTION AND MYTH SHOT IN THE DARK BASS-ACKWARD AI IS NOT IT BIG IS NOT BETTER NOT NOW NOTE TO EXECUTIVES CONCLUSION NOTES CHAPTER 4: Applications of AI-Enabled Analytics FINANCE SALES MANUFACTURING AND SUPPLY CHAIN DEMAND PLANNING AND INVENTORY CONCLUSION NOTES

      8  PART II: Roadmap CHAPTER 5: Roadmap for How to Implement AI-Enabled Analytics in Business CULTURE MINDSET PEOPLE PROCESS SYSTEMS THE ROADMAP FOR IMPLEMENTING AI-ENABLED ANALYTICS LAUNCHING THE CULTURE OF ANALYTICS CONCLUSION NOTES CHAPTER 6: Executive Responsibilities to Implement Analytics EXECUTIVE COMMITMENT ANALYTICS CHAMPION CHANGE MANAGEMENT CONCLUSION NOTES CHAPTER 7: Implementing Analytics DEFINE THE PROBLEM SELECT AN ANALYTICS SOFTWARE POC VENDOR PERFORM THE ANALYTICS POC BENCHMARK PEOPLE SKILLSET SCALE ANALYTICS ILLUSTRATIVE EXAMPLE OF THE ANALYTICS POC ANALYTICS POWERHOUSE CONCLUSION NOTE CHAPTER 8: The Role of Analytics in Strategic Decisions HOW WE TRICK OURSELVES TACTICS THAT AFFECT STRATEGY KEY PERFORMANCE INDICATORS (KPIs) AND STRATEGIC OBJECTIVES THE ANALYTICS SCORECARD™ CONCLUSION NOTES

      9  PART III: Use Cases CHAPTER 9: Cases of Analytics Failures from Deviation to the Roadmap MINDSET COMMITMENT INSUFFICIENT PEOPLE AND PROCESSES TOOLBOX