AI-Enabled Analytics for Business: A Roadmap for Becoming an Analytics Powerhouse
- Length: 240 pages
- Edition: 1
- Language: English
- Publisher: Wiley
- Publication Date: 2022-01-19
- ISBN-10: 1119736080
- ISBN-13: 9781119736080
- Sales Rank: #1916731 (See Top 100 Books)
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.
Cover Table of Contents Title Page Copyright Dedication Acknowledgments Introduction 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 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 PART III: Use Cases CHAPTER 9: Cases of Analytics Failures from Deviation to the Roadmap MINDSET COMMITMENT INSUFFICIENT PEOPLE AND PROCESSES TOOLBOX CONFUSION CONCLUSION NOTE CHAPTER 10: Use Case: Grabbing Defeat from the Jaws of Victory POC RESULTS—REALIZING THE THREE GOALS THE ROI OF AI FAILURE IS A CHOICE NOTE CHAPTER 11: Use Case: Incremental Improvements to Gain Insights STARTING ANALYTICS TEST AND LEARN ASSESSING ANALYTICS PERSONAS MOVING FORWARD NOTE CHAPTER 12: Use Case: Analytics Are for Everyone THE ROAD TO ANALYTICS STEPPING INTO ANALYTICS ANALYTICS IS FOR ALL Epilogue NOTES APPENDIX: Analytics Champion Framework: The Fundamental Qualifications, Skills, and Project Steps for the Analytics Champion INTRODUCTION ANALYTICS CHAMPION QUALIFICATIONS ANALYTICS CHAMPION SKILLSETS STARTING AN ANALYTICS PROJECT EPILOGUE NOTES About the Authors LAWRENCE S. MAISEL ROBERT J. ZWERLING JESPER H. SORENSEN About the Website Index End User License Agreement
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