AI-Enabled Analytics for Business : A Roadmap for Becoming an Analytics Powerhouse

Cover -- Title Page -- Copyright Page -- Contents -- 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.