Description

Book Synopsis

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 peo

    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

AIEnabled Analytics for Business

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    A Hardback by Lawrence S. Maisel, Robert J. Zwerling, Jesper H. Sorensen

    2 in stock

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      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 21/03/2022
      ISBN13: 9781119736080, 978-1119736080
      ISBN10: 1119736080

      Description

      Book Synopsis

      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 peo

        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

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