Description

Book Synopsis
A proven decision management methodology for increased profits and lowered risks

Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the informationbusiness knowledge and datarequired to make those decisions.

  • Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services
  • Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions
  • Proposes a simple top-down method for

    Table of Contents

    Foreword ix

    Preface xi

    Acknowledgments xvii

    Chapter 1: The Value of Knowledge 1

    The Economics of Knowledge 1

    The Knowledgeable Business 7

    Notes 14

    Chapter 2: Decisions in the Business Process 15

    Business Process Modeling 16

    Decision Points and Decision Services 17

    Redesigning Process Decisions 20

    Originations Process Template 33

    Approaches to Process Design 36

    Notes 39

    Chapter 3: Encapsulating Knowledge in Decision Services 41

    Business Rules 43

    Algorithms 52

    Predictive Analytics 56

    Putting It All Together 65

    Notes 68

    Chapter 4: Decision Requirements Analysis 71

    Principles 72

    Decision Requirements Diagram 73

    Draw 79

    Notes 91

    Chapter 5: Using DRA in Knowledge Automation Projects 93

    DRA in Project Management 94

    DRA in Knowledge Discovery 107

    DRA in Design 115

    DRA in Implementation 124

    The Knowledge Production Line 131

    Notes 133

    Chapter 6: Common Decision Patterns 135

    Implementation Types 135

    Collaborative Decision-Making 147

    Conclusion 155

    Glossary 159

    Suggested Reading 167

    About the Author 171

    Index 173

Knowledge Automation

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    A Hardback by Alan N. Fish, James Taylor

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      View other formats and editions of Knowledge Automation by Alan N. Fish

      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 09/03/2012
      ISBN13: 9781118094761, 978-1118094761
      ISBN10: 111809476X

      Description

      Book Synopsis
      A proven decision management methodology for increased profits and lowered risks

      Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the informationbusiness knowledge and datarequired to make those decisions.

      • Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services
      • Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions
      • Proposes a simple top-down method for

        Table of Contents

        Foreword ix

        Preface xi

        Acknowledgments xvii

        Chapter 1: The Value of Knowledge 1

        The Economics of Knowledge 1

        The Knowledgeable Business 7

        Notes 14

        Chapter 2: Decisions in the Business Process 15

        Business Process Modeling 16

        Decision Points and Decision Services 17

        Redesigning Process Decisions 20

        Originations Process Template 33

        Approaches to Process Design 36

        Notes 39

        Chapter 3: Encapsulating Knowledge in Decision Services 41

        Business Rules 43

        Algorithms 52

        Predictive Analytics 56

        Putting It All Together 65

        Notes 68

        Chapter 4: Decision Requirements Analysis 71

        Principles 72

        Decision Requirements Diagram 73

        Draw 79

        Notes 91

        Chapter 5: Using DRA in Knowledge Automation Projects 93

        DRA in Project Management 94

        DRA in Knowledge Discovery 107

        DRA in Design 115

        DRA in Implementation 124

        The Knowledge Production Line 131

        Notes 133

        Chapter 6: Common Decision Patterns 135

        Implementation Types 135

        Collaborative Decision-Making 147

        Conclusion 155

        Glossary 159

        Suggested Reading 167

        About the Author 171

        Index 173

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