Knowledge Automation – How to Implement Decision Management in Business Processes
How to Implement Decision Management in Business Processes
Gebonden Engels 2012 9781118094761Samenvatting
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 information business knowledge and data required 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 defining decision requirements and representing them in a single diagram
Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit
Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
Specificaties
Lezersrecensies
Inhoudsopgave
<p>Preface xi</p>
<p>Acknowledgments xvii</p>
<p>Chapter 1: The Value of Knowledge 1</p>
<p>The Economics of Knowledge 1</p>
<p>The Knowledgeable Business 7</p>
<p>Notes 14</p>
<p>Chapter 2: Decisions in the Business Process 15</p>
<p>Business Process Modeling 16</p>
<p>Decision Points and Decision Services 17</p>
<p>Redesigning Process Decisions 20</p>
<p>Originations Process Template 33</p>
<p>Approaches to Process Design 36</p>
<p>Notes 39</p>
<p>Chapter 3: Encapsulating Knowledge in Decision Services 41</p>
<p>Business Rules 43</p>
<p>Algorithms 52</p>
<p>Predictive Analytics 56</p>
<p>Putting It All Together 65</p>
<p>Notes 68</p>
<p>Chapter 4: Decision Requirements Analysis 71</p>
<p>Principles 72</p>
<p>Decision Requirements Diagram 73</p>
<p>DRAW 79</p>
<p>Notes 91</p>
<p>Chapter 5: Using DRA in Knowledge Automation Projects 93</p>
<p>DRA in Project Management 94</p>
<p>DRA in Knowledge Discovery 107</p>
<p>DRA in Design 115</p>
<p>DRA in Implementation 124</p>
<p>The Knowledge Production Line 131</p>
<p>Notes 133</p>
<p>Chapter 6: Common Decision Patterns 135</p>
<p>Implementation Types 135</p>
<p>Collaborative Decision–Making 147</p>
<p>Conclusion 155</p>
<p>Glossary 159</p>
<p>Suggested Reading 167</p>
<p>About the Author 171</p>
<p>Index 173</p>
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