Intro -- Knowledge Automation -- Contents -- Foreword -- Preface -- Acknowledgments -- Chapter 1: The Value of Knowledge -- The Economics of Knowledge -- The Knowledgeable Business -- Notes -- Chapter 2: Decisions in the Business Process -- Business Process Modeling -- Decision Points and Decision Services -- Redesigning Process Decisions -- Originations Process Template -- Approaches to Process Design -- Notes -- Chapter 3: Encapsulating Knowledge in Decision Services -- Business Rules -- Algorithms -- Predictive Analytics -- Putting It All Together -- Notes -- Chapter 4: Decision Requirements Analysis -- Principles -- Decision Requirements Diagram -- DRAW -- Notes -- Chapter 5: Using DRA in Knowledge Automation Projects -- DRA in Project Management -- DRA in Knowledge Discovery -- DRA in Design -- DRA in Implementation -- The Knowledge Production Line -- Notes -- Chapter 6: Common Decision Patterns -- Implementation Types -- Collaborative Decision-Making -- Conclusion -- Glossary -- Suggested Reading -- About the Author -- Index.

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.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.