Description

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.

Knowledge Automation: How to Implement Decision Management in Business Processes

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Hardback by Alan N. Fish , James Taylor

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A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business... Read more

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

    Number of Pages: 208

    Non Fiction , Business, Finance & Law

    Description

    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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