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Title details for Knowledge Automation by Alan N. Fish - Available

Knowledge Automation

by Alan N. Fish
James Taylor
ebook
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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.

    Expand title description text
    Series: Wiley Corporate F&A Publisher: Wiley

    OverDrive Read

    • ISBN: 9781118236796
    • Release date: February 7, 2012

    EPUB ebook

    • ISBN: 9781118236796
    • File size: 1639 KB
    • Release date: February 7, 2012

    Formats

    OverDrive Read
    EPUB ebook

    subjects

    Business Nonfiction

    Languages

    English

    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.

    Expand title description text
    Business Nonfiction