Knowledge Automation

How to Implement Decision Management in Business Processes

Business & Finance, Management & Leadership, Decision Making & Problem Solving
Cover of the book Knowledge Automation by Alan N. Fish, Wiley
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Author: Alan N. Fish ISBN: 9781118236796
Publisher: Wiley Publication: February 8, 2012
Imprint: Wiley Language: English
Author: Alan N. Fish
ISBN: 9781118236796
Publisher: Wiley
Publication: February 8, 2012
Imprint: Wiley
Language: 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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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