Knowledge Automation by Alan N. Fish
How to Implement Decision Management in Business Processes (Wiley Corporate F&A)

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Synopsis

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 servicesAddresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisionsProposes a simple "top-down" method for defining decision requirements and representing them in a single diagramShows 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.

 

About Alan N. Fish

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ALAN N. FISH is Principal Consultant in Decision Solutions with FICO: the leader in Decision Management. He is an authority in the use of business rules for decision management with innovations including new methodologies for decision service analysis, design, and development, in particular the technique of Decision Requirements Analysis (DRA). He has over twenty-five years of experience in implementing decision-making systems and has been responsible for many significant IT projects at the forefront of current technology. He has published numerous papers covering such diverse topics as rule-based systems, multi-agent systems, human factors, robotics, and process management.
 
Published February 8, 2012 by Wiley. 180 pages
Genres: Business & Economics. Non-fiction

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