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.
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