A proven decision management methodology for increased profitsand lowered risks
Knowledge Automation: How to Implement Decision Management inBusiness Processes describes a simple but comprehensivemethodology for decision management projects, which use businessrules and predictive analytics to optimize and automate small,high-volume business decisions. It includes Decision RequirementsAnalysis (DRA), a new method for taking the crucial first step inany IT project to implement decision management: defining a set ofbusiness decisions and identifying all theinformation--business knowledge and data--required tomake those decisions.
* Describes all the stages in automating business processes, frombusiness process modeling down to the implementation of decisionservices
* Addresses how to use business rules and predictive analytics tooptimize and automate small, high-volume business decisions
* Proposes a simple "top-down" method for defining decisionrequirements and representing them in a single diagram
* Shows how clear requirements can allow decision managementprojects to be run with reduced risk and increased profit
Nontechnical and accessible, Knowledge Automation revealshow DRA is destined to become a standard technique in the businessanalysis and project management toolbox.