Knowledge Automation: How to Implement Decision Management in Business ProcessesJohn Wiley & Sons, 8 feb 2012 - 208 pagina's 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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activities algorithms allows analysis analytic analytic models application approach architecture areas automation BPMS BRMS bureau business knowledge business process business rules calculations called Chapter characteristics collected complete components consistency constraints create deci decision management decision points Decision Requirements decision service decision-making decline defined depend described detail determine discussed document domain DRAW evaluated example execute experts expressed Figure flow functionality human identify implementation important increments input interface involved iterative knowledge automation knowledge discovery logic multiple nodes object model operational organization particular phase possible predictive analytics present principle properties reasons recorded refer represent responsible risk roles routing rule set scope score scorecard shown shows simple single sion specific Stage strategy structure task technologies testing tree