Knowledge Automation How to Implement Decision Management in Business Processes
Aus der Reihe
Wiley Corporate F&A
59,99 €
inkl. gesetzl. MwSt.,
Lieferung nach Hause
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
06.03.2012
Verlag
John Wiley & SonsSeitenzahl
208
Maße (L/B/H)
23,5/15,7/1,6 cm
Gewicht
453 g
Auflage
1. Auflage
Sprache
Englisch
ISBN
978-1-118-09476-1
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.
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.
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