Knowledge Automation How to Implement Decision Management in Business Processes
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Wiley Corporate F&A
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:PDF
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Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
07.02.2012
Verlag
WileySeitenzahl
208 (Printausgabe)
Dateigröße
13615 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118223512
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.
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.
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