how to implement decision management in business processes /
First Statement of Responsibility
Alan N. Fish.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Hoboken, N.J. :
Name of Publisher, Distributor, etc.
Wiley,
Date of Publication, Distribution, etc.
c2012.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xvii,180 p. :
Other Physical Details
ill.
Dimensions
24 cm.
SERIES
Series Title
Wiley corporate F&A series
GENERAL NOTES
Text of Note
Includes index.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (p. 162-169) and index.
SUMMARY OR ABSTRACT
Text of Note
"A proven decision management methodology for increased profits and lowered risksAutomating Decisions 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, Automating Decisions in Business Processes reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox"--
Text of Note
"A proven decision management methodology for increased profits and lowered risksAutomating Decisions 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, Automating Decisions in Business Processes reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox"--