000			02420nam a2200325 a 4500
005			20250930134954.0
008			131107s2012 njua b 001 0 eng
020			_a9781118094761 (hbk.) _cRM214.72
039		9	_a201311220922 _bzabidah _y11-07-2013 _zrahah
040			_aDLC _cDLC _dDLC _dUKM
090			_aHD30.2.F578
090			_aHD30.2 _b.F578
100	1		_aFish, Alan N.
245	1	0	_aKnowledge automation : _bhow to implement decision management in business processes / _cAlan N. Fish.
260			_aHoboken, N.J. : _bJohn Wiley & Sons, _c2012.
300			_axvii,180 p. : _bill. _c24 cm.
490	1		_aWiley corporate F&A series.
500			_aIncludes index.
504			_aIncludes bibliographical references (p. 162-169) and index.
520			_a'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'-- _cProvided by publisher.
650		0	_aInformation technology. _960042
650		0	_aDecision making. _959541
907			_a.b15765052 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kHD30.2.F578
914			_avtls003544104
990			_aza
991			_aFakulti Ekonomi & Pengurusan
998			_at _b2013-07-11 _cm _da _feng _gnju _y0 _z.b15765052
999			_c556658 _d556658