Real-world decision modeling with DMN : [effective communication of decision-making] / James Taylor and Jan Purchase

Por: Taylor, JamesColaborador(es): Purchase, Jan [coautor]Tipo de material: TextoTextoDetalles de publicación: Tampa, Florida : Meghan-Kiffer Press, 2016 Descripción: 499 p. ; 24 cmISBN: 9780929652597Tema(s): Planificación estratégica | Sistemas de información en la gestiónResumen: Organizations make thousands of automated, operational decisions every week—from targeted pricing of products to determining which customers get automatic approval, from customizing website navigation and content to satisfying regulatory mandates. How well they make these decisions drives their profitability, makes or breaks their reputation and determines what fines they must pay. How these decisions are made is one of a company’s most important assets. All too often these decisions are not explicitly managed, assessed or even visible to the company’s business experts. Instead they are buried in the company’s software code and policy manuals, where they are hidden from view and may even be contradictory. Decision modeling gives you the power to change this, to make your organization’s decisions transparent, agile and scalable.Real-World Decision Modeling, coming in early 2016, is written by two of the field’s foremost experts and addresses why, when and how to model decisions using the Decision Model and Notation (DMN), a new open standard for representing business decisions. This comprehensive book includes:A complete explanation of the new Decision Model and Notation (DMN) standard from first principles, no experience requiredA description of the business benefits of decision modeling including metrics for where and when to apply the techniqueOver 220 practical illustrative examples and three worked examples A description of how to analyze business decisions and create models47 decision modeling best practices13 patterns and approaches A full explanation of how decision modeling fits with decision managementIllustrations of how decision modeling can be integrated with existing standards like BPMN process models, UML object models and ArchiMate business motivation modelsImportant concepts of decision modeling not included in the standardAdvice on how to build a decision practice within your organizationA guide to how to select a DMN toolsetA comprehensive glossary of all DMN terms and keywordsThe chapters of this book consider the following questions:Why model Business Decisions? The book describes the purpose and value of decision modeling and how it connects with decision management and decision management systems. It shows how decision modeling contributes to delivering seven measurable benefits of decision management and describes the business value of decision modeling. Six compelling reasons for business adoption of decision modeling are defined with reference to specific projects to which it has been applied.When should Decision Modeling be used? How can businesses target their decision modeling activity for maximum benefit? What properties of decisions can be used to determine the value of modeling them? The authors provide a checklist of features that directly indicate the business value of a decision. They describe how a company can: begin to adopt decision modeling, use it to define new decisions and mine their own business proce
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Organizations make thousands of automated, operational decisions every week—from targeted pricing of products to determining which customers get automatic approval, from customizing website navigation and content to satisfying regulatory mandates. How well they make these decisions drives their profitability, makes or breaks their reputation and determines what fines they must pay. How these decisions are made is one of a company’s most important assets. All too often these decisions are not explicitly managed, assessed or even visible to the company’s business experts. Instead they are buried in the company’s software code and policy manuals, where they are hidden from view and may even be contradictory. Decision modeling gives you the power to change this, to make your organization’s decisions transparent, agile and scalable.Real-World Decision Modeling, coming in early 2016, is written by two of the field’s foremost experts and addresses why, when and how to model decisions using the Decision Model and Notation (DMN), a new open standard for representing business decisions. This comprehensive book includes:A complete explanation of the new Decision Model and Notation (DMN) standard from first principles, no experience requiredA description of the business benefits of decision modeling including metrics for where and when to apply the techniqueOver 220 practical illustrative examples and three worked examples A description of how to analyze business decisions and create models47 decision modeling best practices13 patterns and approaches A full explanation of how decision modeling fits with decision managementIllustrations of how decision modeling can be integrated with existing standards like BPMN process models, UML object models and ArchiMate business motivation modelsImportant concepts of decision modeling not included in the standardAdvice on how to build a decision practice within your organizationA guide to how to select a DMN toolsetA comprehensive glossary of all DMN terms and keywordsThe chapters of this book consider the following questions:Why model Business Decisions? The book describes the purpose and value of decision modeling and how it connects with decision management and decision management systems. It shows how decision modeling contributes to delivering seven measurable benefits of decision management and describes the business value of decision modeling. Six compelling reasons for business adoption of decision modeling are defined with reference to specific projects to which it has been applied.When should Decision Modeling be used? How can businesses target their decision modeling activity for maximum benefit? What properties of decisions can be used to determine the value of modeling them? The authors provide a checklist of features that directly indicate the business value of a decision. They describe how a company can: begin to adopt decision modeling, use it to define new decisions and mine their own business proce

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