Real-World Decision Modeling with DMN - Taylor, James; Purchase, Jan
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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 powers customer satisfaction. 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…mehr

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Produktbeschreibung
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 powers customer satisfaction. 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.
Autorenporträt
James is the CEO and Principal Consultant of Decision Management Solutions. James is the leading expert in in Digital Decisioning, an emerging best practice for delivering business impact from AI and machine learning. James is also one of the leading experts in decision modeling and the new Decision Model Notation (DMN) standard. James has over 20 years developing software and solutions for clients and leads a successful team that helps our clients use Digital Decisioning in conjunction with supporting decisioning technologies, data science, AI, machine learning and predictive analytics to improve real-time operational decision-making. He has led Decision Management and decision modeling efforts for leading companies in insurance, banking, health management, manufacturing, travel and telecommunications. James is the author of "Digital Decisioning: Using Decision Management to Deliver Business Impact from AI" (2019), "Real-World Decision Modeling with DMN" (2016) with Jan Purchase, "Decision Management Systems: A practical guide to using business rules and predictive analytics" (2011), "The MicroGuide to Process and Decision Modeling in BPMN/DMN: Building More Effective Processes by Integrating Process Modeling with Decision Modeling" (2014) with Tom Debevoise and "Smart (Enough) Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions" (2007) with Neil Raden. He and has contributed chapters on Decision Management to multiple books as well as many articles to magazines.