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Beschreibung
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.
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.
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.
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.
Über den Autor
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.
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.
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Importe, Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Taschenbuch |
ISBN-13: | 9798218234669 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Taylor, James
Purchase, Jan |
Auflage: | Second Edition - Updated for DMN 1.5 |
Hersteller: | JTonEDM |
Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
Maße: | 235 x 191 x 26 mm |
Von/Mit: | James Taylor (u. a.) |
Erscheinungsdatum: | 24.07.2023 |
Gewicht: | 0,87 kg |
Über den Autor
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.
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.
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Importe, Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Taschenbuch |
ISBN-13: | 9798218234669 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Taylor, James
Purchase, Jan |
Auflage: | Second Edition - Updated for DMN 1.5 |
Hersteller: | JTonEDM |
Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
Maße: | 235 x 191 x 26 mm |
Von/Mit: | James Taylor (u. a.) |
Erscheinungsdatum: | 24.07.2023 |
Gewicht: | 0,87 kg |
Sicherheitshinweis