Dmn Method And Style
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Dmn Method And Style
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Author : Bruce Silver
language : en
Publisher:
Release Date : 2024-01-03
Dmn Method And Style written by Bruce Silver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-03 with Business & Economics categories.
Comprehensive guide to DMN, the standard for Low-Code model-based decision automation. Completely revised from 2nd edition, updated to draft DMN 1.6 version, includes DMN Cookbook. Many practical examples, with 271 diagrams and tables.
Dmn Method And Style 2nd Edition
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Author : Bruce Silver
language : en
Publisher:
Release Date : 2018-09-28
Dmn Method And Style 2nd Edition written by Bruce Silver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-28 with Business & Economics categories.
Business-oriented guide to the new Decision Model and Notation standard, completely revised and updated to DMN 1.2. Many practical examples, 171 tables and diagrams.
Dmn Method And Style
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Author : Bruce Silver
language : en
Publisher:
Release Date : 2016-01-15
Dmn Method And Style written by Bruce Silver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-15 with categories.
Business Decision Management is a technology-assisted practice of defining, analyzing, and maintaining the decision logic that drives interactions with customers, suppliers, and employees. For many years, subject matter experts created text-based "requirements" and handed them over to programmers for implementation on a Business Rule Engine. The Decision Model and Notation (DMN) now offers a better way: decision logic precisely defined and maintained by subject matter experts themselves, using business-friendly graphical models that can be automatically validated for completeness and consistency. Since DMN is an industry standard, the meaning of a decision model does not depend on the tool used to create it or some consultant's methodology. It's defined by a specification. And best of all, DMN models are directly executable, so What You See Is What You Get. "DMN Method and Style" is your guide to the new standard and to the features and benefits of Business Decision Management. It explains not only the shapes and symbols used to describe end-to-end decision logic in a Decision Requirements Diagram (DRD), but how to properly decompose the top-level decision into a network of supporting decisions and input data. It also shows you how to define the detailed logic of each decision in the diagram using decision tables, literal expressions, and reusable logic blocks called business knowledge models. Like its predecessor "BPMN Method and Style," the book suggests best practices, in the form of style rules and a modeling methodology, for capturing the end-to-end decision logic in a way that is complete, consistent, and clear from the printed DRD and tabular expressions alone.
Practical Business Process Modeling And Analysis
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Author : Jim Sinur
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-08-29
Practical Business Process Modeling And Analysis written by Jim Sinur and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-29 with Computers categories.
Learn practical techniques from leading AI and business process experts to streamline operations, drive digital transformation, and accelerate your career growth Key Features Navigate common challenges in digital transformation to ensure seamless process adoption across teams Master BPMN, process modeling, and automation launch strategies to streamline workflows and boost efficiency Work with practical frameworks to align business processes with strategic long-term growth Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionEvery business transformation begins with one question, “How can we do this better?” Whether it’s eliminating inefficiencies, optimizing business operations, or reimagining entire workflows with the help of AI, success depends on understanding and optimizing business processes. However, finding the right approach can be challenging with shifting market demands and evolving technologies. In this book, three seasoned experts in BPM, automation, and AI-driven process optimization guide you through frameworks, techniques, and tools that drive digital transformation by helping you explore business process modelling, before and after process execution. You'll visualize complex workflows, establish scalable process architectures that drive digital transformation, and integrate automation for efficiency. With insights into BPMN, business value analysis, and field-tested consulting guidance, you'll see how process-led design and data-driven decisions can lead to smarter, more agile operations. Through real-world examples, you’ll grasp how leading organizations have optimized their processes and how you can apply the same principles in your digital change program. By the end of this book, you’ll be able to identify, design, analyze, and transform business processes for measurable impact, as well as master the synergy of technology, process, and strategy to build systems that drive sustainable growth.What you will learn Explore the role of business process in digital transformation Build scalable process architectures for long-term efficiency and adaptability Find out how to avoid common pitfalls in digital transformation and automation programs Apply real-world strategies and frameworks to optimize operations effectively Discover methods and tools to enhance business process analysis and decision-making See how the BPMN can be extended for scenarios like process simulation and risk management Measure and maximize business value from process transformation efforts Who this book is for This book is ideal for business analysts, process improvement practitioners, project managers, consultants, operations managers, and IT leaders involved in process design, streamlining workflows, and integrating AI and automation. No prior experience with BPMN or automation is needed, though familiarity with business processes will be helpful.
Advances In Computational Methods And Technologies In Aeronautics And Industry
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Author : Dietrich Knoerzer
language : en
Publisher: Springer Nature
Release Date : 2022-12-12
Advances In Computational Methods And Technologies In Aeronautics And Industry written by Dietrich Knoerzer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Technology & Engineering categories.
This book provides research results using computational methods for fluid dynamics and engineering problems in aeronautics and other scientific and industrial applications. It gives an overview on the state of the art and the technology trends requiring advanced computational methods towards digitization in industrial and scientific processes. The chapters are based on Special Technology Sessions of the WCCM-ECCOMAS Virtual Congress 2021.
Fundamentals Of Business Process Management
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Author : Marlon Dumas
language : en
Publisher: Springer
Release Date : 2018-03-23
Fundamentals Of Business Process Management written by Marlon Dumas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-23 with Computers categories.
This textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-disciplinary approach. The presentation is illustrated using the BPMN industry standard defined by the Object Management Group and widely endorsed by practitioners and vendors worldwide. In addition to explaining the relevant conceptual background, the book provides dozens of examples, more than 230 exercises – many with solutions – and numerous suggestions for further reading. This second edition includes extended and completely revised chapters on process identification, process discovery, qualitative process analysis, process redesign, process automation and process monitoring. A new chapter on BPM as an enterprise capability has been added, which expands the scope of the book to encompass topics such as the strategic alignment and governance of BPM initiatives. The textbook is the result of many years of combined teaching experience of the authors, both at the undergraduate and graduate levels as well as in the context of professional training. Students and professionals from both business management and computer science will benefit from the step-by-step style of the textbook and its focus on fundamental concepts and proven methods. Lecturers will appreciate the class-tested format and the additional teaching material available on the accompanying website.
Knowledge Science Engineering And Management
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Author : Christos Douligeris
language : en
Publisher: Springer Nature
Release Date : 2019-08-20
Knowledge Science Engineering And Management written by Christos Douligeris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-20 with Computers categories.
This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications. The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning.
Knowledge Science Engineering And Management
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Author : Han Qiu
language : en
Publisher: Springer Nature
Release Date : 2021-08-07
Knowledge Science Engineering And Management written by Han Qiu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-07 with Computers categories.
This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.
Knowledge Science Engineering And Management
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Author : Gerard Memmi
language : en
Publisher: Springer Nature
Release Date : 2022-07-19
Knowledge Science Engineering And Management written by Gerard Memmi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-19 with Computers categories.
The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6–8, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections: Volume I:Knowledge Science with Learning and AI (KSLA) Volume II:Knowledge Engineering Research and Applications (KERA) Volume III:Knowledge Management with Optimization and Security (KMOS)
Best Practices For Knowledge Workers
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Author : Sandy Kemsley
language : en
Publisher: Future Strategies Inc.
Release Date : 2019-10-23
Best Practices For Knowledge Workers written by Sandy Kemsley and has been published by Future Strategies Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-23 with Business & Economics categories.
Best Practices for Knowledge Workers describes ACM in the current era of digitization, Internet of Things (IoT), artificial intelligence (AI), intelligent BPMS and BPM Everywhere. You will learn how support of adaptive, data-driven processes empowers knowledge workers to know in real-time what is happening at the edge points, and to take actions through the combination of rule-driven guidance and their own know-how. It is not a traditionally-automated system but intelligent automation, where technology doesn’t merely replace human decision-making but extends the reach of the knowledge worker; making IoT data actionable. As Sandy Kemsley points out in her foreword: As adaptive case management (ACM) systems mature, we are moving beyond simple systems that allow knowledge workers to define ad hoc processes, to creating more intelligent systems that support and guide them. Knowledge workers still need to dynamically add information, define activities and collaborate with others in order to get their work done, but those are now just the table stakes in a world of big data and intelligent agents. To drive innovation and maintain operational efficiencies, we need to augment case work – typically seen as relying primarily on human intelligence – with machine intelligence. In other words, we need intelligent ACM. Highly predictable work is easy to support using traditional programming techniques, while unpredictable work cannot be accurately scripted in advance, and thus requires the involvement of the knowledge workers themselves. The core element of Adaptive Case Management (ACM) is the support for real-time decision-making by knowledge workers. In award-winning case studies covering industries as a diverse as law enforcement, transportation, insurance, banking, state services, and healthcare, you will find instructive examples for how to transform your own organization. This important book follows these ground-breaking best-sellers on ACM; Thriving on Adaptability, Empowering Knowledge Workers, Taming the Unpredictable, How Knowledge Workers Get Things Done, and Mastering the Unpredictable and provides important papers by thought-leaders in this field, together with practical examples, detailed ACM case studies and product reviews.