Real-World Decision Modeling with DMN - Softcover

Taylor PhD, James; Purchase, Jan

Softcover

ISBN 10: 0929652592 ISBN 13: 9780929652597

Publisher: Jtonedm, 2016

Synopsis

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.

Written by two of the field’s foremost experts, this book addresses why, when and how to model decisions using the Decision Model and Notation (DMN), a new open standard for representing business decisions.

About this title

About the Author

It has been 14 or more years since I first used the phrase "Decision Management" to describe the use of technology for the systematic identification, automation and improvement of operational business decisions. At the heart of any successful Decision Management project is a clear and thorough understanding of the decisions involved. The advent of the Decision Model and Notation (DMN) standard has given us an industry standard way to model decisions using proven techniques and approaches. Decision modeling with DMN is a powerful, real-world approach to unambiguously describe decision-making, specify analytic requirements and develop decision logic--business rules.
This book is not just a description of the standard and the notation, but a distillation of many hard-earned lessons from real projects. Jan and I bring different perspectives having worked on different kind of projects. As we brought this experience together it became clear that we shared a common approach and agreed on a wide ranging set of best practices. This book is the result.
James Taylor
Palo Alto, California 

All elegant and empowering innovations--for example, the wheel, the jet-engine, the printing press and the internet--have one thing in common: after they are adopted, it becomes hard to imagine what the world would be like without them. We make no lesser claim for Decision Management and Decision Modeling. Once organizations routinely and consciously capture, manage, improve and are able to justify their key decisions, they will wonder how automated systems ever evolved without this facility. Furthermore, as laws such as the European General Data Protection Regulation (GDPR) and industry compliance legislation insist with increasing force that all automated systems must be capable of comprehensively explaining their behavior after the fact, there will be an ever increasing legal requirement for a more rigorous approach to automated decision-making. The increasing use of machine learning in automation will also increase the need for regimented governance of decisions and the ability to explain counterintuitive decision out-comes--both use cases for decision modeling.
Like James, I have seen Decision Modeling transform the way organizations run their businesses and give their subject matter experts a truly effective means of communicating their ideas. Our goal for this book has been to present the case for decision modeling and bring the benefits of this simple idea to new organizations.
Jan Purchase
London, United Kingdom

Edition details

• Publisher: Jtonedm
• Publication date: 2016
• Language: English
• ISBN 10: 0929652592
• ISBN 13: 9780929652597
• Binding: Paperback
• Number of pages: 500