(latest books shown first)
- Digital Decisioning: Using Decision Management to Deliver Business Impact from AI by James Taylor, 2019
Digital Decisioning unlocks the business value of AI. This book is based on dozens of successful projects around the world. It is a practical how-to guide, aimed at managers, not technical teams, and it will focus your efforts to apply machine learning and AI. It includes many real stories of real implementations, real companies, showing what can be done with Digital Decisioning.
- Goal-Oriented Decision Modeling with OpenRules by Jacob Feldman, 2019
This is a practical guide that describes how to apply a goal-oriented approach to build real-world business decision models using only MS Excel and OpenRules. This guide is oriented to subject matter experts giving them a practical while simple methodological approach and supporting open-source software to build their own decision models.
- DMN Cookbook by
DMN Cookbook explains how the DMN language works and how it differs from traditional rule languages. It goes on to provide over 50 recipes illustrating DMN solutions to common problems facing decision logic developers, from manipulating strings, numbers, date/times, and lists to table queries and joins, iteration, recursion, and set operations.
- DMN in Action with OpenRules by Jacob Feldman, 2017
The guide is oriented to people who want to learn how to build operational decision models. It is based on the DMN Standard and uses OpenRules to represent and execute different decision models. The book is accompanied by the software that allows you to open, and analyze, and execute all decision models discussed in this book and create your own decision models.
- Real-World Decision Modeling with DMN by James Taylor and Jan Purchase, 2016
Written by two decision modeling 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
- DMN Method and Style: The Practitioner’s Guide to Decision Modeling with Business Rules by Bruce Silver, 2016.
This is the very first book that not only describes the latest version 1.1 of the DMN standard (not even being officially released yet) but also provides methodological recommendations for practical DMN applications.
- Systems of Insight for Digital Transformation. Using IBM Operational Decision Manager Advanced and Predictive Analytics, IBM 2015
This IBM Redbook describes the latest insights of IBM Operational Decision Manager Advanced.
- The Microguide to Process and Decision Modeling in BPMN/DMN by Tom DeBevoise and James Taylor, 2014
This book focuses on the best practices in decision and process modeling. A number of these best practices have emerged, creating robust, agile, and traceable solutions. Decision management and decision modeling are critical, allowing for simpler, smarter, and more agile processes.
- Knowledge Automation: How to Implement Decision Management in Business Processes by Alan N. Fish, 2012
This book describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions.
- Building Business Solutions: Business Analysis with Business Rules by Ron G. Ross, Gladys S.W. Lam, 2011
This book provides a robust framework to help business analysts identify business solutions to business problems.
- The Decision Model by Barbara von Halle, Larry Goldberg, 2010
This book describes a Business Logic Framework for Linking Business and Technology using “The Decision Model” (TDM) methodology.
- Smart Enough Systems by James Taylor, Neil Raden, 2007
“This book shows how to use proven technology to make business processes smarter. It clearly makes the case that organizations need to optimize their operational decisions. It is a must-have reference for process professionals throughout your organization.” Jim Sinur
- Domain-Driven Design: Tackling Complexity in the Heart of Software by Eric Evans, 2003.
This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book incorporates numerous examples based on actual projects to illustrate the application of domain-driven design to real-world software development.
- Modeling the World in States by Stephen J. Mellor, Sally Shlaer, 1991.
This book explains how to formalize the dynamic behavior and interaction of objects using state models, and how then to derive the system’s required operations from the action of the state models.
- Modeling the World in Data by Sally Shlaer, Stephen J. Mellor, 1988
This book presents semantic modeling of data as a technique for systems analysis