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.
Table of Content
Preface To The Second Edition
Why Write This Book?
This Book In Context
Who Should Read This Book
The Value Of Decision Management And Decision Modeling
How And When To Apply Decision Modeling
Introduction To The DMN Decision Modeling Standard
Business Context
The Decision Modeling And Notation (DMN) Standard
Glossary
Integration With Other Models
Advanced Business Decision Modeling In DMN
Methodology Overview
Dispelling Some Common Misconceptions
Core Best Practices
Advanced Best Practices
Patterns, Anti-Patterns And Approaches
Examples
Establishing A Decision Modeling Practice
Appendix A. Glossary And Resources
Appendix B. Feel Reference
About The Authors
About the author
Jan Purchase has been working in investment banking for 25 years, the last 20 of which he has focused exclusively on the use of business decisions, decision modeling (in DMN), business rules and the integration of artificial intelligence (including machine learning) with business decisions. He is a founder of Lux Magi Ltd, a company specializing in delivering the benefits of these concepts to financial organizations, as well as providing training and mentoring in their use. Lux Magi has applied decision modeling and artificial intelligence to automate financial compliance, insurance pricing, capital markets risk management and environmental monitoring. In 2021, Lux Magi was one of the first companies to pioneer the integration of large language models and decision modeling for corporate fact checking. Jan has maintained a blog ‘Decision Management for Finance’ since 2010, highlighting the practical lessons learned from applying decision modeling and machine learning at scale and providing useful feedback to clients and vendor partners. He has published many white papers, hosted multiple webinars and chaired public coaching sessions on the application of decision modeling and artificial intelligence to problems in finance.More ebooks from the same author(s) / Editor
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