Workshop Leader: Dr. Bruce Silver
This class provides comprehensive instruction in use of the new Decision Modeling and Notation standard, or DMN. DMN lets business analysts and other business users define the decision logic underlying key business operations, including regulatory compliance, pricing, lending and credit approval, claims, and more.
DMN 1.1 is a new industry standard for rules-based business decision modeling. A DMN model can diagram the structure of a business decision end-to-end and detail the decision logic in the form of decision tables and literal expressions.
Participants will learn how to model “end-to-end” decision logic in a Decision Requirements Diagram (DRD), how to define executable logic for each decision node in the diagram using a combination of decision tables and literal expressions, and how to properly link the DMN model with an associated BPMN process model. In addition, students will learn a top-down decision modeling methodology, a systematic approach to decomposing the DRD starting from the business decision as a whole, using common decision logic patterns.
1. What is DMN?
2. DMN by Example
- Decision tables
- Literal expressions
- Testing and analysis
3. Method and Style: Routing Decisions
4. Continuing the Journey
- Decomposing End-to-End Decision Logic
- Decision Logic Patterns
- Classification Patterns
- Choosing a DMN Tool
- DMN Resources
Dr. Bruce Silver is a globally recognized expert on business process modeling and decision modeling, as well as the founder and principal of BPMessentials.com, the leading worldwide provider of BPMN training and certification. He was a leading contributor to the BPMN 2.0 specification in OMG and wrote the leading text on the subject, BPMN Method & Style, now in 2nd edition. In 2015, I joined the DMN 1.1 Task Force and remains heavily involved the development the new decision modeling standard. His newest book, DMN Method and Style promises to do for decision modeling what BPMN Method and Style did for process modeling. Dr. Silver holds Physics degrees from Princeton (AB, Phi Beta Kappa) and MIT (PhD), and four patents in electronic imaging.