Next to the rise of new data science techniques and applications for data-driven decision making, the modeling and automation of the numerous small decisions the business has to take every day is gaining increasing attention. Decision modeling enables this decision transformation in the digital world. And it does so in a way which ensures correctness, consistency and compliance from the start.

With increasing demand for business process automation, the need for the automation of routine business decisions grows: granting a loan, insurance or premium; simple diagnosis; etc. In order to improve and speed up processes, also decisions have to be improved and automated. The business logic of those decisions must be captured effectively by the business. Decision logic can be expressed in many forms of which decision tables are the most important, with unique features such as consistency, completeness, correctness.

This tutorial takes you from the secrets behind knowledge-based decision intelligence to decision table methodology, including best practices, examples and experiences, for modeling decision rules by domain experts in real business situations (insurance, finance, legislation, operating procedures, …).

What you will lean:

• How to organize related decision rules into correct and agile decision tables
• A simple 8 step method to construct decision tables in the DMN standard
• How decision modeling can be used with, without, before or next to business process modeling
• And mainly: lessons from a long experience on how to use decision table models for business analysis in numerous application domains