For every automation, there is a hidden service cost. In online transactions, customers still want the opportunity to receive explanations, advice and support, but current solutions (helpdesk support, FAQs, simple chatbots, …) are expensive or do not meet customer demands.

Knowledge-intensive processes incorporate lots of decisions and decision knowledge. In analogy with the BPMN standard, the Decision Model & Notation standard (DMN) was developed, that allows modeling decisions and processes separately. Decision table models offer unique features to capture the business logic of those decisions effectively and correctly by the business, and can be made explainable using plain natural language.

This tutorial takes you from the secrets behind knowledge-based decision intelligence to decision table methodology and explainable decision services, including best practices, examples and experiences, for modeling decision rules by domain experts in real business situations.