Best practices for modeling decisions

This tutorial demonstrates how to build and structure decision models using custom data types, decision nodes, and advanced modeling techniques.

Learning objectives

You will learn how to:

  • Create custom data types in a data model.
  • Create a decision model.
  • Define the decision logic of decision nodes.
  • Break complex decision logic into smaller dependent decisions.
  • Simplify complex decision diagrams by grouping related nodes into composite types.
  • Use multi-valued variables, attributes, and quantified rules.
  • Use submodels.

Audience

This sample is designed for technical and business users who want to learn the best practices for modeling decisions in Decision Intelligence Client Managed Software.

Time required

1 hour

Prerequisites

You should have access to Decision Intelligence. Decision Intelligence includes Decision Designer, a comprehensive authoring environment where you can develop, test, and deploy decision services.

Tasks

Note: The solutions for tasks 2 to 8 are available through the New decision service wizard under Practice tutorials.