Developing decision services

In a decision service, you create and manage the models you need to implement your decisions.

Defining data
After identifying the data involved in the decision-making process, you can model this data by creating a data model. Advanced users can also create external libraries to enrich the data model.
Building decision models
Decision models allow you to capture business decisions in a decision diagram, an easily understood representation that includes the data that is needed to make these decisions.
Building task models
Task models allow you to implement your business logic with rules, and control the flow execution of these rules in a ruleflow.
Integrating machine learning
Use machine learning to make decisions based on the analysis of past data.
Authoring the decision logic
You must author the decision logic that drives each decision. You express the decision logic with business rules and decision tables.
Testing models
As you build decision models, task models, and predictive models, you can verify that they produce the results you expect by running them with test data.
Creating decision operations
In a decision operation, you define an entry-point to a model. A decision service must contain at least one decision operation to be deployed.

Parent topic: Decision automations