SAS Intelligent Decisioning Features

Provides the ability to integrate data and transform data in order to facilitate decision-making.

Allows the user to connect to variety of applications across the business.

Allows users to write and edit business rules using business language, decision tables, etc.

Confirms whether your rules are executing as expected through testing them.

Provides the ability to create or integrate with predictive models.

Stores business rules in a catalog, to ensure business users can access them in their latest version.

Gives users the ability to collaborate on decision management, such as the ability to work simultaneously or annotate models.

Analyzes and compares the impact of automated decisions.`

Provides tools for simulating rules on real or fictitious operational data, and use the results to assess and refine the behavior of the rules.

Allows one to create or host applications built on top of business rules.

Provides APIs or other development tools for integrating with other applications.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives