Streamline analytical model deployment and automate operational business decisions.

Automate analytics-based decision making so your organization can function more efficiently.

Streamlined analytical model deployment

Provides one common and consistent method for accessing and managing information, selecting analytical models and defining the business rules that create the context for production use.

Common decision authoring & deployment environment

Simplifies validation of the entire decision flow. Provides complete version control that preserves documentation, testing traceability and continuity in an environment shared by IT and the business.

Simplified IT testing & extended analytical model use validation

Provides extended Hadoop environment support, in-database execution and full decision support – for both batch and web services – so consistent decision logic is defined once, and can be deployed many times.

Ability to import and recognize models from any code base

Lets you use models from SAS® Visual Data Mining and Machine Learning, SAS® Enterprise Miner, PMML and SAS® Factory Miner models and projects in decision flows.

Easy compliance validation

Combines all capabilities required for defining decision flows into a single solution – from data definitions through the model deployment process.

Model management

Use SAS Model Manager – available separately – for creating, validating, managing, deploying, monitoring and operationalizing analytical models.

Direct integration with SAS Visual Data Mining and Machine Learning

Integrates model development using automated registration. Speeds up common manual tasks, such as business rule definition and deployment.

Improve interactions with customers, partners, suppliers and employees.

SAS Decision Manager showing graphical decision flow on desktop monitor

Automate operational decisions.

Using operational data – informed by analytical models and governed by business rules – IT and business can jointly engineer and deploy operational decisions to automatically define the best action to take. From a single interface, you can natively integrate, manage and deploy SAS and Python analytical models, custom code and business rules, with identical logic for both batch and real-time web service execution. That means faster deployment and confidence in the integrity of your analytically driven operational decisions.

Standardize analytical model deployment with one shared environment.

A common decision authoring and deployment environment used by different specialists dramatically reduces the time IT must spend validating and deploying analytical models, including SAS, open source and custom code. Decisions are deployed with just a few clicks that generate environment-specific runtime decision code, eliminating the need to customize decision logic execution environments for both real time and batch. 

SAS Decision Manager showing rule test editor on desktop monitor
SAS Decision Manager showing rule test editor on desktop monitor

Integrate rules management processes. 

Shared, flexible processing control logic lets analysts select data and models from existing repositories. And defining business rules in context ensures continuity and shared terminology. 

Control operational decisions. 

Deliver consistent, analytically sound actions across your organization with managed, automated decisions defined for operational activities. A fully integrated application on a single framework means users’ activities are fully traceable and open to detailed investigation, which helps ensure governance and policy compliance.

SAS Decision Manager showing rule test plot on desktop monitor

Get to Know SAS® Decision Manager

SAS Viya


This solution runs on SAS® Viya®, which has the breadth and depth to conquer any analytics challenge, from experimental to mission critical. SAS Viya extends the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and realize innovative results faster.

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