SAS

About SAS

SAS Model Manager is designed for data scientists and MLOps engineers, streamlining model creation, validation, deployment, and monitoring. It integrates open-source tools, providing a user-friendly interface for automated processes and model transparency, solving the complexities of managing model lifecycles efficiently.

SAS Model Manager offers flexible pricing tiers tailored to business needs, including free trials for exploration. Each plan comes with benefits such as model tracking, governance, and deployment options that maximize investment value. Upgrading enhances workflow automation and addresses enterprise scaling challenges.

SAS Model Manager features an intuitive interface, allowing users to navigate easily between model management tasks. This user-friendly design supports seamless integration of various tools and promotes efficient workflows, ensuring a streamlined user experience while working with complex analytical models effortlessly.

How SAS works

Users start by onboarding onto SAS Model Manager, where they can import data and create models. The platform guides them through validation processes with a no-code interface, enabling easy monitoring of model performance. Users can deploy models efficiently across different environments while receiving insights and alerts about drift or decay.

Key Features for SAS

Automated Continuous Integration and Continuous Delivery (CI/CD)

The automated CI/CD feature of SAS Model Manager streamlines the deployment of analytical models. By maximizing efficiency and reducing manual efforts, it allows data scientists to focus more on innovation while ensuring timely updates and robust performance in production environments.

Model Validation and Testing

SAS Model Manager's model validation features maximize reliability by testing scoring logic within a no-code environment. This ensures that models perform well across various scenarios, reducing operational headaches and providing stakeholders with confidence in the analytical outcomes.

Model Monitoring and Alerts

SAS Model Manager includes robust monitoring capabilities to detect data, concept, and model drift. This feature keeps stakeholders informed of changes in model performance, ensuring timely interventions and minimizing downtime caused by model degradation or inaccuracies.