SAS

SAS Model Manager simplifies the analytical modeling life cycle from creation to deployment.
August 13, 2024
Web App
SAS Website

About SAS

SAS Model Manager is designed for data scientists and MLOps engineers, streamlining model creation, validation, and deployment. It uniquely unifies model assets, enabling effective governance and monitoring of model lineage. With its user-friendly interface, SAS Model Manager solves the complex challenges associated with model operationalization and management.

SAS Model Manager provides flexible pricing plans tailored to different organizational needs, from basic model deployment to advanced analytics features. Users can start with a free trial and upgrade for enhanced capabilities, benefiting from an automated CI/CD pipeline and custom alerts to streamline model management.

The user interface of SAS Model Manager is designed for maximum efficiency and ease of use. Its layout facilitates seamless navigation through various features like model validation and monitoring, while its no-code options enhance accessibility for all users, ensuring that model management is straightforward and intuitive.

How SAS works

Users begin with SAS Model Manager by signing up and accessing the dashboard, where they can easily create and track modeling projects. The platform guides users through validation processes with a no-code interface, simplifying testing and ensuring accurate scoring. With built-in monitoring and alert systems, SAS Model Manager helps users maintain oversight of their models throughout their lifecycle.

Key Features for SAS

Unified Model Tracking

SAS Model Manager offers a unique unified model tracking feature that allows users to manage all model assets effectively. This centralization simplifies governance and versioning, enabling users to easily navigate through various projects, ensuring that all stakeholders have access to the relevant model information and documentation.

Automated Monitoring

The automated monitoring feature of SAS Model Manager continuously observes model performance. By illuminating data and concept drift, this innovation helps users quickly address issues, ensuring that models remain effective and relevant. This proactive approach minimizes downtime and enhances decision-making, adding significant value to analytics operations.

No-Code Model Validation

SAS Model Manager includes a no-code model validation feature that simplifies the process of testing models before deployment. This unique capability allows users to validate scoring logic effortlessly, ensuring accuracy and reliability while catering to both technical and non-technical users, making model management accessible for all teams.

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