SAS

About SAS

SAS Model Manager is designed for data scientists and MLOps engineers, streamlining the analytical modeling life cycle. Its innovative features include rapid model deployment and monitoring, which helps organizations maintain governance and efficiently manage model assets. This solution addresses the complexities of model management and enhances collaboration.

SAS Model Manager offers flexible pricing plans tailored to diverse business needs, providing valuable features across tiers. Users can start with a free trial to explore its capabilities and upgrade for advanced tools and automated processes that enhance model governance and operational efficiency for their organizations.

SAS Model Manager features a user-friendly interface that facilitates efficient navigation and access to tools for managing models. Its intuitive layout promotes a seamless experience, allowing users to easily validate, deploy, and monitor models—enhancing overall productivity and model governance for teams in various industries.

How SAS works

Users begin by onboarding onto SAS Model Manager, where they can import or create analytical models. The platform provides a no-code interface for validating models and assessing their scoring logic. Users can then package models for quick deployment across different environments, continuously monitor their performance, and receive alerts on model decay, ensuring seamless operation and collaboration.

Key Features for SAS

Automated Deployment

SAS Model Manager features automated deployment processes, allowing users to package models efficiently for various environments. This key feature reduces time and manual effort, enabling organizations to quickly bring models into production while ensuring scalability, which ultimately enhances overall operational efficiency.

Model Monitoring

The model monitoring feature in SAS Model Manager enables continual assessment of data and model performance. Users are alerted to any concept drift or model decay, which ensures that predictive models remain accurate and effective over time, thereby safeguarding business decisions and enhancing governance.

No-Code Validation

SAS Model Manager's no-code validation allows users to easily test model scoring logic. This unique feature reduces the technical barrier for non-experts, enabling faster validation processes, enhancing collaboration, and ensuring models meet necessary performance standards seamlessly.