SAS
About SAS
SAS Model Manager simplifies the analytical modeling life cycle for data scientists and MLOps engineers. With features like versioning, governance, and quick deployment, it empowers users to track projects and models effectively. This unique platform enhances collaboration by integrating seamlessly with various open-source tools, ultimately boosting analytical efficiency.
SAS Model Manager offers flexible pricing plans tailored to organizations of all sizes. Users can start with a free trial to experience its robust features. Upgrading unlocks advanced integrations and enhanced support, ensuring businesses maximize their model management capabilities for better decision-making and efficiency.
SAS Model Manager features an intuitive user interface designed for seamless navigation. Users benefit from a clean layout that presents key functionalities clearly, enhances usability with no-code interfaces, and allows for easy model testing and deployment, making it an ideal choice for efficient model lifecycle management.
How SAS works
Users start with SAS Model Manager by onboarding their data and models into the platform. They navigate an intuitive interface to validate model scoring logic using no-code methods. The platform allows seamless project tracking and model governance. Users can deploy models quickly across various environments while taking advantage of advanced monitoring features, ensuring efficient management of the modeling life cycle.
Key Features for SAS
Streamlined Deployment
SAS Model Manager's streamlined deployment feature enhances model efficiency by packaging models for rapid deployment across different environments. Users benefit by minimizing downtime, ensuring that they can implement and utilize their analytical models swiftly and effectively within the appropriate settings.
Automated Continuous Integration/Delivery (CI/CD)
The automated CI/CD pipeline in SAS Model Manager maximizes operational efficiency. It reduces manual efforts and standardizes modeling assets, allowing organizations to automate processes seamlessly. This feature empowers users to implement customization and ensure timely model updates, significantly enhancing productivity and governance.
Ongoing Monitoring and Explainability
SAS Model Manager includes ongoing monitoring tools that illuminate data drift and model performance. This unique feature provides stakeholders with insights into model decay, enhancing decision-making while ensuring models remain accurate and impactful over time, thereby facilitating responsible model management.
