SAS

About SAS

SAS Model Manager is designed for data scientists and MLOps engineers, offering a robust platform to streamline the analytical modeling lifecycle. Its main innovative feature is the automated Continuous Integration and Continuous Delivery (CI/CD) pipeline, facilitating faster model deployment, governance, and monitoring, solving complex modeling challenges efficiently.

SAS Model Manager offers flexible pricing plans tailored to diverse user needs, including options for individual users and enterprises. Each tier provides unique benefits such as access to advanced features, extended support, and discounts for long-term subscriptions. Exploring upgrade options can yield significant advantages for teams.

SAS Model Manager features a user-friendly interface that ensures a seamless navigation experience. Its well-structured layout streamlines access to essential tools and functionalities, making it easy for users to manage their modeling tasks effectively. The design incorporates unique features that prioritize user engagement and efficiency.

How SAS works

Users interact with SAS Model Manager by onboarding through simple registration, followed by an intuitive dashboard guiding them through key features. They can connect open-source tools, validate and deploy models within minutes, monitor performance, and receive alerts about model decay. This ease of use enhances productivity and collaboration among stakeholders.

Key Features for SAS

Automated CI/CD Pipeline

SAS Model Manager features an automated Continuous Integration and Continuous Delivery (CI/CD) pipeline, simplifying model deployment. This innovative capability allows users to streamline their workflows, enhance collaboration among teams, and significantly reduce time spent on manual processes, ultimately improving overall operational efficiency.

Model Validation

The model validation feature in SAS Model Manager ensures that all models can be tested easily within production environments. This no-code interface simplifies the validation process, minimizing errors and validating scoring logic, thus enabling teams to maintain high-quality analytics while reducing operational headaches.

Monitoring and Alerts

SAS Model Manager includes comprehensive monitoring and alert functionalities that track data, concept, and model drift. This key feature allows stakeholders to detect issues promptly, providing necessary alerts to minimize downtime and maintain model integrity, enhancing overall effectiveness in model management.