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 revolutionizes analytical modeling by streamlining key processes, from creation to deployment. Targeting data scientists and MLOps engineers, it offers a no-code interface for model validation and efficient monitoring, ensuring models perform optimally while addressing challenges related to model governance and lifecycle management.

SAS Model Manager offers various pricing plans tailored for different user needs, with a free trial available for those wanting to explore its capabilities. Upgrading provides enhanced features like advanced monitoring tools and automated CI/CD pipelines, ensuring users maximize their modeling efficiency and governance practices.

SAS Model Manager features a user-friendly interface designed for seamless navigation. Its intuitive layout allows users to easily access key functions—like model validation and deployment—while innovative tools simplify management processes. This design elevates user experience, making the platform a go-to for efficient model handling.

How SAS works

Users start their journey on SAS Model Manager by signing up and onboarding, where they are introduced to the intuitive interface. From there, they can create and validate models using the no-code features, access integrated tools for monitoring performance, and seamlessly deploy their models across various environments.

Key Features for SAS

Automated CI/CD Pipeline

The Automated CI/CD Pipeline in SAS Model Manager enhances user efficiency by streamlining model deployment processes. Users benefit from customizable automation and standardized asset management, allowing for rapid updates and minimizing manual errors, thus improving productivity and reducing time-to-market for analytic models.

Model Validation Tools

SAS Model Manager provides intuitive Model Validation Tools that enable users to easily test and validate their models within an easy-to-use interface. This feature ensures accuracy and reliability, empowering data scientists to trust their models when transitioning from development to production environments.

Monitoring and Alerting System

The Monitoring and Alerting System in SAS Model Manager offers users vital insights into model performance, highlighting any data drift or decay. This feature allows stakeholders to receive timely alerts, promoting proactive management of models and ensuring optimal functionality throughout their lifecycle.

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