SAS
About SAS
SAS Model Manager empowers businesses to optimize their analytical modeling processes. Targeting data scientists and MLOps engineers, it offers a user-friendly interface and seamless integration with open-source tools. The platform simplifies deployment, monitoring, and governance, allowing teams to collaborate efficiently while accelerating time to insights.
SAS Model Manager offers various pricing tiers to fit diverse business needs. Each plan includes essential features for model management, with higher tiers providing advanced functionalities and support. Upgrading delivers enhanced capabilities for governance, monitoring, and deployment, ensuring users can effectively manage their modeling workflows.
SAS Model Manager features an intuitive user interface designed for seamless navigation and productivity. Its layout emphasizes ease of use, enhancing user experience with customizable dashboards, user-friendly access to models, and integrated tools that streamline workflow processes, ensuring users can efficiently manage their models and projects.
How SAS works
Users begin their journey with SAS Model Manager by onboarding their data and models into the platform. They can create, validate, and deploy models through a simple, no-code interface. The platform’s tools facilitate collaboration among data scientists and MLOps engineers, ensuring everyone has access to real-time model insights and governance, streamlining overall model management.
Key Features for SAS
Automated CI/CD Pipeline
With an automated Continuous Integration and Continuous Delivery (CI/CD) pipeline, SAS Model Manager boosts efficiency in model management. This feature simplifies updates and deployments while minimizing manual efforts, ensuring timely and accurate release of models into production, supporting agile analytics and decision-making for users.
Model Validation Tools
SAS Model Manager's model validation tools empower users to ensure models perform accurately and consistently. By validating model scoring logic through an easy-to-use interface, the platform minimizes potential errors and facilitates reliable decision-making, aligning analytics with business objectives effectively for better outcomes.
Ongoing Monitoring and Alerts
The ongoing monitoring and alert system in SAS Model Manager enhances model governance. Users receive notifications on data drift, model decay, and performance issues, ensuring proactive management of models. This feature enables stakeholders to respond swiftly to potential issues, reducing costly downtime and maintaining model reliability.
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