SAS
About SAS
SAS Model Manager supports data scientists and MLOps engineers by streamlining the entire analytical model life cycle. With features that enable easy model creation, validation, deployment, and monitoring, SAS Model Manager helps organizations govern their models efficiently, ensuring quality and regulatory compliance while enhancing collaboration across teams.
SAS offers a flexible pricing structure for Model Manager, catering to organizations of different sizes. Users can choose from various subscription tiers, each delivering distinct value, including enhancements for simplifying model management and deployment. Upgrading allows access to advanced features that drive efficiency and improve analytical outcomes.
The user interface of SAS Model Manager is designed for ease of navigation and usability, featuring intuitive layouts that allow users to track models and projects effortlessly. Advanced functionalities enhance user experience, providing easy access to tools for model governance, monitoring, and management, making it a seamless implementational tool.
How SAS works
Users begin their journey with SAS Model Manager by signing up and onboarding through a simple registration process. Once onboarded, they can connect their data sources and use the platform’s intuitive interface to create and validate models. Users can manage their projects, deploy models efficiently, and monitor performance, all while benefiting from built-in automation and collaboration features that enhance model management.
Key Features for SAS
Automated CI/CD Pipeline
The automated Continuous Integration and Continuous Delivery (CI/CD) pipeline of SAS Model Manager revolutionizes model management. This feature minimizes manual tasks and boosts efficiency, allowing teams to streamline deployment processes and ensure that models are consistently refined. It enhances collaboration and speeds up time to market, enabling agile analytics.
Model Validation Tools
SAS Model Manager offers advanced model validation tools that simplify the testing phase, ensuring models run smoothly in production. These easy-to-use, no-code interfaces allow users to validate scoring logic, reducing the chances of errors. This feature enhances reliability, allowing organizations to trust their model outputs confidently.
Monitoring and Alerting
The comprehensive monitoring and alerting system in SAS Model Manager automatically detects data, concept, and model drift. This ensures ongoing model performance optimization. By alerting stakeholders of potential model decay, users can proactively address issues, safeguarding the integrity of analytical outcomes and minimizing costly downtimes.
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