SAS

About SAS

SAS Model Manager is designed for data scientists and MLOps engineers, streamlining the modeling lifecycle. Its innovative no-code interface allows users to validate models effortlessly, while monitoring features provide insights into data drift. By offering effective governance tools, SAS Model Manager addresses critical challenges in model management.

SAS Model Manager offers flexible pricing plans tailored to various business needs. Users can choose from a free trial option, providing hands-on experience, to premium tiers that include advanced features and dedicated support. Upgrading enhances capabilities for users aiming to maximize their modeling effectiveness.

SAS Model Manager features an intuitive user interface that facilitates seamless navigation across its tools. Its organized layout allows users to manage models easily and efficiently, while powerful dashboards provide quick access to key functionalities, enhancing the user experience for model management tasks.

How SAS works

Users begin their journey with SAS Model Manager by signing up for an account. Upon onboarding, they access a user-friendly interface where they can create and validate models with no coding required. The platform's features include tracking projects, automated CI/CD setup, and real-time monitoring for model performance, ensuring users efficiently manage their analytical processes.

Key Features for SAS

Automated CI/CD Pipeline

SAS Model Manager features an automated Continuous Integration and Continuous Delivery (CI/CD) pipeline. This key capability allows users to maximize efficiency in model deployment while ensuring standardized, repeatable processes, ultimately improving collaboration across teams and reducing manual efforts associated with model management.

Model Validation

Model validation within SAS Model Manager ensures that analytical models perform accurately in production environments. Users can easily test and validate models through a no-code interface, minimizing potential errors and providing confidence in the model's scoring logic throughout its lifecycle.

Real-Time Monitoring

SAS Model Manager offers real-time monitoring capabilities that illuminate data and model drift. This distinct feature empowers users to detect changes swiftly and manage model performance effectively, allowing them to alert stakeholders of potential issues, thereby reducing costly downtime and ensuring model reliability.