Easily register, modify, track, score, publish and report on your analytical models using a visual, web-based interface. Store models within folders or projects. Develop and validate candidate models. Assess candidate models for champion model selection. Then publish and monitor champion models to ensure optimal model performance.
Demo
See SAS® Model Manager in action.
Steve Sparano, Principal Product Manager at SAS, demonstrates how SAS Model Manager supports the analytical life cycle to track, govern, publish and monitor analytical model performance for your business.
Features
- Centralized model repository. Easily manage analytical models via a centralized, secure web-based repository.
- Analytical workflow management. Define and track custom workflows for model lifecycle management, including all phases – from problem-statement creation to model development and utilization.
- Model validation. Validate model scoring logic before models are pushed into production using a precise methodology and a system that automatically records each test the scoring engine performs.
- Performance monitoring and reporting. Automatically monitor and report on model performance during test and production cycles. Procedural templates document the validation performance and sign-off process, and an audit trail is created when the champion model is marked for production and the predecessor is retired.
- Overall model lifecycle management. Manage projects collaboratively using prebuilt model lifecycle templates.
This solution runs on SAS® Viya®, which has the breadth and depth to conquer any analytics challenge, from experimental to mission critical. SAS Viya extends the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and realize innovative results faster.