Analytical models are high-value assets that play an important role in making better decisions. SAS Model Manager streamlines the tedious and often error-prone steps of creating, managing, deploying, monitoring and operationalizing analytic models, enabling you to quickly put "best" models into production. The performance monitoring and retraining capabilities help users take quick actions if model performance is degrading, which could ultimately affect business outcomes.
Expedite management and deployment of 'best models.'
SAS Model Manager provides an efficient, repeatable process for registering, validating, deploying, monitoring and retraining models. Accountability metrics and version control status reports track who changes what, when control is passed from one area to another, etc. Models can be monitored from their creation to deployment into real-time or batch scoring systems until they are retired.
Ensure that models are up-to-date and accurate.
With its iterative framework, SAS Model Manager ensures analytical models are tested and compared, performance benchmarking reports are generated and as models are deployed, performance metrics are pushed to established reporting channels. Modelers can easily collaborate and reuse models, and automated alerts can be set to detect when the scoring results are changing over time, indicating model decay.
Ensure auditability and compliance.
Unique compliance and validation reporting capabilities in SAS Model Manager are highly sought-after by those facing heightened regulatory requirements. A centralized model repository, lifecycle templates and version control provide visibility into analytical processes and ensure that they can be audited to comply with internal governance and external regulations. In addition, Basel II risk model validation reports help organizations gain transparency by assessing the soundness of internal credit risk measurement systems, tracking down anomalies and answering regulator inquiries on demand.
Streamline analytical modeling processes.
SAS Model Manager provides an easy-to-access Web-based client (the SAS Workflow Console) that provides an automated and collaborative model management process. Users can track the progress through each step of the modeling project(s), and can create multiple, customized workflows for different types of models. Different users touching or interpreting a model will get a unified view of its current stage with access to meaningful information that will help them take relevant actions.
- Central, secure repository for managing analytical models
- Analytical workflow management
- Scoring-logic validation before models are exported to production
- Monitoring and reporting on model performance during test and production life cycles
- Overall lifecycle management of analytical models