SAS® Model Manager

Create, manage and deploy lifecycle analytics

Features

Central, secure repository for organizing models

• Project-based storage of models.
• Set up and maintain separate versions of champion and challenger models within a project.
• Map prerequisite data sources used for model reporting and score code testing.
• Event logging of all major actions, user-defined notes.
• Attach supporting documentation such as Microsoft Word documents, Microsoft Excel spreadsheets, HTML files, etc.).

Pre-built templates for registering standard data mining models

• Import SAS Enterprise Miner models.
• Import SAS/STAT and Base SAS models.
• Repository metadata summary report, such as number of models, number of scoring jobs.
• Model aging profiles.
• Frequency counts of how often each target and input variable has been used across the model portfolio.

Model repository query by attributes

• Type of algorithm.
• An input or target variable.
• Model creator.
• Model ID.
• Lifecycle approval user.
• Combination of query attributes.
• Ability to add user-defined query keys.

Secure model storage and access administration

• Backup and restore capabilities.
• Overwrite protection.
• Event logging.
• User authentication /access privilege administration.

Validation of the scoring logic before exporting models to production

• Define test and production score jobs.
• Export models to SAS Metadata Repository.
• Production scoring.
• Publish model updates to different scoring channels.

Model performance and comparison reports during test and production life cycles

• Model Performance reports:
• Programs for summarizing scored data.
• Variable distribution plots.
• Characteristic chart.
• Stability chart.
• Lift chart.
• Receiver Operating Curve and Gini charts.
• Kolmogorov-Smirnov chart.
• Model Comparison reports:
• Model profile report.
• Delta report.
• Dynamic lift.
• Model monitoring report.
• Ad hoc SAS code report editor.

Overall lifecycle management of analytical models

• Model lifecycle templates for collaborative project management.
• Task-oriented milestone completion and approval signoff.
• Define start and completion dates.
• Progress completion status reports.

Download the complete SAS Model Manager Fact Sheet.