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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.

 

Ready to learn more?

Call us at 01628 486 933 (UK) or request more information.

 

Questions?

 

White Paper

Best Practices for Managing Predictive Models in a Production Environment