Products & Solutions / MODEL MANAGEMENT & DEPLOYMENT

SAS® Model Manager

Create, manage and deploy lifecycle analytics

SAS Model Manager streamlines the tedious and often error-prone steps of creating, managing and deploying analytical models, and continually verifies their accuracy and usefulness. Because analytics play an important role in business processes, it is critical that organizations reduce the likelihood of erroneous model output or incorrect interpretation of model results.

Benefits

  • Manage and deploy models into production more quickly.
  • Track and monitor model performance from an integrated environment.
  • Comply with regulatory requirements such as Sarbanes-Oxley and Basel II.

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Features

  • Central, secure repository for organizing models
  • Pre-built templates for registering standard data mining models
  • Model repository query by attributes
  • Secure model storage and access administration
  • Validation of the scoring logic before exporting models to production
  • Model performance and comparison reports during test and production life cycles
  • Overall lifecycle management of analytical models

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Screenshots

SAS Model Manager's easy-to-use GUI.

Screenshot: SAS Model Manager's easy-to-use GUI.
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How SAS® is Different

  • SAS Model Manager enables organizations to effectively create, manage and deploy statistical, predictive, classification and analytical scoring models in an enterprise computing environment.
  • It provides a patented, secure, centralized repository for storing and organizing models backed by extensive documentation templates for each model.
  • Accountability metrics and validation of analytical steps, from the time of creation through deployment into real-time or batch scoring systems, continues until the time a model must be retired.

Benefits

  • Manage and deploy models into production more quickly. SAS Model Manager provides an easy-to-use graphical user interface that guides users through a repeatable process for registering, testing and validating models. Models can be monitored from their creation to deployment into real-time or batch scoring systems until they are retired.
  • Track and monitor model performance from an integrated environment. An iterative framework for organizing and tracking ensures analytical models are functionally performing as intended throughout the model life cycle. As models are tested and compared, performance benchmarking reports are generated. As they are deployed, performance metrics are pushed across reporting channels.
  • Comply with regulatory requirements such as Sarbanes-Oxley and Basel II. SAS Model Manager provides flexible and unique compliance and validation reporting. Best practices can be captured via the patented centralized data repository, lifecycle templates and metadata management system. Users are guided through the difficult steps of deploying analytics from creation into the production operational environment.

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.

Screenshots

SAS Model Manager's easy-to-use GUI.

Build more models faster with SAS Model Manager’s easy-to-use GUI.

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System Requirements

Client environment
  • Windows (x86-32): Windows XP Professional, Windows 2000 Professional
Server environment
  • AIX Release 5.1, 5.2, 5.3 on POWER
  • Solaris on SPARC: Version 8, 9 and 10
  • Windows (x86-32): Windows 2000 Server, Windows Server 2003
Required/not included software
  • SAS Enterprise Model Management 2.1 is an inclusive sales bundle containing Base SAS, SAS/STAT® and SAS Enterprise MinerTM software.
  • SAS Model Manager 2.1 requires Base SAS and SAS/STAT software.
Mid-tier component
  • Both bundles include the SAS Analytics Platform and Xythos WebFile Server with PostgreSQL
Other client components
  • SAS Management Console (included with Base SAS) on the client:
    • AIX Release 5.1, 5.2, 5.3 on POWER
    • HP-UX PA-RISC: Release 11i+ Version 1, 2 and 3
    • HP-UX Itanium: Release 11i+ Version 1, 2 and 3
    • Linux for x86 (x86-32): Red Hat Linux 8.0, RHAS 2.1, RHEL 3.0 and 4.0, SuSE SLES 8 and 9
    • Linux for Itanium (64-bit): Red Hat RHEL 3.0
    • Solaris on SPARC: Version 8, 9 and 10
    • Windows (x86-32): Windows 2000 Server, Windows Server 2003
    • Windows (64-bit on Itanium): Windows Server 2003

Ready to learn more?

Call us at 1-800-727-0025 (US and Canada) or request more information.