Main Purpose
The main purpose of SAS Model Manager is to provide a web-based application for registering, modifying, tracking, scoring, publishing, and reporting on analytical models.
Key Features
- Model Storage and Organization: Store models within folders or projects for easy access and management.
- Model Development and Validation: Develop and validate candidate models to ensure accuracy and reliability.
- Champion Model Selection: Assess candidate models to select the best-performing champion model.
- Model Publishing and Monitoring: Publish champion models and monitor their performance over time.
- Model Scoring: Score new data using the deployed models to make predictions or generate insights.
- Reporting and Visualization: Generate reports and visualizations to communicate model performance and results.
Use Case
- Data-driven organizations that need to manage and deploy analytical models at scale.
- Data scientists and analysts who develop and validate models for various applications.
- Business users who need to access and utilize predictive models for decision-making.
- Organizations that require a centralized platform for model storage, tracking, and reporting.
