SAS Model Manager
Operationalize Your Analytics with SAS Model Manager
Last updated Aug 8, 2024
What is SAS Model Manager?
SAS Model Manager's Top Features
Key capabilities that make SAS Model Manager stand out.
Model scoring
Monitoring and retraining
Seamless integration with SAS Viya
Support for AI and machine learning models
Compliance and governance
Flexible deployment options
Robust analytics workflow management
Industry-specific analytics support
Real-time model performance tracking
Comprehensive user resources
Use Cases
Who benefits most from this tool.
Data Scientists
Operationalize and streamline the lifecycle of machine learning models from creation to deployment.
Risk Analysts
Manage and monitor risk assessment models to ensure accuracy and compliance.
Marketing Teams
Optimize customer experience by deploying and managing predictive models effectively.
Fraud Detection Specialists
Deploy and monitor fraud detection models in real-time to mitigate risks.
IT Professionals
Ensure seamless integration and deployment of analytics models across different environments.
Compliance Officers
Leverage model management tools to maintain compliance and governance.
Retail Analysts
Analyze consumer behavior and optimize inventory through predictive modeling.
Healthcare Analysts
Drive healthcare improvements by managing models aimed at predicting patient outcomes.
Insurance Analysts
Enhance risk management efforts by deploying accurate and compliant models.
Public Sector Analysts
Utilize model management for public sector applications such as resource allocation and policy evaluation.
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