SAS® Unified Insights MM Features
Market-leading data mining & machine learning
- Provides GUI-based data mining and machine learning via a single, collaborative and highly scalable environment.
- Provides open source integration with R, Python, Java and Lua models.
- Lets you use model competition to identify and deploy the most effective model.
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Streamlined model deployment
- Streamlines the process of creating, managing, administering, deploying and monitoring your analytical models.
- Provides a framework for model registration, validation, monitoring and retraining.
- Enables you to assess candidate models to identify and publish the champion model.
- Ensures complete auditability and regulatory compliance.
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Self-service data preparation
- Provides an interactive, self-service environment for data access, blending, shaping and cleansing to prepare data for analytics and reporting.
- Fully integrates with your analytics pipeline.
- Includes data lineage and automation.
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Visual data exploration & insights development
- Provides bi-modal support for both governed and self-service exploration and visualization.
- Enables self-service discovery, reporting and analysis.
- Provides access to easy-to-use predictive analytics with “smart algorithms.”
- Enables report sharing via email, web browser, MS Office or mobile devices.
- Provides centralized, web-based administration, monitoring and governance of platform.
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Descriptive & predictive modeling
- Explore and evaluate segments for further analysis using k-means clustering, scatter plots and detailed summary statistics.
- Use machine learning techniques to build predictive models from a visual or programming interface.
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