Descriptive and predictive modeling produces insights that drive better decision making. Now you can streamline the data mining process to develop models quickly. Understand key relationships and find the patterns that matter most.
Build better models with the best tools.
An interactive self-documenting process flow diagram environment dramatically shortens model development time for your data miners and statisticians. It efficiently maps the entire data mining process to produce the best possible results. And, it has more predictive modeling techniques than any other commercial data mining package. Why not use the best?
Empower business users.
Business users and subject-matter experts with limited statistical skills can generate their own models using the SAS Rapid Predictive Modeler. An easy-to-use GUI steps them through a workflow of data mining tasks. Analytic results are displayed in easy-to-understand charts that provide the insights needed for better decision making.
Improve the accuracy of your predictions, and share reliable results.
Create better-performing models using innovative algorithms and industry-specific methods. Verify results with visual assessment and validation metrics. You can easily display predictions and assessment statistics from models built with different approaches side-by-side for easy comparison. The resulting diagrams also serve as self-documenting templates that your can update or apply to new problems without starting over.
Ease the model deployment and scoring process for faster results.
Scoring – the process of applying a model to new data – is often the end result of data mining endeavors. Many consider it tedious. SAS automates the scoring process and supplies complete scoring code for all stages of model development. You can deploy the scoring code in real-time or batch environments within SAS, on the web and directly into relational databases. And embed them within your business processes. This saves time and provides more accurate results.
Screenshots & Demos
- Easy-to-use GUI and batch processing
- Data preparation, summarization and exploration
- Predictive and descriptive modeling
- Open source integration with R
- High-performance capabilities
- Fast, easy and self-sufficient way for business users to generate models
- Model comparisons, reporting and management
- Automated scoring
- Scalable processing
By using insights provided by predictive models, we can empower our nurse case managers to make a difference in people's lives.