SAS Enterprise Miner
Streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most.
Key features
Descriptive and predictive modeling provide insights that drive better decision making.
Easy-to-use GUI & batch processing
Build more – and better – models faster.
Sophisticated data preparation, summarization & exploration
Address missing values, filter outliers, develop segmentation rules, etc., with powerful, interactive data preparation tools.
Advanced predictive & descriptive modeling
Gain superior analytical depth with a suite of statistical, data mining and machine-learning algorithms.
Open source integration with R
Perform data transformation and exploration, and train and score supervised and unsupervised models in R.
High-performance capabilities
Boost performance with the included high-performance data mining nodes.
Fast, easy, self-sufficient way for business users to generate models
SAS Rapid Predictive Modeler automatically steps nontechnical users through a workflow of data mining tasks.
Model comparisons, reporting & management
Quickly identify which models produce the best lift and overall ROI with easy-to-use assessment features.
Automated scoring
Automatically generate score code in SAS, C, Java and PMML, then deploy the scoring code in a variety of real-time or batch environments – in SAS, on the web, or directly in relational databases or Hadoop.
Ability to call SAS Viya actions within a process flow
Use the SAS Viya code node to submit and execute SAS Viya code directly in a SAS Enterprise Miner process flow.
Scalable processing
Scale from a single-user system to very large enterprise solutions with the Java client and SAS server architecture.
Cloud deployment option
Reap the benefits of our most advanced software and scalable architecture, managed and supported by SAS experts in a secure, cloud-based environment.