SAS® Enterprise Miner

Unearth valuable insight and gain profitable data mining results with less time and effort

Features

Multiple interfaces

• Easy to use GUI for building process flow diagrams.
• Batch processing.
• Web-based model viewer.

Scalable processing

• Java client/SAS server architecture scales from single-user to large enterprise solutions.
• Server-based processing and storage.
• Grid computing.
• Parallel processing.
• Multithreaded predictive algorithms.

Data preparation, summarization and exploration

• Access to more than 50 file structures.
• Outlier filtering.
• Data sampling.
• Data partitioning.
• Merge and append tools.
• Univariate statistics and plots.
• Bivariate statistics and plots.
• Batch and interactive plots
• Segment profile plots.
• Easy-to-use Graphics Explorer wizard and Graphics Explore node.
• Interactively linked plots and tables.
• Data transformations.
• Time series data preparation and analysis.
• Interactive variable binning.
• Rules Builder node for creating ad-hoc data driven rules and policies.
• Data replacement.

Advanced predictive and descriptive modeling

• Clustering and self-organizing maps.
• Market basket analysis.
• Sequence and Web path analysis.
• Variable clustering and selection.
• Linear and logistic regression.
• Decision trees.
• Gradient boosting.
• Neural networks.
• Partial least squares regression.
• Support vector machines (experimental).
• Two-stage modeling.
• Memory-based reasoning.
• Model ensembles, including bagging and boosting.

Business-based model comparisons, reporting and management

• Assessment features for comparing models (lift curves, statistical diagnostics and ROI metrics).
• Highly visual model comparision interface.
• Innovative Cutoff node examines posterior probability distributions.
• Report creation and distribution.
• Model result packages.
• Web-based model viewer.

Automated scoring process

• Interactive scoring.
• Automatically generates score code in SAS. C, Java and PMML.
• Deploy scoring code in real-time or batch environments.
• Model registration and viewing.
• Deploy models in multiple environments.
• Integrate SAS Enterprise Miner training and scoring processed directly into other SAS solutions.

Open, extensible design

• Extension node for easily adding tools and personalized SAS code.
• Interactive editor features for training and score code.
• Integrate text mining for analysis of both structured and unstructured data.
• Incorporate times series, Web paths and associations rules as additional input variables into the model development process.

Download the complete SAS Enterprise Miner Fact Sheet.