SAS® Enterprise Miner
What is SAS Enterprise Miner? SAS Enterprise Miner streamlines the entire data mining process to create highly accurate predictive and descriptive models based on analysis of vast amounts of data from across the enterprise.
Why is SAS Enterprise Miner important? It provides a powerful, complete data mining solution with unparalleled model development and deployment alternatives and extensive integration opportunities. Delivered as a distributed client-server system, it is especially well suited for data mining in large organizations.
For whom is SAS Enterprise Miner designed? SAS Enterprise Miner is designed for data miners, marketing analysts, database marketers, risk analysts, fraud investigators, engineers and scientists who need to play a major role in solving critical business or research issues.
Key benefits
- A broad set of tools supports the complete data mining process. Going from raw data to accurate, business-driven data mining models becomes a seamless and efficient process with SAS Enterprise Miner. The solution also provides an integrated, collaborative environment so the statistical modeling group, business managers and the IT department can work together more efficiently.
- An easy-to-use GUI helps both business analysts and statisticians build more models, faster. SAS Enterprise Miner's process flow diagram environment eliminates the need for manual coding and dramatically lessens the time to develop models, for both business analysts and statisticians.
- Enhance accuracy of predictions and easily surface reliable business information. Better performing models with innovative new algorithms enhance the stability and accuracy of predictions, which can be verified easily by visual model assessment and validation metrics.
Key Features
- Organized and logical GUI. With SAS Enterprise Miner, you get an easy-to-use process-flow diagram approach that eliminates the need for manual coding and streamlines model development. SAS' exclusive SEMMA data mining approach combines a structured process with the logical organization of the tools needed to support each of the five steps � sampling, exploration, modification, modeling and assessment.
- An unmatched suite of predictive and descriptive modeling techniques and methods. SAS Enterprise Miner provides superior analytical depth with decision trees, bagging and boosting, neural networks, memory-based reasoning, hierarchical clustering, linear and logistic regression, associations, sequence and Web path analysis, and more. The assortment includes state-of-the-art methods such as gradient boosting, partial least square regression and vector machine support.
- Sophisticated set of data preparation, summarization and exploration tools. Interactive data preparation wizards such as the interactive binning tool and the rules builder tool offer numerous data transformation options. Merging data files, addressing missing values, clustering, dropping variables and filtering for outliers can all be performed easily.
- Business-based model comparisons, reporting and management. SAS Enterprise Miner offers numerous features for comparing the results of different modeling techniques in business terms as well as through statistical diagnostics. This provides the unique ability to gauge model effectiveness in terms of overall profitability, enabling the quantitative analyst to easily share and discuss essential results with business users.
- An automated scoring process delivers faster results. SAS Enterprise Miner automatically generates score code in SAS, C, Java and PMML. The scoring code can be deployed in a variety of real-time or batch environments within SAS, on the Web or directly in relational databases.
- An open, extensible design. The customizable environment of SAS Enterprise Miner provides the ability to add tools and include personalized SAS code via the Extension node.
- High-performance grid-enabled workbench. SAS Enterprise Miner supports Windows servers and UNIX platforms, making it the software of choice for organizations with large-scale data mining projects.
For a complete list of key benefits and features, refer to the SAS Enterprise Miner fact sheet. 
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