Data mining with SAS® Enterprise MinerTM
Unearth valuable insight and gain profitable data mining results with less time and effort
SAS Enterprise Miner streamlines the data mining process to create highly accurate predictive and descriptive models based on analysis of vast amounts of data from across the enterprise. Forward-thinking organizations today are using SAS data mining software to detect fraud, anticipate resource demands, increase acquisitions and curb customer attrition.
Benefits
- Support the entire data mining process with a broad set of tools.
- Build more models faster with an easy-to-use GUI.
- Enhance accuracy of predictions and easily surface reliable business information.
- Ease the model deployment and scoring process.
Features
- Multiple interfaces
- Scalable processing
- Data preparation, summarization and exploration
- Advanced predictive and descriptive modeling
- Business-based model comparisons, reporting and management
- Automated scoring process
- Open, extensible design
“Our profitability around marketing interventions programs is much higher because of the precision of understanding that SAS provides.”
—David Norton
Senior Vice President of Relationship Marketing
Harrah's Entertainment
How SAS® is Different
- Data access, management and cleansing are seamlessly integrated, making it easier to prepare data for analysis.
- Robust variable selection and data modification tools improve the quality of your data, which leads to better modeling and more reliable results.
- With multithreaded algorithms and support for multiprocessing and grid computing, execution time is reduced and hardware resources are used more efficiently.
- Smart defaults allow business users to produce models quickly, while advanced statisticians can tweak details and embed their own algorithms into their model flows.
- The rich Java client interface enables fast, maintenance-free distribution throughout large organizations, and data mining projects can be shared among analysts across different units and regions.
- Our advanced analytic algorithms are organized under the core tasks that are performed in any successful data mining endeavor: Sampling, Exploration, Modification, Modeling and Assessment (SEMMA). You are guided through each step as the data mining project develops.
- Unlike other data mining solutions that limit you to a single algorithm, we provide multiple advanced predictive and descriptive modeling algorithms, including market basket analysis, decision trees, gradient boosting, neural networks, linear and logistic regression, and many more.
- Scoring code is delivered in SAS, C, Java and PMML for scoring in batch and real-time in both SAS and non-SAS environments.
Benefits
- Support the entire data mining process with a broad set of tools. Regardless of your data mining preference or skill level, SAS provides flexible software that addresses complex problems. Going from raw data to accurate, business-driven data mining models becomes a seamless process, enabling the statistical modeling group, business managers and the IT department to collaborate more efficiently.
- Build more models faster with an easy-to-use GUI. The process flow diagram environment of SAS Enterprise Miner dramatically shortens model development time for both business analysts and statisticians. SAS Enterprise Miner 5.3 includes an intuitive user interface that incorporates common design principles established for SAS software and additional navigation tools for moving easily around the workspace. The GUI can be tailored for all analysts' needs via flexible, interactive property sheets, code editors and display settings.
- Enhance accuracy of predictions and easily surface reliable business information. Better performing models with new innovative algorithms enhance the stability and accuracy of predictions, which can be verified easily by visual model assessment and validation metrics. Both analytical and business users enjoy a common, easy-to-interpret visual view of the data mining process. Predictive results and assessment statistics from models built with different approaches can be displayed side by side for easy comparison. The created diagrams serve as self-documenting templates that can be updated easily or applied to new problems without starting over from scratch.
- Ease the model deployment and scoring process. Scoring – the process of applying a model to new data – is the end result of many data mining endeavors. SAS Enterprise Miner automates the tedious scoring process and supplies complete scoring code for all stages of model development 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. The outcome is faster implementation of data mining results.
Features
- Multiple interfaces
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- Easy-to-use GUI for building process flow diagrams.
- Batch processing.
- Web-based model viewer.
- Scalable processing
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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.
Screenshots
Build more models faster with SAS Enterprise Miner software's easy-to-use GUI for data mining.
Segment your data using clustering or self-organizing maps. Visualizations are also provided to help determine which variables are important in distinguishing cluster membership as well as profile plots showing the distribution of the inputs and other factors in each cluster.
System Requirements
Client environment
- AIX; HP/UX-IPF; Solaris; Linux for x86 (x86 32-bit): Red Hat Linux 8.0, RHAS 2.1, RHEL 3.0 and 4.0, SuSESLES 8 and SLES 9; Windows (x86-32): Windows XP
Server environment
- AIX (64-bit), Release 5.1+
- HP-UX PA-RISC, Release 11i+
- UX IPF, Release 11i+
- Linux for Intel (x86-32): Red Hat Linux 8.0, RHAS 2.1, RHEL 3.0 and 4.0, SuSESLES 8 and 9
- Linux for Itanium (64-bit): Red RHEL 3.0
- Solaris (64-bit) 8, 9, 10 on SPARC
- Tru64 UNIX (64-bit), Version 5.1Aor 5.1B
- Windows (x86-32): Windows NT4 Server, Windows 2000 Server, Windows Server 2003
- Windows (64-bit on Itanium): Windows Server 2003
Enterprise Model Viewer (optional Web tier configuration)
- SAS Enterprise Miner includes a reference implementation of Apache Tomcat. Sites can optionally choose to license another Web server or WebDAV component directly from the vendor.
Required software
- Base SAS and SAS/STAT®
Please contact your SAS representative for additional details about technical requirements.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
