Products & Solutions / SAS Data Mining for Midsize Business

SAS® Data Mining for Midsize Business

Spot trends and identify business opportunities from your desktop

SAS Data Mining for Midsize Business is a complete data mining workbench that gives small and midsize businesses the ability to explore organisational data right from their desktop. In one affordable and easy-to-use, easy-to-deploy package, the solution delivers data-driven insights to organisations of all sizes and skill levels.

Benefits

  • Make reliable, evidence-based decisions.
  • Build better models, faster.
  • Reuse models to boost efficiency.
  • Invest in a solution that grows with you.

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Features

  • Analytic data preparation
  • Data visualisation and exploration
  • Integrated suite of sophisticated modeling techniques
  • Model development, assessment and deployment with unprecedented ease
  • Model management and monitoring

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Desktop Data Mining 1


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How SAS® Is Different

  • SAS is unmatched in the number of data sources supported and the ease provided for accessing and assembling data in one environment.
  • SAS data manipulation and management capabilities provide extreme flexibility and allow transformations and queries, including visual subsetting of data.
  • SAS supports an extensive breadth and depth of analytics and numerous ways to develop models and approaches.

Benefits

  • Make reliable, evidence-based decisions.
    • With SAS, you can harness all your organisational data to uncover patterns and hidden relationships that help identify future trends, flag emerging issues and determine potential opportunities. Using powerful data mining capabilities combined with data preparation, exploration and enrichment, you can explore large amounts of relevant, quality data in a multidimensional manner to discover what's most significant for decision making.
  • Build better models, faster.
    • Rich, interactive visualisation capabilities combined with an easy-to-use interface and SAS’ exclusive SEMMA approach to data mining help both experienced and less seasoned business analysts develop better models dramatically faster. Users can also choose from basic, intermediate or advanced prebuilt models to address common business problems quickly.  Since no manual coding is required, the chance for error is reduced. Results can be presented in both statistical and business terms to give better insight to decision makers.
  • Reuse models to boost efficiency.
    • To streamline efforts and to overcome limitations of analytic talent availability, users can save completed model diagrams for updates, later use by other people or to use in other projects.
  • Invest in a solution that grows with you.
    • This affordable, install-it-yourself solution is based on the same user interface and features as SAS® Enterprise Miner™, so there's a direct upgrade path as your needs grow.

Features

Analytic data preparation
  • Pull data from many sources, ensure high quality and deliver it in a clear, concise format.
  • Use advanced visualization capabilities to examine large amounts of data in dynamically linked, multidimensional plots.
  • Manage critical preprocessing tasks using built-in data transformation capabilities, such as:
    • Merge files.
    • Choose methods for handling incomplete entries and missing values.
    • Group, cluster and drop variables.
    • Filter for outliers.
Data visualisation and exploration
  • View data from multiple angles to spot trends and discover hidden relationships.
Integrated suite of sophisticated modeling techniques
  • Benefit from a broad set of predictive and descriptive modeling algorithms.
  • Use state-of-the-art methods, such as:
    • Gradient boosting.
    • Hierarchical market baskets.
    • Least angle regression.
Model development, assessment and deployment with unprecedented ease
  • Reduce model development time dramatically by using prebuilt models and by conducting all phases of data mining with SAS' exclusive SEMMA approach.
  • Drag and drop analysis or modeling algorithms directly into process flows to avoid manual coding.
  • Reuse self-documenting templates for future updates or new problems.
  • Compare results from different modeling techniques with numerous assessment tools.
  • Click a button to automatically deploy validated score codes into daily business operations.
  • Save models as XML files for later modification and reuse.
Model management and monitoring
  • Shorten model development time with an interactive, easy-to-use, drag-and-drop process flow diagram approach.
  • Map the entire data mining process with a self-documenting process flow diagram.

Screenshots

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Desktop Data Mining 1

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Desktop Data Mining 2

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System Requirements

Client environment
  • Microsoft Windows (x86-32): Windows XP Professional, Windows Server 2003, Windows Server 2008, Windows Vista*, Windows 7**
  • Microsoft Windows on x64 (EM64T/AMD64): Windows XP Professional for x64, Windows Server 2003 for x64, Windows Server 2008 for x64, Windows Server 2008 R2 for x64, Windows Vista* for x64, Windows 7** for x64

* NOTE: Windows Vista Editions that are supported include Enterprise, Business and Ultimate.

** NOTE: Windows 7 Editions that are supported include Professional, Enterprise and Ultimate.

Required software
  • BASE SAS®
  • SAS/STAT®
  • SAS Rapid Predictive Modeler requires SAS® Enterprise Miner to generate predictive models. The SAS Rapid Predictive Modeler task is available from either SAS® Enterprise Guide or SAS Add-in for Microsoft Office (Microsoft Excel only).

Ready to learn more?

Call us at 01628 486 933 (UK) or request more information.