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SPSS Launches Enhanced Predictive Analytics Platform

SPSS Inc. unveiled new versions of its data mining, text mining, survey research and Predictive Enterprise Services products at its European Directions User Conference in Prague, Czech Republic.

The platform provides next-generation predictive analytics with improved integration, automation and data management - enabling organizations to easily collect and use all available customer data, build predictive models and deliver customer behavior predictions across multiple channels.

Key product enhancements strengthening the predictive enterprise platform include:

  • Enhanced Predictive Enterprise Services 3.0. Overall benefits to this release include new automation options for refreshing and evaluating models for better model accuracy; integrated reporting to help measure and monitor results; more automation options for manual, labor-intensive processes; enhanced asset management with more flexibility to customize metadata; and improved notification services for keeping business end users up-to-date on latest analytic results.
  • Upgraded Data Mining Workbench-Clementine 11.1. Enhancements in this release include the addition of self-learning response models to increase model building speed and productivity; anonymization of data to help protect privacy of individual data records; and better integration with a broader enterprise platform to ease the deployment of production models.
  • Expanded Survey Research Platform - Dimensions 4.5. Simplified survey design and enhanced data integration in combining feedback data with other customer relationship management (CRM) sources, increasing the scope and speed with which feedback can be collected and acted upon.
  • Advanced Text Mining Product - Text Mining for Clementine 5.0. Modeling of unstructured data, including new sources such as RSS feeds (blogs and news feeds) and new graphics for instant, on-the-fly data analysis. Text Mining for Clementine 5.0 now also supports native multilingual text in seven languages: English, French, Spanish, German, Dutch, Italian and Portuguese.

For additional information, please visit www.spss.com.


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