Software
Subject: SPSS Launches Enhanced Predictive Analytics Platform
May 14, 2007. Integrates Updated Versions of Data Mining, Text Mining and Survey Applications
CHICAGO--(BUSINESS WIRE)--Giving businesses more power to understand
and predict individual customer behavior and optimize business process
outcomes, SPSS Inc. (Nasdaq: SPSS - News) today unveiled new versions
of its data mining, text mining, survey research and Predictive
Enterprise Services(TM) 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. Among the benefits companies will derive are
enhanced productivity across the enterprise, more accurate and
consistent results and more confidence in decision making.
SPSS predictive analytics applications and solutions are used
worldwide to improve critical business decisions focused on increasing
customer acquisition, cross-selling, up-selling and detecting and
preventing fraud and risk in industries such as finance, retail,
telecommunications and the public sector.
...
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. For more information, please visit:
http://www.spss.com/predictive_enterprise_services/new.htm.
- Upgraded Data Mining Workbench-Clementine� 11.1: builds on the
recent release of Clementine 11.0, which provided automatic
evaluation of simultaneous models and significant performance
increases with more parallel processing. 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. For more information, please see:
http://www.spss.com/clementine/whats_new.htm.
- Expanded Survey Research Platform--DimensionsTM 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. For more information, please visit:
http://www.spss.com/Dimensions/whats_new.htm.
- Advanced Text Mining Product-Text Mining for Clementine� 5.0: faster
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 more
information, please see:
http://www.spss.com/text_mining_for_clementine/whats_new.
For additional information, please visit www.spss.com.
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