IBM is introducing a new social media monitoring tool, which will measure consumer sentiment from data gathered on Twitter, blogs and other web services and networks.
Date:
New IBM Predictive Analytics Software Personalizes Customer Relationship Strategies
Navy Federal Credit Union, Rosetta Stone and Money Mailer Uncover Customer Insight to Drive Growth
 CHICAGO, 05/11/10 IBM (NYSE: IBM) today announced new software that enables users to uncover and analyze information from social media sources, such as social networks and blogs, and then merge that with vast internal data for faster, more accurate insight and predictive intelligence.
The new
data mining and text analytics software
allows users to monitor changes in consumer, constituent and employee attitudes, uncover deeper insights, and then predict key factors that will drive future customer acquisition and retention campaigns. For example, companies can now extract sentiment from the use of emoticons and slang terminology that people often use in describing their view toward a product or service.
As part of today's news, IBM is also announcing customers such as Navy Federal Credit Union, Rosetta Stone and Money Mailer that are making faster and more personalized decisions with predictive analytics software through insight gained by extracting information about client sentiment from a variety of data sources.
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