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IT Management Slideshow:
Mining Social Media for Customer Trends

By Dennis McCafferty on 2010-05-20


With its SPSS Modeler software, IBM aims to help enterprises make better customer decisions based upon what's being posted on social-media sites.

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80% of information generated daily is unstructured, a figure boosted by the popularity of social media.

Customer sentiment expressed on Twitter, Facebook, wikis, RSS feeds, blogs, et al represents a potential gold mine for companies.

IBM SPSS Modeler is a predictive analytics software tool that measures trends in consumer views of products and services.

Modeler also analyzes emoticons and common texting slang terms.

The full view of customers is meant to help create personalized customer experience, improve customer relations.

More payoffs: Better marketing campaigns, product design, service offerings.

180 verticals are covered by the software - including life sciences, banking/insurance, and electronics.

400,000 industry-specific terms can be analyzed, e.g., "floating rate" is understood as relevant to "mortgage loan."

Customers include: Navy Federal Credit Union, Rosetta Stone, Money Mailer.

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