Extracting Value from Unstructured Data

Even the most customer-centric businesses today are making decisions about their customers based on roughly 20% of available data. Much of the untapped 80%?data that is unstructured?could be yielding not only more insights, but different and complementary insights.

Text analytics helps deliver this fresh insight by mining a major category of unstructured data that many organizations have on hand. But while customer-related text may be abundant and available, most organizations don't know how to efficiently extract predictive elements from it.

This white paper covers:

• Understanding text analytics and how it can help you
• Boosting the performance of existing models with text-derived insights
• Using such insights to improve segmentation, decisions strategies and customer interactions
• Exploring how text analytics can provide clues to customer needs and motivations
• Choosing the right text analytic techniques for your objectives