KXEN, a global provider of automated data mining technology, has launched version 4.0 of its Analytic Framework product.
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This specific type of data can be used to improve the accuracy and reliability of predictive models for decreasing customer attrition, improving cross-sell rates, or acquiring more customers. KXEN's text categorisation automatically identifies and works with multiple languages and business domains.
"This data can be of immense value to an organisation but it normally lies buried in otherwise unusable text fields," said KXEN's founder and CEO Roger Haddad. "With version 4.0, companies can take advantage of this information to increase the effectiveness of their marketing initiatives."
Text-based modelling could well be the next step forward in data mining automation. Having software to exploit it may open up, for vendors and companies alike, new seams of customer intelligence.