Take advantage of the vast amounts of readily available text that can significantly improve data mining results.

Our solution combines text extraction and analytics to:

• Analyze text sources like call center notes, claims, email, surveys, news articles, press releases, blogs or any database text field.
• Extract and structure concepts like products, technologies, companies and people, as well as relationships like complaints, compliments, M&A activity, management changes and hundreds more.
• Feed into a data mining workbench and unify with existing structured data to improve model results.
• Enable early warning for quality issues, increase visibility of customer loyalty and satisfaction problems, and fuel product innovation.

Solution Features:

Semantic extraction that applies natural language processing to understand meaning, context and relationships of words from sentences, paragraphs and documents Out-of-box solutions for manufacturing, banking, insurance, life sciences, hospitality to enable quick time-to-value Highest levels of accuracy, resulting in fewer missed terms & false positives; no sifting through noisy results or missing key insights A point-and-click interface for business users to model new concepts or a full IDE for technical users Analytics specifically designed for text resulting in quick time to insight as well as deeper more meaningful insight