Text Analytics in the Contextual Enterprise
Report Format: MP3
The customer may always be right, but discerning just how “right” sounds can be a real challenge sometimes, especially when dealing with mountains of unstructured data. Solving that riddle often requires the magic of text analytics, a discipline used to glean salient bits of meaning from large amounts of otherwise unwieldy text. There are many use cases for text analytics: combining insights with traditional BI reports to add more context; determining the mood of a community or social network; finding the trajectory of opinion on a subject area; compiling a critical mass of insights about a concept or product. However, gaining value from text analytics requires a decidedly thoughtful approach, combined with human involvement and old-fashioned common sense. Tune into this episode of DM Radio to learn from the experts about how text analytics can be used in your organization. We'll talk to data mining visionary Usama Fayyad of Open Insights, plus Eric Martin of SPSS and Dean Abbott of The Modeling Agency. Attendees will learn: Which use cases make sense for which organizations; What to look for in a text analytics tool; How to structure a program that meets expectations; Who in your organization should be involved; When to pull the plug on an ineffective program.
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