When it comes to building an information framework, taking stock of the content and prioritizing it within an overall information strategy is a fundamental exercise. However, most enterprises are not aware of the content they own, what business processes that content belongs to, or even where the content can be found.
Typically, it boils down to not knowing where content exists in an enterprise and who has access to it. This intensifies the struggle with findability within the content even if knowledge of where and how to access it is available. These issues are often a result of poor governance or governance entropy, which happens over time. This is where enterprises can leverage the capabilities offered by text analytics.
Text analytics can reveal what is in the previously unknown content; it can also act as a content gap analysis, showing what type of content, whether useful or not, exists in an enterprise. Similarly, marketers can mine the voice of customers by leveraging text analytics to analyze incoming content, extract concepts, cluster recurring themes, and feed the results into actionable information applications. For sentiment analysis, a combination of text analysis and human review and categorization can quickly generate enough sentiment indicators to prompt an action that might otherwise take months or even years to expose and address.
Click here to read how to use text analysis with search and other information systems to create powerful information applications.
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