USES OF UNSTRUCTURED DATA ANALYTICS

Whether it is for companies, research groups, public service, or government organizations, unstructured data analytics provides tangible benefits through an infinite variety of uses. Examples of the uses of unstructured data analytics include

  • Increased competitive intelligence from analyzing documents, blogs, and reports from the competition.
  • Voice of customer analysis from open-ended survey questions, call center logs, e-mails, blogs, or opinion sites. This can also be used to increase customer satisfaction, customer retention, and customer loyalty by reaching out to customers proactively.
  • Help in maximizing a company’s CRM (customer relationship management) efforts by leveraging customers’ feedback analysis and taking into account customer needs and preferences.
  • Increased effectiveness of customer retention efforts by providing enhanced insights from unstructured data to enrich traditional predictive retention models.
  • Driving product development and adoption by analyzing early customer feedback on a product and/or analyzing warranty claims.
  • Enhancing government investigation procedures, uncovering security threats and criminal actions, and detecting terrorist activities.
  • Detecting patterns of fraudulent behavior. For example, Monster Worldwide uses unstructured data analysis to detect fraudulent actions and activities on its sites.
  • Informing financial investment strategies.
  • Enhanced drug discovery processes for pharmaceutical research companies ...

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