Published

Text analytics in CX

text analytics

Text analytics in CX

text analytics

Today’s successful companies have already implemented a customer experience program in one form or another. For customer experience professionals, the next challenge is to evolve their program in both depth and breadth, towards true brand-experience differentiation.

In order to achieve this, there is one area that they need to resolve efficiently and systematically: how to deal with free-form, unstructured data and analyze text from various sources in a meaningful and measurable way.
 
This white paper is intended to provide guidance about the key elements of such programs, and focuses on four key components:

  1.  Listen to the Voice of the Customer
  2.  Interpret customer data to extract meaningful information and find hidden truths
  3.  Deliver actionable insights and personalized reporting
  4.  Measure and track metrics and trends over time, to continuously improve the program and drive the customer experience.

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