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Common Barriers to Using Customer Intelligence Data

Companies today are challenged with having an overabundance of information about their customers. Here are four common barriers to overcome when handling “Big Data”:

  1. There is no “Easy” button: insights don’t magically appear from more data but rather they are discovered when there is a clear business objective. Without this, there is often misinterpretation and perplexing frustrations. And no action.
  2. Data is on Lock-down: access to all relevant data is critical to create insights. You want and need other key information beyond the customer survey like financial and operational data but most companies really struggle to make it easily accessible or easy to understand
  3. A web of knots: different data sources often mean differing formats and naming conventions that must be untangled. 
  4. Immobility: there must be a commitment to act upon the insights (before you actually discover them) in order for the insights to have any chance of being valuable.

About the Author

Walker Weekly

Walker is a consulting firm specializing in customer experience. Helping businesses for more than 75 years, Walker’s diverse team of consultants provides tailored, comprehensive solutions to help companies achieve their business objectives and grow shareholder value. Walker specializes in customer retention and growth, using predictive analytics and other innovative approaches. Walker works with some of the world’s most influential businesses as well as emerging organizations of all sizes. For more information, please visit

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