Customer analytics have the potential to promote business profitability by surfacing insights which enable correct business decisions to be made, increasing customer revenue or reducing inefficiencies in the marketing, sales and customer service teams. Meaningful and accurate customer insights must be based on trustworthy, reliable customer data, yet most companies today are dealing with data that is incomplete, inconsistent, inaccurate, inaccessible or fragmented, resulting in business and marketing decisions being made that fail to yield the desired results.
In the best case scenario, a data science team or specific business users will spend precious time cleaning up the mess. In the worst case scenario, time is not spent cleaning the data and faulty data becomes the foundation for poor decisions. It’s not a pleasant choice!