Imagine you answer a sales call and the salesperson calls you by the wrong name. Would that sour your view of the company? Would that make you less likely to buy?
While this interaction may seem insignificant, data mistakes like this can snowball into a momentous problem for sales and marketing departments—a problem that costs businesses $13 million per year.
Knowing how to measure data quality is crucial for an organization to ensure its prospect data and other analytics are up-to-date and