Businesses depend on customer data to make important decisions about strategy, customer experience and product offerings. According to a survey by Gartner, organizations believe poor data quality to be responsible for an average of $15 million per year in losses. Nearly 60% of those surveyed didn’t know how much bad data costs their businesses — or how to fix it.
Excerpt from the main article:
Imagine leaving for a road trip with a print map from 1985. You might get to your destination eventually, but not without a lot of wrong turns, wasted time and unnecessary stress. Bad data has a similar impact on businesses. They depend on customer data to make important decisions about their strategy, customer experience and product offerings. So if it’s outdated, inaccurate or spread across multiple platforms, they can’t provide the right offers to their customers — and miss out on important sales and revenue.