Data quality can be thought of as the degree to which data reflects accurate, timely, valid, and consistent information in relation to the portrayal of the actual scenario. Put simply, does a customer named Robert Smith really live at 123 Main Street with telephone number 555-1212, bank account X, and preference Y? The extent to which data can be trusted has often set apart successful projects from failed ones.
Inaccurate data creates missed opportunities, customer satisfaction issues, and a host of other problems, ranging from the mundane to the problematic.

But never before have the stakes been so high for data quality as they will be in 2018, as the Global Data Protection Regulation (GDPR) comes into effect in Europe—and likely spills over into the US.To read this article in full, please click here

Leave a Reply