“Proactive data quality” as a concept is increasingly gaining attention, but the qualities that cause data quality to be proactive are often not well-defined. Once an organization has been convinced of proactive data quality’s potential, this lack of definition creates a significant barrier to their ability to realize its benefits.

To help companies begin to execute proactive data quality, this paper describes MIOsoft’s definition of proactive data quality and the main points in the data lifecycle at which proactive data quality can be applied...

DOWNLOAD NOW