Busting 7 Myths about Data Quality Management
sponsored by Information Builders
While data quality improvement has made a number of positive changes in recent years, many myths and misconceptions still exist today. Oftentimes, it can be difficult to know what's true and false, and without that knowledge you may find it challenging to make changes and improvements.
View this white paper to learn more about the best practices for data quality improvement. It outlines common statements to help you distinguish between the myths and the realities. You can also begin the process to data quality improvement by consulting this resource now.
(THIS RESOURCE IS NO LONGER AVAILABLE.)