The document discusses how maintaining accurate and complete data is important for business growth. It notes that poor data quality costs companies an average of $8.2 million annually and that only 12% of companies use customer intelligence to drive key business functions. Regular data cleansing and maintenance is needed to maximize revenue from existing customers, uncover new prospects, and strengthen customer relationships. Committing to continuous data quality improvement requires executive sponsorship and cross-departmental collaboration.