This article discusses the importance of data quality assurance for IT professionals. It notes that as data is increasingly shared between systems, data quality problems have become more common. The article recommends conducting a data quality assessment on a pilot project to demonstrate existing data quality issues to management and gain their support in addressing these issues. It states that data cleansing, which involves defining error types, finding errors, and correcting them, is a key part of ensuring data quality. Selecting a pilot project that interfaces with many other systems can emphasize the widespread effects of data quality problems. Maintaining high data quality will become even more crucial as companies transition between legacy and new systems.