Data quality tools help organizations find and fix issues that can affect the accuracy and reliability of business data. Features such as data profiling, validation, cleansing, monitoring, duplicate detection, and quality reporting can improve data consistency. Choosing the right tool also depends on data sources, integration needs, automation, scalability, and the type of quality problems an organization needs to manage.