The document discusses establishing a data quality loop using data quality indicators in reports to initiate conversations between end users and IT. The indicators would point out suspect data values in reports, allowing users to drill down to the source system and start a conversation to cleanse the data at its origin rather than in a data warehouse. The proposed approach has IT implement the indicators while business acts as a watchdog to keep conversations and cleansing ongoing, improving data quality at the source system over time.