In this white paper, Ralph proposes a comprehensive architecture for capturing data quality events, as well as measuring and ultimately controlling data quality in the data warehouse. This scalable architecture can be added to existing data warehouse and data integration environments with minimal impact and relatively little upfront investment. Using this architecture, it is even possible to progress systematically toward a Six Sigma level of quality management. This design is in response to the current lack of a published, coherent architecture for addressing data quality issues.
Download Ralph’s white paper in .pdf format.