Businesses have failed, and will continue to do so, because they fail to make the management and control of data quality and integrity issues a top priority. Whilst outright business failure may seem extreme, the billions of Euros squandered by large organisations on resolving problems that can be blamed on the quality (or lack thereof) of their data is an undisputable fact. Associated costs present themselves in many ways, such as lost revenue stemming from customer discontent and a failure to recognise new opportunities, wasted resources including poor stock control, inventory management, shipping wrong goods, and the knock-on costs associated with having to correct such mistakes. This is not to mention the costs of data quality on decision-making, planning, and strategy formulation, which although difficult to measure, could clearly dwarf the operational impact. .