So we know defective data can delay new system implementations, but within existing systems
poor quality data also leads to process failure. This means that costly materials have to be
scrapped or work has to be redone. It impacts on the performance of your staff—many executives
mistrust the information in their information systems to the extent that they are reluctant to use
them. These applications were built at great cost and all too often don’t deliver enough value to
the business because of low quality data.