Getting Data Quality Projects Started - Part 1
The causes and symptoms of poor data quality are well known. This paper documents many of the most common at a high level.
Data quality, customer data integration, data governance, and master data management are all well-defined and discussed in IT circles (and increasingly, in boardrooms and executive offices as well). Yet still, American corporations waste an estimated 40% of their IT spending on labor, work-arounds, duplicate efforts, and re-work caused by poor data quality.