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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.


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