Without even realizing it, everyone is affected by poor data quality. Some are affected directly in annoying ways, such as receiving two or three identical mailings from the same sales organization in the same week. Some are affected in less direct ways, such as the 20-minute wait on hold for a customer service department. Some are affected more malevolently through deliberate fraud, such as identity theft. But whenever poor data quality, inconsistencies, and errors bloat both companies and government agencies and hamper their ability to provide the best possible service, everyone suffers.

Data quality seems to be a hazy concept, but the lack of data quality severely hampers the ability of organizations to effectively accumulate ...

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