The Data Quality Process [Archive.org URL]

The only practical, effective method of rectifying data problems is through the use of next-generation data quality tools and processes, which can do more than correct data errors and render disconnected information meaningful. Such data quality tools can also keep information clean and consistent on an ongoing basis. For this, an organization should consider a data management solution that includes a tightly integrated data quality tool set and processes that provide cleansing, parsing, standardization, matching and linking, and householding.

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