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The Three Key Phases for Data Migration - and Beyond

Originally published June 1, 2009

Companies who have already done major data migration or consolidation work often struggle with incompatible system designs and technologies, limited knowledge of what data exists, where it came from and a lack of standards on what constitutes “good” or “valuable” data. All of these issues have the same root cause: inconsistent, unreliable and inaccurate data in the source systems that is capable of polluting the new application. This white paper examines how data management technology can solve these issues through a three phase process of analyzing, improving and controlling data.

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