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redundant
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data migrations generally result from the introduction of a new system. this may involve an application migration or consolidation in which one or more legacy systems are replaced or the deployment of an additional system that will sit alongside the existing applications. whatever the specific nature of any data migration, the ultimate aim is to improve corporate performance and deliver competitive advantage. accurate data is the raw material that maximizes the value of enterprise applications. however, when existing data is migrated to a new target application, it can become apparent that it contains inaccuracies, unknowns, and redundant and duplicate material. and although the data in the source system may be perfectly adequate for its current use, it may be wholly inadequate, in terms of content and structure, for the objectives of the target system. without a sufficient understanding of both source and target, transferring data into a more sophisticated application will amplify the negative impact of any incorrect or irrelevant data, perpetuate any hidden legacy problems, and increase exposure to risk.
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