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If data is not fit for purpose, it has no value. This area focuses on defining data quality dimensions (accuracy, completeness, consistency, etc.) and implementing processes to improve and sustain data quality. dama-dmbok 2 pdf
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: The specific steps required to deploy and maintain it. Deliverables : The tangible outputs produced.
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