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IAIDQ Publications

Classifications of Data Quality Costs and Benefits
April 2010
Carlo Batini and Monica Scannapieco

Cost-benefit analysis is an arduous task in many cost domains, and it is even more arduous in the area of Data quality (DQ) due to the less consolidated nature of the discipline. This article discusses how to quantify: (a) the costs of current poor data quality, (b) the costs of initiatives to improve data quality, and (c) the benefits that are gained from such initiatives.

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