Data quality assessment

Authors:
Leo L. Pipino;Yang W. Lee;Richard Y. Wang
Affiliations:
University of Massachusetts Lowell;Northeastern University, Boston, MA;Boston University and MIT Sloan School of Management, Cambridge, MA
Venue:
Communications of the ACM - Supporting community and building social capital
Year:
2002

Citing 9
Cited 112

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Abstract

How good is a company's data quality? Answering this question requires usable data quality metrics. Currently, most data quality measures are developed on an ad hoc basis to solve specific problems [6, 8], and fundamental principles necessary for developing usable metrics in practice are lacking. In this article, we describe principles that can help organizations develop usable data quality metrics.