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Data quality assessment

Published:01 April 2002Publication History
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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.

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  1. Data quality assessment

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      cover image Communications of the ACM
      Communications of the ACM  Volume 45, Issue 4
      Supporting community and building social capital
      April 2002
      199 pages
      ISSN:0001-0782
      EISSN:1557-7317
      DOI:10.1145/505248
      Issue’s Table of Contents

      Copyright © 2002 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 April 2002

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