Data quality assessment
Leo L. Pipino, Yang W. Lee, Richard Y. Wang
Abstract
Leo L. Pipino, Yang W. Lee, Richard Y. Wang
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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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.
Key concepts: USable, Computer science, Quality (philosophy), Data quality, Data science, Data mining, World Wide Web, Engineering