Metrics for measuring data quality - Foundations for an economic data quality management

被引：0
作者：
Heinrich, Bernd [1 ]
Kaiser, Marcus [1 ]
Klier, Mathias [1 ]
机构：
[1] Univ Augsburg, Dept Informat Syst & Financial Engn, Augsburg, Germany
来源：
ICSOFT 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SOFTWARE AND DATA TECHNOLOGIES, VOL ISDM/WSEHST/DC | 2007年
关键词：
data quality; data quality management; data quality metrics;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The article develops metrics for an economic oriented management of data quality. Two data quality dimensions are focussed: consistency and timeliness. For deriving adequate metrics several requirements are stated (e. g. normalisation, cardinality, adaptivity, interpretability). Then the authors discuss existing approaches for measuring data quality and illustrate their weaknesses. Based upon these considerations, new metrics are developed for the data quality dimensions consistency and timeliness. These metrics are applied in practice and the results are illustrated in the case of a major German mobile services provider.
引用
收藏
页码：87 / 94
页数：8
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