Heinrich, Bernd and Kaiser, Marcus and Klier, Mathias (2007) How to measure Data Quality? A Metric-based Approach. In: 28th International Conference of Information Systems (ICIS), 2007, Queen's University Montreal, Kanada.
The growing relevance of data quality has revealed the need for adequate measurement since quantifying data quality is essential for planning quality measures in an economic manner. This paper analyzes how data quality can be quantified with respect to particular dimensions. Firstly, several requirements are stated (e.g. normalization, interpretability) for designing adequate metrics. Secondly, we analyze metrics in literature and discuss them with regard to the requirements. Thirdly, based on existing approaches new metrics for the dimensions correctness and timeliness that meet the defined requirements are designed. Finally, we evaluate our metric for timeliness in a case study: In cooperation with a major German mobile services provider, the approach was applied in campaign management to improve both success rates and profits.
|Item Type:||Conference or Workshop Item (Paper)|
|Institutions:|| Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich)|
Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Professur für Wirtschaftsinformatik - Qualitätsmanagement und Qualitätssicherung (Prof. Dr. Mathias Klier)
|Keywords:||Data Quality, Data Quality Management, Data Quality Metrics|
|Subjects:||300 Social sciences > 330 Economics|
|Created at the University of Regensburg:||Unknown|
|Deposited On:||28 Mar 2012 15:03|
|Last Modified:||28 Sep 2012 10:35|