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How to measure Data Quality? A Metric-based Approach

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.

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Abstract

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, ...

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Item Type:Conference or Workshop Item (Paper)
Date:2007
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
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Pub Heinrich
Deposited On:28 Mar 2012 15:03
Last Modified:13 Mar 2014 18:43
Item ID:23633
Owner Only: item control page

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