METRICS FOR MEASURING DATA QUALITY - Foundations for an Economic Data Quality Management

Bernd Heinrich, Marcus Kaiser, Mathias Klier

Abstract

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.

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Paper Citation


in Harvard Style

Heinrich B., Kaiser M. and Klier M. (2007). METRICS FOR MEASURING DATA QUALITY - Foundations for an Economic Data Quality Management . In Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-07-4, pages 87-94. DOI: 10.5220/0001325600870094


in Bibtex Style

@conference{icsoft07,
author={Bernd Heinrich and Marcus Kaiser and Mathias Klier},
title={METRICS FOR MEASURING DATA QUALITY - Foundations for an Economic Data Quality Management},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2007},
pages={87-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001325600870094},
isbn={978-989-8111-07-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - METRICS FOR MEASURING DATA QUALITY - Foundations for an Economic Data Quality Management
SN - 978-989-8111-07-4
AU - Heinrich B.
AU - Kaiser M.
AU - Klier M.
PY - 2007
SP - 87
EP - 94
DO - 10.5220/0001325600870094