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Authors: Bernd Heinrich ; Marcus Kaiser and Mathias Klier

Affiliation: University of Augsburg, Germany

ISBN: 978-989-8111-07-4

Keyword(s): Data Quality, Data Quality Management, Data Quality Metrics.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Data Management and Quality ; Information Quality

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 several formats:
Heinrich B.; Kaiser M.; Klier M. and (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 2: ICSOFT, ISBN 978-989-8111-07-4, pages 87-94. DOI: 10.5220/0001325600870094

@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 2: ICSOFT,},
year={2007},
pages={87-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001325600870094},
isbn={978-989-8111-07-4},
}

TY - CONF

JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: 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

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