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

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.

Metadaten
Author:	Bernd Heinrich GND, Marcus Kaiser, Mathias Klier
URN:	urn:nbn:de:bvb:384-opus4-1200325
Frontdoor URL	https://opus.bibliothek.uni-augsburg.de/opus4/120032
ISBN:	978-989-8111-07-4OPAC
Parent Title (English):	Proceedings of the Second International Conference on Software and Data Technologies (ICSOFT 2007), July 22-25, 2007, Barcelona, Spain, volume 2
Publisher:	SciTePress
Place of publication:	Setúbal
Editor:	Joaquim Filipe, Markus Helfert, Boris Shishkov
Type:	Conference Proceeding
Language:	English
Year of first Publication:	2007
Publishing Institution:	Universität Augsburg
Release Date:	2025/03/12
First Page:	87
Last Page:	94
DOI:	https://doi.org/10.5220/0001325600870094
Institutes:	Wirtschaftswissenschaftliche Fakultät
	Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre
	Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Lehrstuhl für Wirtschaftsinformatik, Informations- & Finanzmanagement
Dewey Decimal Classification:	3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):	CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)

Open Access