A Meta-model for Data Quality Management Simulation

Item Type Conference or Workshop Item (Paper)
Abstract

Data quality management initiatives could both help to prevent the occurrence of data defects and repair their effect. While such initiatives can reduce overall costs, they also cause costs for their development and implementation. Therefore, the overall aim is not to improve data quality by any means, but to ensure cost-efficiency. The paper proposes a meta-model for simulating data quality management, which can be used for planning of cost-efficient initiatives.

Authors Otto, Boris & Hüner, Kai
Editors Bowen, Paul; Elmagarmid, Ahmed K.; Österle, Hubert & Sattler, Kai-Uwe
Research Team IWI2, CDQ
Language English
Keywords Corporate Data Quality, Controlling, Corporate Data Quality Scorecard
Subjects information management
HSG Classification not classified
Refereed Yes
Date 8 November 2009
Publisher Curran
Place of Publication Red Hook, NY
Page Range 260-267
Number of Pages 8
Title of Book Proceedings of the 14th International Conference on Information Quality, ICIQ 2009
Event Title 14th International Conference on Information Quality (ICIQ-2009)
Event Location Potsdam
Event Dates 07.-08.11.2009
ISBN 978-1-61738-914-6
Depositing User Prof. Dr. Boris Otto
Date Deposited 26 Jan 2011 14:15
Last Modified 19 Jul 2017 13:58
URI: https://www.alexandria.unisg.ch/publications/213630

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Citation

Otto, Boris & Hüner, Kai: A Meta-model for Data Quality Management Simulation. 2009. - 14th International Conference on Information Quality (ICIQ-2009). - Potsdam.

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https://www.alexandria.unisg.ch/id/eprint/213630
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