A Cybernetic View on Data Quality Management

Item Type Conference or Workshop Item (Paper)

Corporate data of poor quality can have a negative impact on the performance of business processes and thereby the success of companies. In order to be able to work with data of good quality, data quality requirements must clearly be defined. In doing so, one has to take into account that both the provision of high-quality data and the damage caused by low-quality data brings about considerable costs. As each company's database is a dynamic system, the paper proposes a cybernetic view on data quality management (DQM). First, the principles of a closed-loop control system are transferred to the field of DQM. After that a meta-model is developed that accounts for the central relations between data quality, business process performance, and related costs. The meta-model then constitutes the basis of a simulation technique which aims at the explication of assumptions (e.g. on the effect of improving a data architecture) and the support of DQM decision processes.

Authors Otto, Boris; Hüner, Kai & Österle, Hubert
Research Team IWI2, CDQ
Language English
Keywords Datenqualitätsmanagement
Subjects information management
HSG Classification not classified
Refereed Yes
Date 14 August 2010
Publisher Association for Information Systems
Place of Publication AIS Electronic Library (AISeL)
Title of Book Proceedings of the 16th Americas Conference on Information Systems (AMCIS) 2010
Event Title 16th Americas Conference on Information Systems (AMCIS 2010)
Event Location Lima, Peru
Event Dates 12.-15.08.2010
ISBN 978-3-642-15140-8
Official URL http://aisel.aisnet.org/amcis2010/423/
Depositing User Prof. Dr. Boris Otto
Date Deposited 17 Aug 2010 17:05
Last Modified 20 Apr 2017 15:11
URI: https://www.alexandria.unisg.ch/publications/213144


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Otto, Boris; Hüner, Kai & Österle, Hubert: A Cybernetic View on Data Quality Management. 2010. - 16th Americas Conference on Information Systems (AMCIS 2010). - Lima, Peru.


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