Towards a Strategy Design Method for Corporate Data Quality Management

Item Type Conference or Workshop Item (Paper)
Abstract

Large, multidivisional enterprises need corporate data of high quality in order to meet a number of strategic business requirements, such as enterprisewide process harmonization, integrated customer management or compliance. Therefore, many enterprises today are in the process of establishing Corporate Data Quality Management (CDQM), which requires an overarching CDQM strategy. This paper presents a method for the development and implementation of a CDQM strategy. On the one hand the method provides guidance to a CDQM team. On the other hand, for corporate executives the method ensures that the CDQM strategy is derived from their objectives and that their requirements are systematically taken into account and fulfilled. Besides the method itself, the paper illustrates the entire design process which encompasses, among others, focus group and expert interviews, participative case studies and a multiperspective evaluation.

Authors Falge, Clarissa; Otto, Boris & Österle, Hubert
Editors Alt, Rainer & Franczyk, Bogdan
Research Team IWI2, CDQ
Language English
Keywords CDQ
Subjects information management
HSG Classification not classified
Refereed Yes
Date 28 February 2013
Publisher Universität Leipzig
Place of Publication Leipzig
Volume 1
Page Range 801-815
Number of Pages 15
Title of Book Proceedings of the 11th International Conference on Wirtschaftsinformatik (WI2013)
Event Title 11th International Conference on Wirtschaftsinformatik (WI 2013)
Event Location Leipzig, Germany
Event Dates 27.02.-01.03.2013
ISBN 978-3-00-041359-9
Official URL http://ul.qucosa.de/api/qucosa%3A11917/attachment/...
Depositing User Clarissa Falge
Date Deposited 14 Dec 2012 18:05
Last Modified 02 Aug 2017 10:30
URI: https://www.alexandria.unisg.ch/publications/218722

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Citation

Falge, Clarissa; Otto, Boris & Österle, Hubert: Towards a Strategy Design Method for Corporate Data Quality Management. 2013. - 11th International Conference on Wirtschaftsinformatik (WI 2013). - Leipzig, Germany.

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https://www.alexandria.unisg.ch/id/eprint/218722
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