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Towards a Framework for Corporate Data Quality Management

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abstract Todays market environment requires companies to be able to adapt to new business models and to improve their operational excellence in terms of process efficiency and organisational effectiveness. Agility and flexibility build on high-quality corporate data and powerful corporate data management. This paper proposes a framework for corporate data quality management. The structure of the framework consists of the three layers of Business Engineering (strategy, organisation and information systems) as well as the two perspectives of data management (governance and execution). The scope of the framework is deduced from the state of the art in the domains of IT and data management such as COBIT and ITIL. The framework helps to determine which tasks need to be performed for improving corporate data quality and how they are interrelated. It helps to combine corporate data management to the business objectives of an organisation and to anchor it efficiently within the existing organisational structure.
   
type conference paper (English)
   
keywords Data Governance, CDQ
   
name of conference 18th Australasian Conference on Information Systems (Toowoomba, Australia)
date of conference 01-09-2007
title of proceedings Proceedings of 18th Australasian Conference on Information Systems
page(s) 916-926
publisher The University of Southern Queensland (Toowoomba, Australia)
ISBN 9780909756963
review double-blind review
   
citation Otto, B., Wende, K., Schmidt, A., & Osl, P. (2007). Towards a Framework for Corporate Data Quality Management. In Toleman, M., Cater-Steel, A., & Roberts, D. (Eds.), Proceedings of 18th Australasian Conference on Information Systems, pp.916-926. Toowoomba, Australia: The University of Southern Queensland. - ISBN 9780909756963.