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Quality Management of Corporate Data Assets

Quality Management of Corporate Data Assets

Boris Otto
Copyright: © 2011 |Pages: 17
ISBN13: 9781616928896|ISBN10: 1616928891|EISBN13: 9781616928919
DOI: 10.4018/978-1-61692-889-6.ch010
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MLA

Otto, Boris. "Quality Management of Corporate Data Assets." Quality Management for IT Services: Perspectives on Business and Process Performance, edited by Claus-Peter Praeg and Dieter Spath, IGI Global, 2011, pp. 193-209. https://doi.org/10.4018/978-1-61692-889-6.ch010

APA

Otto, B. (2011). Quality Management of Corporate Data Assets. In C. Praeg & D. Spath (Eds.), Quality Management for IT Services: Perspectives on Business and Process Performance (pp. 193-209). IGI Global. https://doi.org/10.4018/978-1-61692-889-6.ch010

Chicago

Otto, Boris. "Quality Management of Corporate Data Assets." In Quality Management for IT Services: Perspectives on Business and Process Performance, edited by Claus-Peter Praeg and Dieter Spath, 193-209. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-889-6.ch010

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Abstract

Corporate data assets such as customer, material, and supplier master data are critical when it comes to fulfilling business requirements such as compliance to regulations, integrated customer management and global business process integration. Surprisingly, companies do not treat corporate data as an asset, but rather focus on reactive quality management measures only. As a response to that, the chapter reports on the design of a reference model for Corporate Data Quality Management (CDQM). Following the principles of Design Science Research (DSR), the design process involved professionals of fourteen corporations headquartered in Germany and Switzerland. The reference model consists of six design areas which altogether comprise fifteen goals and 43 related practices. It supports practitioners during the establishment and optimization of their CDQM initiatives.

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