Abstract
Today’s market environment requires companies 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.
Recommended Citation
Otto, Boris; Wende, Kristin; Schmidt, Alexander; and Osl, Philipp, "Towards a Framework for Corporate Data Quality Management" (2007). ACIS 2007 Proceedings. 109.
https://aisel.aisnet.org/acis2007/109