Abstract
Despite the rapid growth in development and use of Data Warehousing (DW) systems, the data quality (DQ) aspects are not well defined and understood. Organizations rely on the information extracted from their DW for their day-to-day as well as critical and strategic business operations. Creating and maintaining a high level data quality is one of the key success factors for DW systems. This article examines the current practices of DQ, and proposes a research and experienced-based framework for DQ in DW, which describes an approach for defining, creating, and maintaining DQ management within DW environment.
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© 2009 Springer-Verlag Berlin Heidelberg
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Nemani, R.R., Konda, R. (2009). A Framework for Data Quality in Data Warehousing. In: Yang, J., Ginige, A., Mayr, H.C., Kutsche, RD. (eds) Information Systems: Modeling, Development, and Integration. UNISCON 2009. Lecture Notes in Business Information Processing, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01112-2_30
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DOI: https://doi.org/10.1007/978-3-642-01112-2_30
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