An object-oriented framework for data quality management of enterprise data warehouse

Authors:
Wang Li;Li Lei
Affiliations:
Software Institute of Sun Yat-Sen University, Guangzhou, China;Software Institute of Sun Yat-Sen University, Guangzhou, China
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

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Abstract

Enterprise data warehousing technology aims at providing integrated, consolidated and historical data for users to analyze businesses and make decisions. In order to obtain the correct results, the high data quality is required. In this paper, we analyze the quality problems of enterprise data warehouse and present an object-oriented framework for data quality management. In this framework, an object-oriented data quality model (OODQM) is built. The data quality requirements, the participators, the data quality checking object, and the possible data quality problems, form the core components of OODQM. The method we provide is a goal-driven method. Once the data quality goal is built, we manage data quality by the interaction of those components of OODQM.