Data Quality Problems and Proactive Data Quality Management in Data - Warehouse - Systems Research Paper
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چکیده
منابع مشابه
Proactive data quality management for data warehouse systems
Data warehousing has captured the attention of practitioners and researchers for a long time, whereas aspects of data quality is one of the crucial issues in data warehousing [ENG99; HEL00]. Still, ensuring high level data quality is one of the most expensive and time-consuming tasks to perform in data warehousing projects [HAE98]. Many data warehouse projects are discontinued due to insufficie...
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In today’s highly competitive world, enterprises are using Data Warehouse (DW) systems in order to make better and faster decisions. However, the success of a DW project is related to the quality of the information. This quality depends on data cleansing, consolidation and extraction processes. In this paper, an architecture for DW systems is proposed. This architecture provides high data quali...
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Data warehouse is one of the most rapidly growing areas in management information systems. With this approach, data for EIS and DSS applications is separated from operational data and stored in a separate database called a data warehouse. Some of the advantages of this approach are improved performance, better data quality, and the ability to consolidate and summarize data from heterogeneous le...
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High level data quality and the management of ensuring data quality is one of the key success factors for Data Warehousing projects. The following article describes an approach for Data Quality Management, which is based on theories as well as practical experiences. Starting from effects of insufficient data quality in practice, a definition for information, data and data quality will be worked...
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تاریخ انتشار 2001