A metadatabase-enabled executive infon-nation system (Part B): Methods for dynamic multidimensional data analysis
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摘要In tandem with the growth of the Internet and e-business, the number of digital data sources has increased immensely. These data sources contain important transactional data and are generally interconnected via a network. This has created a pressing need for a suitable executive information system (EIS) that is capable of extracting data from internal and external data sources and providing data analysis on demand for business executives. On-demand data analysis requires an information integration approach that can manage rapid changes in data sources. Existing EISs commonly adopt data warehousing technology to consolidate data from multiple sources in a tailor-made fashion, and support predefined multidimensional data analysis. However, this architecture is neither adaptable to changes in local sources nor flexible enough for ad hoc analyses. This paper develops methods and algorithms for a new EIS architecture that takes advantage of a metadatabase to achieve adaptability and flexibility. A PC-based prototype is built to prove the concept. (c) 2006 Elsevier B.V. All rights reserved.
著者Cheung W, Babin G
期刊名稱Decision Support Systems
出版年份2006
月份12
日期1
卷號42
期次3
出版社ELSEVIER SCIENCE BV
頁次1599 - 1612
國際標準期刊號0167-9236
電子國際標準期刊號1873-5797
語言英式英語
關鍵詞data warehouse; executive information systems; metadatabase management system; on-line analytical processing; systems integration
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; Computer Science, Information Systems; COMPUTER SCIENCE, INFORMATION SYSTEMS; Operations Research & Management Science; OPERATIONS RESEARCH & MANAGEMENT SCIENCE

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