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Business Data Warehouse

The Case of Wal-Mart

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book 01 Jan 2006 China (People's Republic of) Publisher:IGI Global

Authors: Lam, A; Li, I; Bose, I; Leung, V; Wong, H;

doi: 10.4018/978-1-59904-951-9.ch172 , 10.4018/9781591406846.ch008 , 10.4018/978-1-59140-684-6.ch008 , 10.4018/978-1-59904-657-0.ch010 , 10.4018/9781599046570.ch010

handle: 10722/121273

Business Data Warehouse

- Summary
- Metrics

Abstract

The retailing giant Wal-Mart owes its success to the efficient use of information technology in its operations. One of the noteworthy advances made by Wal-Mart is the development of the data warehouse which gives the company a strategic advantage over its competitors. In this chapter, the planning and implementation of the Wal-Mart data warehouse is described and its integration with the operational systems is discussed. The chapter also highlights some of the problems encountered in the developmental process of the data warehouse. The implications of the recent advances in technologies such as RFID, which is likely to play an important role in the Wal-Mart data warehouse in future, is also detailed in this chapter.

Country

China (People's Republic of)

Related Organizations

University of Hong Kong (香港大學)
China (People's Republic of)
University of Hong Kong
China (People's Republic of)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average