The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Business Data Warehouse: The Case of Wal-Mart
|
Author(s): Indranil Bose (The University of Hong Kong, Hong Kong), Lam A.K. Chun (The University of Hong Kong, Hong Kong), Leung V.W. Yue (The University of Hong Kong, Hong Kong), Li H.W. Ines (The University of Hong Kong, Hong Kong)and Wong O.L. Helen (The University of Hong Kong, Hong Kong)
Copyright: 2006
Pages: 14
Source title:
Database Modeling for Industrial Data Management: Emerging Technologies and Applications
Source Author(s)/Editor(s): Zongmin Ma (Northeastern University, China)
DOI: 10.4018/978-1-59140-684-6.ch008
Purchase
|
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.
Related Content
Renjith V. Ravi, Mangesh M. Ghonge, P. Febina Beevi, Rafael Kunst.
© 2022.
24 pages.
|
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N..
© 2022.
20 pages.
|
Ram Singh, Rohit Bansal, Sachin Chauhan.
© 2022.
19 pages.
|
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka.
© 2022.
17 pages.
|
Vladimir Nikolaevich Kustov, Ekaterina Sergeevna Selanteva.
© 2022.
23 pages.
|
Krati Reja, Gaurav Choudhary, Shishir Kumar Shandilya, Durgesh M. Sharma, Ashish K. Sharma.
© 2022.
18 pages.
|
Nwosu Anthony Ugochukwu, S. B. Goyal.
© 2022.
23 pages.
|
|
|