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Seven Key Interventions for DATA WAREHOUSE SUCCESS.

Authors :
Chenoweth, Tim
Corral, Karen
Demirkan, Haluk
Source :
Communications of the ACM. Jan2006, Vol. 49 Issue 1, p114-119. 6p. 4 Diagrams.
Publication Year :
2006

Abstract

The article discusses key interventions for Data warehouse success. In the 1990s, in the U.S. adaptive structuration theory (AST) was developed to understand conflicting results related to warehouse success. This theory analyzes the technological and contextual aspects of the application of a technology, focusing on their interactions. AST recognizes that both the features of a technology and the context in which it is implemented affect the use of that technology. AST states that the structured use of a technology makes it easier to develop a consensus among the users about how the innovation should be used and the appropriateness of that use. Ambiguity about use of the technology diminishes the comfort of the users with the technology. Data warehouses are generally designed around one of two plans. Some data warehouses are designed with a set of data marts that partition the data warehouse into smaller, focused databases tailored to the information needs of a subset of users. Business units that accessed their data through data marts were usually more successful than units that accessed it through a single repository

Details

Language :
English
ISSN :
00010782
Volume :
49
Issue :
1
Database :
Academic Search Index
Journal :
Communications of the ACM
Publication Type :
Periodical
Accession number :
19349579
Full Text :
https://doi.org/10.1145/1107458.1107464