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Journal of Information, Information Technology, and Organizations

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Data warehousing is an important area of practice and research, yet few studies have assessed its practices in general and critical success factors in particular. Although plenty of guidelines for implementation exist, few have been subjected to empirical testing. In order to better understand
implementation factors and their effect on data warehousing success, perceptions of data warehousing professionals are examined in a cross sectional survey. Best subsets regression is used to identify the specific factors that are important to each success variable. Since different companies may have different objectives or emphases in their data warehousing endeavors, the results are useful in identifying the exact factors that need attention and in providing a basis for prioritizing those factors. The results also suggest several promising directions for continued research on data warehousing success.


This article was archived with permission from IIAKM, all rights reserved. Document also available from Journal of Information, Information Technology, and Organizations.