Quantitative analysis of data warehouse design quality Online publication date: Tue, 15-Jun-2010
by M. Pighin, L. Ieronutti
International Journal of Intelligent Defence Support Systems (IJIDSS), Vol. 3, No. 1/2, 2010
Abstract: Information systems allow companies to collect a large number of operational and transactional data. Data warehouses are increasingly used by organisations to extract concise information supporting decision processes. However, data warehouse design strategies as well as the structure and content of the original database largely influence the effectiveness of such tools. Our research is focused on data-driven approaches, and in this paper, we present a solution that, based on a set of metrics measuring different characteristics of the original data sources, effectively supports the creation of data warehouses. Moreover, combining the indexes computed by our metrics on selected dimensions and measures, it is also possible to derive quantitative information on the design quality of the final data warehouse. To demonstrate the effectiveness of our solution, we briefly present the results obtained from the analysis of a selling data warehouse derived from a real-word ERP system.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Defence Support Systems (IJIDSS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com