The full text of this article
A data analysis model for business intelligence
by Arie Segev, Shin-Chung Shao, J. Leon Zhao
International Journal of Internet and Enterprise Management (IJIEM), Vol. 1, No. 1, 2003
Abstract: Business intelligence (BI) has become an integral part of e-business activities of companies. The success of such effort is dependent on integration and management of terabytes of transactional data in a large-scale data warehouse to support various analyses. In the last two years, web-oriented BI and outsourcing have led to more challenging problems of integrating these new types of data with the internal transactional data. Furthermore, recent trends in enabling the real-time company have placed new performance demands on BI software. Significant research has been carried out in optimising multidimensional aggregation in data warehousing that serves as the base data for BI analysis software. However, virtually all of this work has focused on either simple aggregates or on specialised analysis such as in human genome and other scientific applications. In this paper, we focus on statistical analysis models and techniques to reduce the volume of base data and enable real-time BI analysis. We introduce a new data aggregation model, referred to as the multivariate and multidimensional aggregated data model (M²AD), for supporting statistical computing in a data warehouse environment.
Online publication date: Sat, 13-Dec-2003
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
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 Internet and Enterprise Management (IJIEM):
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 firstname.lastname@example.org