Deakin home > Deakin University Library > Deakin Research Online > A SOA-driven business intelligence architecture

A SOA-driven business intelligence architecture

Chan, Lee-Kwun, Sim, Yee-Wai and Yeoh, William 2011, A SOA-driven business intelligence architecture, Communications of the IBIMA, vol. 2011, no. 216423, pp. 1-8.

Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title A SOA-driven business intelligence architecture
Author(s) Chan, Lee-Kwun
Sim, Yee-Wai
Yeoh, William
Journal name Communications of the IBIMA
Volume number 2011
Issue number 216423
Start page 1
End page 8
Publisher IBIMA Publishing
Place of publication Audubon, Pa.
Publication date 2011
ISSN 1943-7765
Keyword(s) enterprise business intelligence
service-oriented architecture
business intelligence architecture
Summary A business intelligence architecture comprises of different unique components to collect, transform, analyze and present the structured and unstructured raw data in simple formats to assist decision makers in making timely decisions. The introduction of service-oriented architecture (SOA) enables reusable services which are accessible over a network on demand. However, there is still a lack of academic literatures on the business intelligence architecture with service-oriented concept. Based upon various references on BI architectures from major vendors, a novel BI architecture that is built on service-oriented concept is presented and described in this paper. The proposed service-oriented architecture enables enterprises to deploy a more agile, flexible, cheaper, reusable, reliable and responsive BI applications in supporting decision making process.
Language eng
Field of Research 080699 Information Systems not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2011 Lee-Kwun Chan, Yee-Wai Sim and William Yeoh.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30036782

Document type: Journal Article
Collections: Faculty of Business and Law
School of Information Systems
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 88 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 05 Sep 2011, 16:03:45 EST by Katrina Fleming