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The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06)
Real Time Business Intelligence for the Adaptive Enterprise
San Francisco, CA
June 26-June 29
ISBN: 0-7695-2511-3
ASCII Text
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B Azvine, Z Cui, D D Nauck, B Majeed, "Real Time Business Intelligence for the Adaptive Enterprise," E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on, pp. 29, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06), 2006.
 
 
BibTex
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@article{ 10.1109/CEC-EEE.2006.73,
author = {B Azvine and Z Cui and D D Nauck and B Majeed},
title = {Real Time Business Intelligence for the Adaptive Enterprise},
journal ={E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2511-3},
pages = {29},
doi = {http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2006.73},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on
TI - Real Time Business Intelligence for the Adaptive Enterprise
SN - 0-7695-2511-3
SP
EP
A1 - B Azvine,
A1 - Z Cui,
A1 - D D Nauck,
A1 - B Majeed,
PY - 2006
KW - real-time business intelligence
KW - data analysis
KW - data integration
KW - business process management
VL - 0
JA - E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on
ER -
 
In today's competitive environment, analysing data to predict market trends and to improve enterprise performance is an essential business activity. However, it is becoming clear that business success requires such data analysis to be carried out in real-time, and that actions in response to analysis results must also be performed in realtime in order to meet the rapid change in demand from customers and regulators alike. This paper discusses issues and problems of current business intelligence systems, and then outlines our vision of future real-time business intelligence. We present a list of emerging technologies that are being developed within the research program of British Telecommunications plc (BT), which could contribute to the realisation of real-time business intelligence, in addition to some examples of applying these technologies to improve BT?s systems and services.
Index Terms:
real-time business intelligence, data analysis, data integration, business process management
Citation:
B Azvine, Z Cui, D D Nauck, B Majeed, "Real Time Business Intelligence for the Adaptive Enterprise," cec-eee, pp.29, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06), 2006
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