DocumentCode :
2138870
Title :
Business Intelligence An Industrial Perspective
Author :
Hsu, Meichun
Author_Institution :
HP Labs, Beijing
fYear :
2007
fDate :
16-19 Oct. 2007
Firstpage :
3
Lastpage :
3
Abstract :
Information technology has long enabled enterprises to conduct business transactions efficiently. The advent of Web and the accompanying pervasive search, retrieval and mining technologies have opened up a new frontier for enterprises. Enterprises, private or public, are expected to capitalize on information of many sources and forms to detect events and respond to changes quickly for business advantages. In this talk, we will discuss next-generation business intelligence architectures that will likely enable business intelligence applications to scale significantly both in computation and in volume of data, and thus opening up possibilities that are not practical today, by fusing parallel computing and parallel data management technologies and by going way beyond the type and scope of data harnessed in traditional online transaction processing systems.
Keywords :
competitive intelligence; data mining; parallel processing; business advantages; business intelligence architectures; business transactions; information technology; mining technologies; online transaction processing systems; parallel computing; parallel data management technologies; pervasive search; Computer architecture; Computer industry; Concurrent computing; Data analysis; Engineering management; Event detection; Information technology; Parallel processing; Research and development management; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2007. CIT 2007. 7th IEEE International Conference on
Conference_Location :
Aizu-Wakamatsu, Fukushima
Print_ISBN :
978-0-7695-2983-7
Type :
conf
DOI :
10.1109/CIT.2007.187
Filename :
4385046
Link To Document :
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