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
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