DocumentCode
1811847
Title
Design and implementation of Business-Driven BI platform based on cloud computing
Author
Wu, Bin ; Qin, Lei
Author_Institution
Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2011
fDate
15-17 Sept. 2011
Firstpage
118
Lastpage
122
Abstract
Business Intelligence Platform as a software platform for information analysis is increasingly considered for its applications in the enterprises. It is widely used for User Behavior Analysis, Customer Churn Prediction, etc. However, the challenges that the traditional BI platform faces includes the tremendous volume of data, high time and space complexity of algorithms and the incompatibility in the Integration to the BI tools. In this paper, we conside the design and the implement of a BI platform architecture which is extendable in the high level and can be easily customized and integrated, that we can add specified business behavior(program) into the platform according to our given scenario, which we call Business Driven. As a system, we discuss every part of the system, in the comparison of the traditional system. Furthermore, we apply the cloud computing system into an application scenario that nearly meets real-world requirements of telecom industry by employing a large volume of data obtained from the telecom operators, and the high efficiency of the system is demonstrated.
Keywords
business data processing; cloud computing; competitive intelligence; computational complexity; behavior analysis; business driven; business driven BI platform; cloud computing; customer churn prediction; information analysis; software platform; space complexity; telecom industry; telecom operators; time complexity; Bismuth; Business; Cloud computing; Complexity theory; Computer architecture; Telecommunications; Business Driven; Business Intelligence; Cloud Computing; Platform; Platform as a Service;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-61284-203-5
Type
conf
DOI
10.1109/CCIS.2011.6045044
Filename
6045044
Link To Document