• 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