{"title":"Design and implementation of Business-Driven BI platform based on cloud computing","authors":"Bin Wu, Lei Qin","doi":"10.1109/CCIS.2011.6045044","DOIUrl":null,"url":null,"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.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
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.