Design and implementation of Business-Driven BI platform based on cloud computing

Bin Wu, Lei Qin
{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于云计算的业务驱动BI平台的设计与实现
商业智能平台作为信息分析的软件平台,其在企业中的应用越来越受到重视。广泛应用于用户行为分析、客户流失预测等领域。然而,传统的BI平台面临着数据量大、算法时间和空间复杂度高、与BI工具集成不兼容等挑战。本文考虑设计和实现一个高层可扩展、易于自定义和集成的BI平台体系结构,我们可以根据我们给定的场景将指定的业务行为(程序)添加到平台中,我们称之为业务驱动。作为一个系统,我们对系统的各个部分进行了讨论,并与传统系统进行了比较。此外,我们利用从电信运营商处获取的大量数据,将云计算系统应用到一个几乎符合电信行业实际需求的应用场景中,证明了系统的高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A dynamic and integrated load-balancing scheduling algorithm for Cloud datacenters A CPU-GPU hybrid computing framework for real-time clothing animation The communication of CAN bus used in synchronization control of multi-motor based on DSP An improved dynamic provable data possession model Ensuring the data integrity in cloud data storage
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1