Business Intelligence and Analytics: Research Directions

Ee-Peng Lim, Hsinchun Chen, Guoqing Chen
{"title":"Business Intelligence and Analytics: Research Directions","authors":"Ee-Peng Lim, Hsinchun Chen, Guoqing Chen","doi":"10.1145/2407740.2407741","DOIUrl":null,"url":null,"abstract":"Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and markets. The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships. In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics. The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications. For each research direction, we will also determine a few important questions to be addressed in future research.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Trans. Manag. Inf. Syst.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2407740.2407741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and markets. The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships. In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics. The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications. For each research direction, we will also determine a few important questions to be addressed in future research.
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
商业智能与分析:研究方向
商业智能和分析(BIA)是关于技术、系统、实践和应用程序的开发,用于分析关键业务数据,从而获得有关业务和市场的新见解。新的见解可用于改进产品和服务,实现更好的运营效率,并促进客户关系。在本文中,我们将把BIA的研究活动分为三个广泛的研究方向:(a)大数据分析,(b)文本分析,(c)网络分析。本文旨在回顾最新的技术和模型,并总结其在BIA应用中的应用。对于每个研究方向,我们还将确定几个在未来研究中需要解决的重要问题。
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
Using Social Media to Analyze Public Concerns and Policy Responses to COVID-19 in Hong Kong COVID-Safe Spatial Occupancy Monitoring Using OFDM-Based Features and Passive WiFi Samples SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports Leveraging Individual and Collective Regularity to Profile and Segment User Locations from Mobile Phone Data Write Like a Pro or an Amateur? Effect of Medical Language Formality
×
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