Dark data as a new challenge to improve business performances: review and perspectives

Loubna Moumeni, Ilham Slimani, Ilhame El Farissi, M. Saber, M. Belkasmi
{"title":"Dark data as a new challenge to improve business performances: review and perspectives","authors":"Loubna Moumeni, Ilham Slimani, Ilhame El Farissi, M. Saber, M. Belkasmi","doi":"10.1109/ICDATA52997.2021.00049","DOIUrl":null,"url":null,"abstract":"Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware [1]. This unmanaged, unrated, and unknown data is prevalent in most companies. This overlooked information takes up valuable storage capacity and may contain hidden risks and usually lies abandoned on the periphery of the information governance agenda. In this article, we present and discuss the value of dark data and focus on risks caused by this dark data. To this end, we provide statistics of a major IDC (International Data Corporation) and other companies. We also explain how this new term in the world of data can be exploited, to avoid the risks.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDATA52997.2021.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware [1]. This unmanaged, unrated, and unknown data is prevalent in most companies. This overlooked information takes up valuable storage capacity and may contain hidden risks and usually lies abandoned on the periphery of the information governance agenda. In this article, we present and discuss the value of dark data and focus on risks caused by this dark data. To this end, we provide statistics of a major IDC (International Data Corporation) and other companies. We also explain how this new term in the world of data can be exploited, to avoid the risks.
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
暗数据作为提高业务绩效的新挑战:回顾和观点
许多关于大数据的研究关注的是对研究人员可用数据的使用,而没有研究人员不知道的服务器上的治疗数据[1]。这种未管理、未评级和未知的数据在大多数公司都很普遍。这些被忽视的信息占用了宝贵的存储容量,可能包含隐藏的风险,通常被遗弃在信息治理议程的外围。在本文中,我们介绍和讨论了暗数据的价值,并重点讨论了暗数据带来的风险。为此,我们提供了各大IDC(国际数据公司)等公司的统计数据。我们还解释了如何利用数据世界中的这个新术语来避免风险。
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
Extended T-Type Topology of Single-Phase Multi-Level Inverter Sentiment analysis through word embedding using AraBERT: Moroccan dialect use case Contribution to improving the conditions of access to very high speed 5G internet for online education in developing African countries Direct Torque Control for Induction Motor A Survey of Spam Bots Detection in Online Social Networks
×
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