暗数据作为提高业务绩效的新挑战:回顾和观点

Loubna Moumeni, Ilham Slimani, Ilhame El Farissi, M. Saber, M. Belkasmi
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引用次数: 1

摘要

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