暗数据管理是信息治理的前沿

Ahmad Fuzi Md Ajis, Siti Hajar Baharin
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引用次数: 2

摘要

信息治理(IG)降低运营成本,创造新企业的机会,为诉讼准备礼仪证据,同时通过使用适当和全面的信息政策遵守记录管理,致力于信息生命周期过程。与此同时,IG使用信息技术(IT)基础设施实现访问和发现,这些基础设施通过嵌入信息架构来限制基于特权和边界的信息,同时维持更好的业务运营。暗数据是作为组织正常运营的功能而收集的信息,但很少或从未被分析或用于制定明智的业务决策。通过IG的意思,与那些没有对暗数据采取认真行动的竞争对手相比,暗数据将极大地提高企业和机构的收入、增长和效率。因此,提出的暗数据管理模型包括1个主要核心治理元素,4个主要过程,但由很少的活动定义。该模型被认为是管理暗数据的通用方法,因为该过程不仅需要连续地应用于新的接收信息,而且需要连续地应用于存储的数据。暗数据挖掘过程不包含在该模型中,因为该模型侧重于基于每个组织的价值评估对当前属于暗数据类别的数据进行预防措施。
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 Management as frontier of Information Governance
Information Governance (IG) decrease cost of operation, creates opportunity of new ventures, prepare liturgical evidence for litigation while committing to the information lifecycle process by abiding records management using proper and comprehensive information policy. In the meantime, IG enabling access and discovery using Information Technology (IT) infrastructure that restrict information based on privileges and perimeters with the embedment of information architecture while sustaining better business operation. Dark data is information, collected as a function of an organization’s normal operations but rarely or never analyzed or used to make intelligent business decisions. By IG means, dark data would dramatically increase revenue, growth and efficiency of a business and institution compared to their competitor who don’t take serious action on dark data. As a result, a Dark Data Management Model proposed comprises of 1 main core governance element, 4 main processes but defined by few activities. The model was proposed as generic approach on managing dark data since the process should be applied continuously not only to new receiving information but also stored data. Dark data mining process was not included in the proposed model as the model focus on the preventive measure which can be used to current data which falls under the category of dark data based on the value assessment of each organization.
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