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Challenges in Value-Driven Data Governance

机译:价值驱动数据治理的挑战

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Data is quite popularly considered to be the new oil since it has become a valuable commodity. This has resulted in many entities and businesses that hoard data with the aim of exploiting it. Yet, the 'simple' exploitation of data results in entities who are not obtaining the highest benefits from the data, which as yet is not considered to be a fully-fledged enterprise asset. Such data can exist in a duplicated, fragmented, and isolated form, and the sheer volume of available data further complicates the situation. Issues such as the latter highlight the need for value-based data governance, where the management of data assets is based on the quantification of the data value. This paper has the purpose of creating awareness and further understanding of challenges that result in untapped data value. We identify niches in related work, and through our experience with businesses who use data assets, we here analyse four main context-independent challenges that hinder entities from achieving the full benefits of using their data. This will aid in the advancement of the field of value-driven data governance and therefore directly affect data asset exploitation.
机译:数据非常受欢迎,因为它已成为宝贵的商品。这导致了许多实体和业务,以追溯到利用它的目的。然而,“简单”利用数据导致没有获得数据的最高福利的实体,这尚未被认为是一个完全剥离的企业资产。这些数据可以存在于复制,碎片和孤立的形式中,并且可用数据的庞大卷进一步复杂化了情况。后者之类的问题突出了对基于价值的数据治理的需求,数据资产管理基于数据值的量化。本文的目的是创造意识和进一步了解导致未开发的数据价值的挑战。我们识别相关工作中的利基,并通过我们与使用数据资产的企业的经验,我们在这里分析了四种主要的背景无关挑战,阻碍了实体从实现了使用他们的数据的充分利益。这将有助于推进价值驱动数据治理领域,因此直接影响数据资产剥削。

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