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首页> 外文会议>IFIP WG 6.11 conference on e-business, e-services, and e-society >Coordinating Data-Driven Decision-Making in Public Asset Management Organizations: A Quasi-Experiment for Assessing the Impact of Data Governance on Asset Management Decision Making
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Coordinating Data-Driven Decision-Making in Public Asset Management Organizations: A Quasi-Experiment for Assessing the Impact of Data Governance on Asset Management Decision Making

机译：协调公共资产管理组织中的数据驱动决策：评估数据治理对资产管理决策影响的拟实验

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Public organizations are facing increasing challenges to the management of their infrastructure assets. New sources of data, such as social media and IoT, can provide new insights for organizations to help them deal with these challenges. Yet data must be of sufficient quality in order to be acted upon. The objective of this study is to develop and approach to evaluate how data governance improves decision-making in asset management organizations. This paper describes a quasi-experiment which identifies and quantifies relationships between data governance and improvements in asset management decision-making. The quasi-experiment focusses on data requirements for determining current and future asset conditions, which is critical for assessing remaining service life and risk of failure. The quasi-experiment utilizes a pre-test post-test control group design. We expect that the inclusion of data governance improves the quality of data which allows for improved decision-making in asset management organizations.
机译：公共组织在管理其基础设施资产方面面临着越来越多的挑战。社交媒体和物联网等新的数据源可以为组织提供新的见解，以帮助他们应对这些挑战。然而，数据必须具有足够的质量才能采取行动。这项研究的目的是开发和评估数据治理如何改善资产管理组织的决策。本文介绍了一种准实验，该实验可以识别和量化数据治理与资产管理决策制定中的关系。准实验侧重于确定当前和将来资产状况的数据要求，这对于评估剩余使用寿命和失败风险至关重要。准实验采用测试前测试后对照组的设计。我们期望包含数据治理可以提高数据质量，从而改善资产管理组织的决策。

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