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A Policy-based Approach for Measuring Data Quality

机译:一种基于策略的数据质量度量方法

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With the growing importance of data in all aspects of the functioning of an enterprise, having good quality of data is crucial in support of business processes. However, there do not exist good metrics to measure the quality of data that is available within an enterprise. While there are several data quality standards, their complexity and their required customization makes them difficult to use in real-world industrial scenarios. In this paper, we discuss the challenges encountered in measuring data quality within asset management systems. We propose a policy-based approach for measuring data quality, and show how such an approach can be customized and interpreted easily by practitioners in the field.
机译:随着数据在企业运作的各个方面的重要性日益提高,拥有良好的数据质量对于支持业务流程至关重要。但是,不存在衡量企业内部可用数据质量的良好指标。尽管有几种数据质量标准,但它们的复杂性和所需的自定义性使其难以在现实的工业场景中使用。在本文中,我们讨论了在资产管理系统中衡量数据质量时遇到的挑战。我们提出了一种基于策略的方法来测量数据质量,并展示了该方法如何可以由本领域的从业者轻松定制和解释。

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