eCommerce, Brexit, new safety and security concerns are only a few examples of the challenges that government organisations, in particular customs administrations, face today when controlling goods crossing borders. To deal with the enormous volumes of trade customs administrations rely more and more on information technology (IT) and risk assessment, and are starting to explore the possibilities that data analytics (DA) can offer to support their supervision tasks. Driven by customs as our empirical domain, we explore the use of DA to support the supervision role of government. Although data analytics is considered to be a technological breakthrough, there is so far only a limited understanding of how governments can translate this potential into actual value and what are barriers and trade-offs that need to be overcome to lead to value realisation. The main question that we explore in this paper is: How to identify the value of DA in a government supervision context, and what are barriers and trade-offs to be considered and overcome in order to realise this value? Building on leading models from the information system (IS) literature, and by using case studies from the customs domain, we developed the Value of Data Analytics in Government Supervision (VDAGS) framework. The framework can help managers and policy-makers to gain a better understanding of the benefits and trade-offs of using DA when developing DA strategies or when embarking on new DA projects. Future research can examine the applicability of the VDAGS framework in other domains of government supervision.

电子商务，英国退欧，新的安全和保障问题只是政府组织（尤其是海关管理部门）如今在控制跨境货物时面临的挑战的几个例子。为了应对大量的贸易海关，行政管理部门越来越依赖于信息技术（IT）和风险评估，并开始探索数据分析（DA）可以提供以支持其监管任务的可能性。在海关作为我们的经验领域的驱动下，我们探索使用DA来支持政府的监督作用。尽管数据分析被认为是一项技术突破，迄今为止，对于政府如何将这种潜力转化为实际价值以及什么才是需要实现的价值壁垒和权衡取舍，人们只有很少的了解。我们在本文中探讨的主要问题是：如何在政府监管背景下确定DA的价值，以及为实现该价值需要考虑和克服的障碍和折衷方案是什么？基于信息系统（IS）文献中的领先模型，并通过使用海关领域的案例研究，我们开发了数据分析在政府监管（VDAGS）框架中的价值。该框架可以帮助管理人员和决策者在制定发展议程战略或着手进行新的发展议程项目时更好地了解使用发展议程的好处和取舍。未来的研究可以检查VDAGS框架在政府监管的其他领域中的适用性。