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Implications of Big Data for Customs - How It Can Support Risk Management Capabilities

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Published
2017
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The purpose of this paper is to discuss the implications of Big Data for Customs, particularly in terms of risk management. To ensure that better informed and smarter decisions are taken, some Customs administrations have already embarked on big data initiatives, leveraging the power of analytics, ensuring the quality of data (regarding cargos, shipments and conveyances), and widening the scope of data they could use for analytical purposes. This paper illustrates these initiatives based on the information shared by five Customs administrations: Canada Border Services Agency (CBSA); Customs and Excise Department, Hong Kong, China (‘Hong Kong China Customs); New Zealand Customs Service (‘New Zealand Customs’); Her Majesty’s Revenue and Customs (HMRC), the United Kingdom; and U.S. Customs and Border Protection (USCBP).

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