![]() To address this challenge, the KCS decided to boost its data analysis capacity by bringing together Customs officers trained in data mining and Customs experts dealing with the clearance of express cargo and postal items. A word cloud created by analysing the descriptions of goods bought online by a single trader Korea Post also send some information on parcels electronically. ![]() It is worth mentioning here that, in Korea, express couriers send requested clearance information electronically, in order to permit the pre-advice and possible pre-clearance of items. Korea has a tax-exemption system and simplified Customs procedures in place for “low-value goods,” and there is reason to believe, for example, that criminals sneak in smaller quantities of goods in separate consignments to avoid reaching the de minimis thresholds, above which duties and/or taxes become payable.īut so far, Customs has failed to effectively respond to this form of crime using conventional methods due to difficulties in analysing the 200 million pieces of data that have been generated just over the past 10 years. With the exponential growth in e-commerce, the number of small parcels to be cleared by Customs has skyrocketed, stretching the limits of Customs enforcement capacities. This article presents an experiment that the KCS has been undertaking to see whether new analytical tools could help in testing a hypothesis related to commercial fraud via express cargo and postal items, and identify potential illicit transactions. Moreover, it is planning to raise 300 experts (7% of the total Customs workforce) in Big Data analysis over the next five years. ![]() This year, the Service established its own infrastructure to initiate in-house data analysis. In 2017, the KCS set up a Roadmap for Big Data Analysis, and commenced a six month-long training programme to nurture talents and experts in data analysis. Tools such as Hadoop and R, a language and environment for statistical computing and graphics, have made it possible to create “values” from the huge amounts of data that are received each day. Things changed, however, with the development of modern IT infrastructure as well as Big Data open source analytics solutions to manage and analyse data. However, most Customs administrations were until now not able to leverage such data due to a lack of information technology (IT) infrastructure and knowledge about data analytics techniques. For instance, the Korea Customs Service (KCS) accumulates 45 GB of structured data and 30 GB of unstructured data in its database every day. Customs administrations collate a significant volume of data on a daily basis.
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