Historically, a customs officer’s “intuition” backed up by his/her knowledge and experience served as the means for effective risk management. In the old days (20 years ago and back) there wasn’t any need for all this ‘Big Data’ mumbo jumbo as the customs officer learnt his/her skill through painful, but real-life experience, often under bad and inhospitable conditions.
Today we are a lot more softer. The age of technology has superseded, rightly or wrongly, the human brain. Nonetheless, governments thrive on their big-spend technology budgets to ensure the safety of their economies and supply chains.
No less, the big multinational corporations whose ‘in-house’ business is no longer confined by national boundaries or continents are responsible for the generation of huge amounts of data which need to extend to the limits of their operations. When the products of such business are required to traverse national boundaries and continents, their logistics and transport intermediaries, financiers, and insurers become themselves tied up in the vicious cycle of data generation and transfer, also spanning national boundaries to ensure those products arrive at their intended destinations – intact, in time and fit for purpose. Hence we have what as become known as the international supply chain.
It does not end there. Besides the Customs authorities, what about the myriad of other government regulatory authorities who themselves have a plethora of forms and information requirements which must be administered and approved prior to departure and upon arrival of goods at their destination.
Inefficiencies along the supply chain culminate in delays with added cost which dictates the viability for sale and use of the product during delivery. These may constitute what is called non-tariff barriers (or NTBs) which negatively impact the suppliers credibility in international trade.
The bulk of this information is nowadays digitised in some for or other. It is obviously not all standardised and structured which makes it difficult to align, compare or assimilate. For Customs it poses a significant opportunity to tap into and utilise for verification or risk management purposes.
The term ‘Big Data’ embraces a broad category of data or datasets that, in order to be fully exploited, require advanced technologies to be used in parallel. Many big data applications have the potential to optimize organizations’ performance, (and here we have it) the optimal allocation of human or financial resources in a manner that maximizes outputs.
At this point, let me introduce one of the latest WCO research papers – “Implications of Big Data for Customs – How It Can Support Risk Management Capabilities” by Yotaro Okazaki.
The purpose of this paper is to discuss the implications of the aforementioned 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). Source: WCO
A new regulation adopted by the European Parliament and the Council will allow customs to access information to track the origins and routes of cargo containers arriving in the EU to support the fight against customs fraud both at EU and national level. The Joint Research Centre (JRC) has been instrumental in the conception and adoption of this legislation as it provided the scientific evidence on the importance of analysing the electronic records on cargo container traffic.
The EU customs authorities have been long aware that information on the logistics and actual routes of cargo containers arriving in Europe is valuable for the fight against customs fraud. However, they had very limited ways to obtain such information and no means to systematically analyse cargo container traffic both for fraud investigations as well as for risk analysis. On the other hand, the ocean carriers that transport the cargo containers, as well as their partners and clients, have easy on-line access to the so-called Container Status Messages (CSM): electronic records which describe the logistics and the routes followed by cargo containers.
In collaboration with the European Anti-Fraud Office (OLAF), the JRC has worked extensively on how to exploit CSM data for customs anti-fraud purposes. The JRC proposed techniques, developed the necessary technology, and ran long-term experiments involving hundreds of EU customs officers to validate the usefulness of using CSM data. The results of this research led the Commission to bring forward a legislative proposal that would enable Member States and OLAF to systematically use CSM data for these anti-fraud purposes. It also served to convince Member States of the value of the proposed provisions.
The financial gains from the avoidance of duties, taxes, rates and quantitative limits constitute an incentive to commit fraud and allow the capacity to properly investigate in cases, such as mis-declaration of the origin of imported goods. The information extracted from the CSM data can facilitate the investigation of some types of false origin-declarations. With the new legislation an importer will no longer be able to declare – without raising suspicions – country X as dispatch/origin of goods if these were transported in a cargo container that started in country Z (as indicated by the CSM data).
The technologies, know-how and experience in handling CSM data, developed by the JRC through its experimental ConTraffic platform, will be used by OLAF to set up the system needed to implement this new legislation applicable as from 1 September 2016. The JRC will continue to analyse large datasets of CSM records (hundreds of millions per year) as these are expected to be made available through the new legislation and will continue to support not only this new regulation but to exploit the further uses of this data notably for security and safety and real-time operations. Its focus will be on data mining, new automated analysis techniques and domain-specific visual analytics methods. Source and Images: EU Commission
Australia is to boost its intelligence sharing with the US customs and border protection service.
The immigration minister, Scott Morrison, said the Australian and US customs and border protection agencies had agreed to a formal strategic partnership from 2014, which would see two Australian officers posted to the US to strengthen intelligence co-operation.
Morrison said a trial of the closer engagement over the past year led to a crackdown on organised crime and resulted in several major drug seizures.
“These results demonstrate that governments must work together to effectively combat transnational crime and terrorism,” he said in a statement on Thursday.
The move to strengthen intelligence sharing with the US comes after a former US National Security Agency (NSA) contractor Edward Snowden leaked thousands of secret documents, including details of how Australian spies targeted the phone of the Indonesian president, Susilo Bambang Yudhoyono. Source: theguardian.com