Facilitating Trade:
Improving Customs Risk Management Systems
In the OIC Member States
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Figure 37: Feedback mechanism and GUVAS (Customs Data Warehouse)
Source: Turkey Customs Administration
Currently, the RA Department is using data warehouse (based on Oracle Business Intelligence
Discoverer68 ) to analyze data from different data sources. The data mining concept for CRM is
currently in the procurement procedure, and the TCA is expecting it to become operational at
the beginning of 2018. With the integration of data mining, combined with data warehouse, the
risk analysis process will become more efficient. Based on risk identification and analysis, and
based on the traders’ compliance history, the TCA quantifies risk evaluation and prioritization
as high, medium and low risk. The same process is applied for approval of AEO status for traders.
5.1.4.2 Customs Declaration Risk Assessment on pre-arrival
It is important to mention that there is a complete integrated solution for risk assessment on
pre-arrival declarations. When the pre-arrival summary declaration is submitted to customs,
the Risk Assessment system generates five different types of codes which then
determine the next decisions on the following customs procedures and/or inspections.
Figure 38: Risk assessment on pre-arrival summary declaration
Source: Turkey Customs Administration
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