Data Analytics Boosts Customs Risk Management and Efficiency
This paper explores the importance and implementation path of customs data analysis capacity building. It proposes key elements for constructing a customs data analysis capacity building framework, including organizational structure, technology platform, talent development, and data governance. The research provides a reference for customs in data-driven risk management and performance improvement. The framework emphasizes the need for a holistic approach to enhance data literacy and analytical skills within customs organizations, enabling them to effectively leverage data for informed decision-making and improved operational efficiency.
