"Building Data Management System for Advanced Analytics in Customs"
This research examines the development of a modern Data Management System to prepare Customs administrations for the future adoption and implementation of Artificial Intelligence (AI) and advanced analytics. It focuses on data integration, management architecture, data governance, and information security, identifying the essential technological and institutional foundations required for successful AI implementation. The study provides strategic recommendations to strengthen data-driven capabilities, improve risk management, enhance fraud detection, and support more efficient and informed decision-making in Customs operations.
Authors
- Victoria Kupreishvili
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-04
- DOI
- https://doi.org/10.5281/zenodo.23941242
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00