Title
Using Business Data in Customs Risk Management: Data Quality and Data Value Perspective
Author
Hofman, W.J.
Migeotte, J.
Labare, M.
Rukanova, B.
Tan, Y.H.
Publication year
2021
Abstract
With the rise of data analytics use in government, government organizations are starting to explore the possibilities of using business data to create further public value. This process, however, is far from straightforward: key questions that governments need to address relate to the quality of this external data and the value it brings. In the domain of global trade, customs administrations are responsible on the one hand to control trade for safety and security and duty collection and on the other hand they need to facilitate trade and not hinder economic activities. With the increased trade volumes, also due to growth in eCommerce, customs administrations have turned their attention to the use of data analytics to support their risk management processes. Beyond the internal customs data sources, customs is starting to explore the value of business data provided by business infrastructures and platforms. While these external data sources seem to hold valuable information for customs, data quality of the external data sources, as well as the value they bring to customs need to be well understood. Building on a case study conducted in the context of the PROFILE research project, this contribution reports the findings on data quality and data linking of ENS customs data with external data (BigDataMari) and other customs (import declaration) data and we discuss specific lessons learned and recommendations for practice. In addition, we also develop a data quality and data value evaluation framework applied to customs as high-level framework to help data users to evaluate potential value of external data sources. From a theoretical perspective this paper further extends earlier research on value of data analytics for government supervision, by zooming on data quality
Subject
Customs
Data analytics
Data quality
Government supervision
Risk analysis
Value
Cerium compounds
Commerce
Data reduction
e-government
Risk management
Business infrastructure
Economic activities
External data sources
Government organizations
Potential values
Public values
Risk management process
Safety and securities
Quality control
To reference this document use:
http://resolver.tudelft.nl/uuid:c843ffe3-d507-46ab-a52e-88a12b344e34
TNO identifier
968153
Publisher
Springer Science and Business Media Deutschland GmbH
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 20th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2021, held in conjunction with the IFIP WG 8.5 International Conference on Electronic Participation, ePart 2021 and the International Conference for E-Democracy and Open Government Conference, CeDEM 2021, 7 September 2021 through 9 September 2021, 271-287
Document type
conference paper