Innovative Data Analytics, Data Sources, and Architecture for European Customs Risk Management: D8.8 Policy, Research and Standardization Recommendations

https://cordis.europa.eu/project/id/786748/results<br/>https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5f1716216&amp;appId=PPGMS<br/>

Using Business Data in Customs Risk Management: Data Quality and Data Value Perspective

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...

The role of public funding in the initiation and upscaling of collective innovation trajectories

Our society is facing big challenges and public organizations have a key role in addressing these, as well as providing public funding for innovation. Many innovation projects however result in a proof-of-concept and deliver initial results but experience issues with upscaling further to realize impact. In the EU, innovation networks are...

Identifying the value of data analytics in the context of government supervision: Insights from the customs domain

eCommerce, Brexit, new safety and security concerns are only a few examples of the challenges that government organisations, in particular customs administrations, face today when controlling goods crossing borders. To deal with the enormous volumes of trade customs administrations rely more and more on information technology (IT) and risk...