University of Twente Student Theses
A Data Quality Assessment of the Suspicious Transactions
Hessels, Ruben (2023) A Data Quality Assessment of the Suspicious Transactions.
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| Abstract: | In recent years, an explosive surge in suspicious transactions has been observed, overwhelming several instances such as the police. In particular, the Regionaal Informatieknooppunt Financieel Economische Criminaliteit (RIK FinEC)-ondermijning, a department within the police that analyzes these transactions on a monthly basis, experiences substantial challenges. There is a high demand for new insights about the suspicious transactions to not only uncover data limitations, but also potential improvements in the current approach. This research addresses this issue by conducting a comprehensive data quality assessment of the suspicious transactions dataset. Besides enlightning data quality findings, two novel data quality measures are proposed and implemented as an improvement to the current analytical strategy. On top of that, the research outlines concrete recommendations to both the Financial Intelligence Unit (FIU) and the Dutch police. |
| Item Type: | Essay (Master) |
| Clients: | Politie Midden-Nederland, Utrecht, The Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science MSc (60300) |
| Link to this item: | https://purl.utwente.nl/essays/97594 |
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