BODS red flags analysis
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Publication type
Tools
Publication
Topics
Beneficial Ownership Data Standard,
BODS showcase
Sections
Technology
Summary
Demonstrating how high-quality Beneficial Ownership Data Standard (BODS) data can support anti-money laundering (AML) investigations by highlighting risk factors which data users want to spot.
Aims of project
- Research the main questions that AML investigators want to answer, using just beneficial ownership (BO) data.
- See if Open Ownership (OO) could answer a list of questions – eventually reduced down to the following list – using BODS data:
- How many entities declare that they have no beneficial owners or that their beneficial owners are unknown?
- How many entities have ownership networks which involve natural persons or entities in countries on the European Union list of non-cooperative tax jurisdictions?
- How many entities have complex ownership chains (defined here as five-plus observable layers of ownership)?
- How many entities were founded and subsequently dissolved within a year?
- Demonstrate how to answer these questions by setting up a public data notebook.
- Do future work to explain how to answer these questions differently for Denmark, Slovakia, and the United Kingdom – and why this makes the case for further BO data standardisation.
- Build on past work creating notebooks/dashboards to test BODS data quality to show how BODS data can be used for a wide range of purposes (see Latvia test notebook).
Delivered in partnership with
Open Data Services
