prevention of money-laundering and fiscal fraud: the bracco project david mitzman, infocamere, it...
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Prevention of money-laundering and fiscal fraud: the BRACCO project
David Mitzman, InfoCamere, ITECRF 2010 - Budapest, Hungary
14 June, 2010
JLS/2007/ISEC/43130-CE-0220887/00-41
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contents
• the BRACCO project
• the BRACCO software system: what it does and how
• the next steps
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Intro to BRACCO
BRACCO is a 2-year project, from December 2008 to December 2010
It is co-financed by the EC Directorate General Justice, Liberty and Security
Partners: InfoCamere and Metaware (left the project in April)
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Objectives of the project
The project contributes to the fight against fiscal crime by developing a search & investigation system to collect, aggregate, process, analyse and visualise information extracted from different public sources.
Such investigation is normally highly labour- and knowledge-intensive, requiring making sense out of a deluge of data.
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Why should BRs get involved?
AML is not (necessarily*) a Business Register service, but it is an important area of collaboration between administrations.
* - some Registers are interested in monitoring their territories and all are interested in supporting thorough due diligence procedures.
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the service context or market
The data sources include public registers such as the Business Register, the Insolvency and defaulters databases, yearly accounts statements, as well as newspaper articles.
Customer databases can also be integrated to provide additional relations for custom-tailored applications (Fiscal Police, Tax Authority, Stock Exchange Authority, Local Business Regulation Agencies)
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the service context or market
A first (simple) product of this type is being used by the Fiscal Police and was introduced in 2009 to all the Italian Chambers of Commerce (BRs).
In 2010 it will be released as part of the standard Business Register access system.
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A first (simple) product of this type is being used by the Fiscal Police and was introduced in 2009 into the Chamber of Commerce system.
In 2010 it will be released as part of the standard Business Register access system.
the DeVisu navigator
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Techniques in fiscal crime detection and prevention
• Integrate and aggregate different data sources• NLP for analysis of free-text information such as newspaper articles• Data Visualisation – “social networks”• Data Analytics - analyse networks for special features, to detect patterns or series of events• Notify relevant authorities of events
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Relationships
Relations between companies and/or people:
ownership, company roles, personal and professional relations or family ties, events such as transfer of shares, mergers, involvement in fiscal crimes and the related investigations
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BRACCO software tools• analysis of free-text• data normalisation based on a model of the domain (rules and taxonomies governing the relationships - ontology) and based on a unique identification of subjects • an inference engine to further analyse the relations and draw conclusions (further relations) • graph analysis (“social network analysis”) and statistics on groups or clusters of companies • visual navigation of relations
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three main layers of components
presentation layer
processing & storage
data sources
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central knowledge
data analysis
BRACCO Ontology
data access
presentation layer
data sources
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abstract and concrete knowledge
description of
real world
real-world facts and
occurrences
data analysis
data access
presentation layer
data sources
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structured and non-structured data
Taxonomies & rules
Relations graph
data analysis
DB adapters
presentation layer
Business
Register
Online Newspa
pers
Natural Language ProcessingPrivate-
client DBs
WWW spide
rs
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analysing and enriching the knowledge
Taxonomies & rules
Relations graph
DB adapters
presentation layer
Business
Register
Online Newspape
rs
Natural Language ProcessingPrivate-
client DBs
WWW spiders
graph statistic
s warehou
se
inference engine
statistical
analysisgraph
analysis
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outputs: navigation and reports
Taxonomies & rules
Relations graph (DB)
DB connectors
BRACCO Navigators(DeVisu, Redada, Soci-N)
Business Register
Online Newspape
rs
Natural Language Processing
Other PA DBs WWW
graph statistics warehous
e
inference engine
statistical analysis
graph analysis
Reports, dossier
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REDADA navigator
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investigating a person
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inspecting relations and events
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expanded node – F. Corona
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inspecting a “sentimental relation”
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Overview of crimes
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Crimes tree
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focus on location of activities
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“Hotspots”
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focus on recent activity
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focus on recent activity
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Business navigator
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investigating InfoCamere
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identifying InfoCamere group
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What about Silvio Berlusconi?
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... and his group?
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finding hidden relationships
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GOTCHA!!
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Berlusconi “tree” [not the entire “web” of relations]
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Indirect control – Spadaccini group
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Group Dossier– Aerofotogrammetrica Nazionale
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The next steps
Further development of the data analysis techniques and statistics on groups
Application to nearby domains (Naples project on Public Tenders)
Validation with international shareholders data (Infogreffe); presentations and experiments (data exchange) with other BR’s
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future steps
data reliability measures
unique identification of subjects
new, customer-supplied relations
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