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© Generali Deutschland Schadenmanagement GmbH
Fraud Analytics
Berlin, 27th February 2018
Neo4j GraphTour
Thorsten Gomann
© Generali Deutschland Schadenmanagement GmbH
1
Agenda
 Generali Group
 Insurance Fraud
 Fraud Detection
 Solution based on neo4j
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
2
One of the leading
insurers in the world
1 Fortune Global 500
International Generali Group at a glance
one of the world‘s
50 largest
companies1
more than
60 countries
in the world
74,000
employees
Pioneer in
Smart Insurance
Generali Group
530 billion Euro
Assets under
Management
70.5 billion Euro
in premiums (2016)
over 66% from outside
Italy
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
3
Presence of the international Generali Group
Through Generali Employee Benefits, the
Group operates in more than 100 countries
Insurance operations of Generali Group
Branches: New York, United Kingdom, Hong Kong, Tokyo, Dubai, Panama
Other countries in which Europ Assistance operates
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
4
Generali in Germany as part of the worldwide Group
GENERALI IN GERMANY
IS THE SECOND-LARGEST
COUNTRY UNIT
 23% of the premiums of the Generali Group
 € 16.2 bn premiums in insurance business
 € 847 m operating result (FY2016)
 12,400 employees
Branche: United Kingdom
23 %
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
5
Agenda
 Generali Group
 Insurance Fraud
 Fraud Detection
 Solution based on neo4j
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
6
Insurance Fraud
Exploitation
Fictitious Claims
Staged Claims
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
7
Agenda
 Generali Group
 Insurance Fraud
 Fraud Detection
 Solution based on neo4j
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
8
Approaches for Data Driven Fraud Detection
 Rules based on experts
knowledge leading to probability
score
 Create new (temporary)
scenarios
Rulesystem
 Recognition of claims
participants in definedscenarios
 Features derived from network
Social Network Analysis
 File-Metadata
 Manipulation
Data File Forensics
 Textrecognition and
interpretation
• Keywords
• Connections
Semantic Analysis
 Linear Regression
 Logistic Regression
 Decision Tree
 Random Forest
 Gradient Boosting
 Neural Network
 Support Vector Machines
Supervised Learning
 Anomalyrecognition
 Peer-Group Analysis
 Clustering
Unsupervised Learning
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
9
Agenda
 Generali Group
 Insurance Fraud
 Fraud Detection
 Solution based on neo4j
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
Generic Process for Fraud Detection based on Analytics
10
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
Technical Integration
11
Operative Sources
Stage
Analytics View
Graph-Model
Fraud Analytics
Fraud Analytics / 2018-02-27 / Special Claims Department
{RESTful API}
© Generali Deutschland Schadenmanagement GmbH
Administration for automated Scenarios
12
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH
Casetool Frontend
13
Fraud Analytics / 2018-02-27 / Special Claims Department
© Generali Deutschland Schadenmanagement GmbH Fraud Analytics / 2018-02-27 / Special Claims Department
Thorsten Gomann
Data Scientist Fraud / Recovery / Litigation
Generali Deutschland Schadenmanagement GmbH
Gereonswall 68
50670 Köln
phone: 0221/1636-5645
thorsten.gomann@generali.com
14

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Generali - Fraud Analytics

  • 1. © Generali Deutschland Schadenmanagement GmbH Fraud Analytics Berlin, 27th February 2018 Neo4j GraphTour Thorsten Gomann
  • 2. © Generali Deutschland Schadenmanagement GmbH 1 Agenda  Generali Group  Insurance Fraud  Fraud Detection  Solution based on neo4j Fraud Analytics / 2018-02-27 / Special Claims Department
  • 3. © Generali Deutschland Schadenmanagement GmbH 2 One of the leading insurers in the world 1 Fortune Global 500 International Generali Group at a glance one of the world‘s 50 largest companies1 more than 60 countries in the world 74,000 employees Pioneer in Smart Insurance Generali Group 530 billion Euro Assets under Management 70.5 billion Euro in premiums (2016) over 66% from outside Italy Fraud Analytics / 2018-02-27 / Special Claims Department
  • 4. © Generali Deutschland Schadenmanagement GmbH 3 Presence of the international Generali Group Through Generali Employee Benefits, the Group operates in more than 100 countries Insurance operations of Generali Group Branches: New York, United Kingdom, Hong Kong, Tokyo, Dubai, Panama Other countries in which Europ Assistance operates Fraud Analytics / 2018-02-27 / Special Claims Department
  • 5. © Generali Deutschland Schadenmanagement GmbH 4 Generali in Germany as part of the worldwide Group GENERALI IN GERMANY IS THE SECOND-LARGEST COUNTRY UNIT  23% of the premiums of the Generali Group  € 16.2 bn premiums in insurance business  € 847 m operating result (FY2016)  12,400 employees Branche: United Kingdom 23 % Fraud Analytics / 2018-02-27 / Special Claims Department
  • 6. © Generali Deutschland Schadenmanagement GmbH 5 Agenda  Generali Group  Insurance Fraud  Fraud Detection  Solution based on neo4j Fraud Analytics / 2018-02-27 / Special Claims Department
  • 7. © Generali Deutschland Schadenmanagement GmbH 6 Insurance Fraud Exploitation Fictitious Claims Staged Claims Fraud Analytics / 2018-02-27 / Special Claims Department
  • 8. © Generali Deutschland Schadenmanagement GmbH 7 Agenda  Generali Group  Insurance Fraud  Fraud Detection  Solution based on neo4j Fraud Analytics / 2018-02-27 / Special Claims Department
  • 9. © Generali Deutschland Schadenmanagement GmbH 8 Approaches for Data Driven Fraud Detection  Rules based on experts knowledge leading to probability score  Create new (temporary) scenarios Rulesystem  Recognition of claims participants in definedscenarios  Features derived from network Social Network Analysis  File-Metadata  Manipulation Data File Forensics  Textrecognition and interpretation • Keywords • Connections Semantic Analysis  Linear Regression  Logistic Regression  Decision Tree  Random Forest  Gradient Boosting  Neural Network  Support Vector Machines Supervised Learning  Anomalyrecognition  Peer-Group Analysis  Clustering Unsupervised Learning Fraud Analytics / 2018-02-27 / Special Claims Department
  • 10. © Generali Deutschland Schadenmanagement GmbH 9 Agenda  Generali Group  Insurance Fraud  Fraud Detection  Solution based on neo4j Fraud Analytics / 2018-02-27 / Special Claims Department
  • 11. © Generali Deutschland Schadenmanagement GmbH Generic Process for Fraud Detection based on Analytics 10 Fraud Analytics / 2018-02-27 / Special Claims Department
  • 12. © Generali Deutschland Schadenmanagement GmbH Technical Integration 11 Operative Sources Stage Analytics View Graph-Model Fraud Analytics Fraud Analytics / 2018-02-27 / Special Claims Department {RESTful API}
  • 13. © Generali Deutschland Schadenmanagement GmbH Administration for automated Scenarios 12 Fraud Analytics / 2018-02-27 / Special Claims Department
  • 14. © Generali Deutschland Schadenmanagement GmbH Casetool Frontend 13 Fraud Analytics / 2018-02-27 / Special Claims Department
  • 15. © Generali Deutschland Schadenmanagement GmbH Fraud Analytics / 2018-02-27 / Special Claims Department Thorsten Gomann Data Scientist Fraud / Recovery / Litigation Generali Deutschland Schadenmanagement GmbH Gereonswall 68 50670 Köln phone: 0221/1636-5645 thorsten.gomann@generali.com 14

Editor's Notes

  1. Hinweis im Dezember auf AIXAM Datenbestand geprüft Regel erstellt. Erster Treffer in 1. Woche nach Regeleinführung. Unsupervised Learning Fahrertypen -> Höheres Alter mit hochwertigen Fahrzeugen aber geringeres Einkommen => vorsichtige Fahrer === evtl. Kasko Alle Altersklassen billige Fahrzeuge mit geringem Einkommen => hohe Schadenhäufigkeit === wittert Chance mit Rostlaube noch etwas Geld zu machen
  2. Durchstich leichter Aufbau Performance leichte Erweiterbarkeit