Detecting organised fraud via social network analysis

This webinar looks at the journey that Turkish insurer Anadolu Sigorta has taken to develop a social network analysis platform to identify organised fraud cases with machine learning capabilities and datasets integration. The project was recently announced as a winner of a 2021 Celent Model Insurer award, recognising Anadolu Sigorta’s effective use of technology in the Data, Analytics and AI category.

The platform digitises all steps in the claims process, helping claims analysts to discover previously unidentified or unknown patterns and identifying suspicious individuals and claims in the insurance industry through the application of graph theory. Organised fraud detection via a SNA platform has also been integrated to Anadolu Sigorta’s in-house central fraud platform, enabling claims staff to handle fraud processes with an end-to-end perspective.

The digital mutual: Episode 12, Anadolu Sigorta (Turkey)


  • Vedat Güneş, Lead Data Architect
  • Emin Ayık, Head of Claims Management

In this series of bi-monthly webinars, various ICMIF members from around the world will showcase their digital strategy and journey in the pursuit of digital transformation. In these case studies, learn how leading mutual/cooperative insurers are harnessing the power of technologies to digitise their business and integrate digitalisation and innovation into their overall strategy, whilst maintaining their unique value proposition and member-driven focus. Hear examples of new technological capabilities, digital innovations and strategic partnerships in the digital ecosystem as they look to transform their business models and organisational culture to adapt for the increasingly digitalised world.

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