Case Study: Anadolu Sigorta achieves 51% better fraud detection with KNIME

A KNIME Case Study

Preview of the Anadolu Sigorta Case Study

How Anadolu Sigorta improved their fraud detection rate by 51% with KNIME

Anadolu Sigorta, a privately owned non-life insurance company in Turkey with about 2,500 agencies, needed a faster and more effective way to detect increasingly complex fraud across thousands of daily claims. The company was struggling with manual investigations, costly third-party tools, and the difficulty of identifying both false claims and organized fraud rings in a timely way.

Using KNIME Analytics Platform, Anadolu Sigorta built its in-house SOBE fraud detection platform, combining data preparation, machine learning, social network analysis, and a rule engine to score claims in real time. With KNIME, the company improved fraud detection by 51%, increased financial gain by 54%, reduced false positives by 31%, and prevented about 146 million Turkish Liras in fraudulent payouts, while cutting organized fraud investigation time from 3–4 months to just 2 hours.


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