ML for anomaly detection in insurance assets granular reporting

ML for anomaly detection in insurance assets granular reporting

Solution

ML for anomaly detection in insurance assets granular reporting

Machine learning approach in a statistical matching framework is being used to solve - in an accurate and efficient automated way - a Data Quality Management (DQM) issue on insurance granular assets data, specifically to check for anomalies in identification codes (ID) reporting. Since 2016, insurance corporations report granular asset data in Solvency II templates on a quarterly basis.

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