We supported a global insurance company in addressing a significant revenue loss, attributed to fraudulent activities concentrated in specific areas of Central Europe.

Our intervention involved a detailed data analysis, aimed at identifying the most relevant insights to extract from a large dataset. We then implemented and tested advanced machine learning techniques, leveraging decision tree and random forest algorithms.