Fraud Detection For A Major Insurance Company

Project Details

A major Insurance company based in London wanted to improve their internal processes in order to better predict and catch any potential fraud.

Cloud Solutions


The Challenge

The insurer was using Big-Data and had already an algorithm trained over 10+ years of data. The challenge was therefore to fully understand their existing algorithm and whole their whole ETL process was structured.

How London Data Consulting Helped

The London Data Consulting have improved both their database structure and ETL process so quicker, more optimal and comprehensive calculations could be performed.

The use of Kafka and Spark MLLib allowed us to perform quicker and more optimal predictions.

We then improved the existing algorithm with the use of deep learning and convolutional neural networks (CNN). We eventually improved the prediction accuracy by 30%.

Some of the Data Tools We Used

Amazon AWS
Spark MLlib
Amazon DynamoDB