case study

Anomaly and Fraud Detection

Anomaly and Fraud Detection

Many companies have to deal with the issue of customer fraud and lost money due to false claims and representations. Many of these companies however have large amounts of data on their customers due to the nature of their business. Using this data effectively can allow companies to quickly identify possible cases of fraud without devoting large resources to manually reviewing cases. In one case we worked on, a national European energy provider was having issues with fraudulent customers. These customers were submitting false meter data and thus underpaying for their energy usage.