The platform performs OCR on incoming slips to ingest data, extract data, enables corrections and amendments with approval workflows that are configurable for admins, underwriters and senior underwriter functions. Through Snowflake it has improved data reporting enabled to visualise risks subject to incoming data and shares data from incoming weather data as an example for certain perils. The Insurance platform currently is built on Snowflake with Python and Nginx and has reinforced machine learning on data ingestion around OCR and the slip processing.

Fraud risk is constantly changing meaning that search against all of our data both Structured and Unstructured Data is vital to be empowered to identify the patterns. Share data extracts through the Snowflake Data Exchange easily & securely for customisable information, data interrogation and joining with internal & 3rd party platforms. This enables the easy creation of rules engines, watch lists, benchmark run results, fraud analytics & profiling