Case Study: MRH Trowe saves 4,000 hours and EUR135,416 a year by automating insurance data with Matillion
Key results
The challenge
MRH Trowe, a German insurance broker, handled large volumes of insurance documents through manual, time-consuming processing. The team needed a unified data model across insurance divisions and higher data quality without the manual labor.
The solution
MRH Trowe built no-code data automation on the Matillion Data Productivity Cloud, combined with Snowflake's Document AI, to extract and process document data and apply quality gates. This established a single, unified data model across insurance divisions.
“With this solution, we're pioneering a unified data model for all insurance divisions, enhancing data quality through effective quality gates.”
MPMalte PolleyTeam Leader, Data Analytics and AI, MRH Trowe
The results, in context
MRH Trowe reported saving 4,000 hours of labor and EUR135,416 in labor costs annually. Per-document processing time dropped from minutes to seconds, while data quality improved through automated quality gates.