Case Study: Monzo achieves scalable, self‑serve analytics and 50% fewer in‑app support requests with Google Cloud Platform (BigQuery)

Monzo Creating analytics that count with Google BigQuery

Monzo, a UK challenger bank founded in 2015 with hundreds of thousands of customers, needed a single, reliable analytics platform to bring together messages, logs and events from 600+ microservices (its transactional data runs on Cassandra). The dispersed architecture made BI snapshots and fast, granular decision-making difficult, so the data team sought a simple, scalable single source of truth accessible to non-technical staff.

Monzo routed enriched events into Google BigQuery (with Looker for visualization), eliminating intermediate storage and enabling on-the-fly analysis. The setup requires virtually no maintenance, supports rapid growth, and delivered measurable impact: 85% of BI queries are now self‑served, in‑app support requests fell 50% in 10 months, and the data warehouse has scaled to hundreds of billions of rows while powering pricing and fraud decisions.

Monzo

Dimitri Masin

Head of Data