Modernising fraud detection with a real-time data platform
A Tier-1 UK retail bank
from 24h to <10s
Detection latency
-27%
False positive rate
-19%
Infrastructure cost
The Problem
The bank's fraud detection ran on overnight batch jobs against a legacy on-premise warehouse, meaning fraudulent transactions were often flagged a full day after they occurred.
The Solution
We designed and built a streaming data platform on Azure using event-driven ingestion and a Databricks lakehouse, replacing the nightly batch process with real-time transaction scoring.
The Outcome
Fraud signals now reach investigation teams within seconds of a transaction, with the platform scaled to handle national peak-hour transaction volume without added infrastructure cost.
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