Real Results, Measurable Impact
See how Extrodata has helped organisations transform their data and AI capabilities.
Tier 1 Bank — Regulatory Reporting Automation
A leading UK bank needed to modernise its regulatory reporting pipeline, which relied on manual Excel processes across 12 business units.
The Challenge
Regulatory returns were compiled manually from disparate source systems, creating operational risk and leaving no capacity for analysis. The bank needed a reliable, auditable pipeline that could scale with increasing regulatory demands.
Our Approach
We designed and deployed an automated data pipeline using dbt and Snowflake, with built-in quality checks and lineage tracking. Extrodata embedded senior engineers alongside the bank's existing team for knowledge transfer.
The Outcome
Reporting cycles shortened from weeks to days. The team now uses freed capacity for predictive analysis rather than data wrangling — and the solution has been extended to cover additional regulatory frameworks.
More Case Studies
NHS Trust — Patient Flow Prediction
Deployed a machine learning model that predicts patient admission rates 72 hours in advance, enabling proactive staffing and bed management across three hospital sites.
Global Retailer — Unified Customer Data Platform
Consolidated customer data from 8 systems into a single Databricks lakehouse, powering real-time personalisation across web, mobile, and in-store channels.
Automotive Supplier — Predictive Maintenance
Implemented IoT sensor data pipelines and anomaly detection models across 200+ production machines, reducing unplanned downtime and improving quality yields.