Case Studies
Real outcomes from real engagements. Every number is verified and documented by our clients.
Financial Services
Reduction in data processing costs
A major European financial services firm was spending €1.8M annually on Oracle licensing and infrastructure for their analytics workloads. Query performance was degrading as data volumes grew, and their data engineering team spent 60% of their time on maintenance rather than new development.
We migrated their entire analytics platform to Databricks on Azure in 14 weeks — including 3.2TB of historical data, 47 ETL pipelines, and 12 executive dashboards. The new platform processes data 4x faster, enabled real-time fraud detection capabilities, and reduced annual costs by €1.2M.
Logistics & Supply Chain
Improvement in forecast accuracy
A pan-European logistics company was losing €15M annually to inventory waste caused by inaccurate demand forecasting. Their Excel-based forecasting process couldn’t handle the complexity of 6 markets, seasonal variations, and supplier lead times.
We built an ML-powered demand forecasting platform on Databricks that ingests sales data, weather patterns, economic indicators, and promotional calendars. The model refreshes every 15 minutes and achieves 92% accuracy — preventing €3.8M in inventory waste in the first year alone.
Healthcare
Faster clinical data queries
A healthcare network with 14 clinics was struggling with fragmented patient data across multiple legacy systems. Clinical researchers waited days for data queries, and GDPR compliance was a constant manual overhead.
We built a unified patient data platform on Azure Databricks with built-in GDPR compliance, role-based access control, and automated data quality pipelines. The platform consolidated 3.2M patient records from 7 source systems into a single governed lakehouse.
Every engagement starts with a free 30-minute assessment. We’ll review your data challenges and outline what’s possible.
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