23
Systems consolidated
2M+
Daily events processed
180
Stores with real-time data
60%
Faster reporting
The Challenge
A major retailer had data spread across dozens of siloed systems with no unified view of customer behaviour, inventory, or sales performance. Decision-making was slow and based on incomplete information. They needed a modern data platform to support analytics and future AI initiatives.
Our Approach
We developed a comprehensive data strategy and designed a modern lakehouse architecture on Snowflake. Our team built the core data pipelines, established data governance processes, and delivered a suite of analytics dashboards. We also created an AI readiness roadmap for phase two.
The Results
Delivered a unified data platform consolidating 23 source systems. Business users gained self-service analytics capability for the first time. The platform now processes 2M+ events daily and supports real-time inventory visibility across 180 stores.
More Case Studies
National Insurance Provider
A major insurance provider was running critical underwriting systems on ageing on-premise infrastructure. Performance was degrading, costs were escalating, and the platform couldn't support their digital ambitions. Previous migration attempts had stalled due to complexity and risk concerns.
47
Services migrated
35%
Cost reduction
Series B HealthTech
A fast-growing healthtech startup had secured Series B funding and needed to rebuild their MVP into a scalable platform. Their small internal team lacked the capacity for the ambitious 6-month roadmap, and hiring permanent staff fast enough wasn't realistic.
6
Month delivery
3x
Team growth enabled
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