Case Studies

Proven Results, Real Impact

Anonymised examples of how we've helped enterprises transform their data capabilities and achieve measurable business outcomes.

Consumer & CPG4-8 weeks

AI-Powered Data Quality for Trusted Reporting

Manual data quality processes causing delayed and unreliable financial reporting across 40+ markets. The global data team spent 60% of their time firefighting DQ issues rather than delivering insights.

40% reduction in data defects
60% faster issue resolution
8 weeks
Tech Lead + 2 AI Engineers
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Snowflakedbt
Pharma & Life Sciences8-12 weeks

Modern Data Platform for Clinical Analytics

Siloed clinical and commercial data across 15+ legacy systems preventing holistic patient insights. Compliance requirements (GxP) added complexity to any modernisation effort.

50% faster time to insight
Single source of truth for 10+ data domains
12 weeks
Data Architect + 3 Engineers + PM
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DatabricksAzure
Energy & Utilities12+ weeks

Asset Performance Analytics Platform

Limited visibility into asset health leading to reactive maintenance and costly unplanned outages. IoT data from 500+ assets was siloed in operational systems.

30% reduction in unplanned downtime
£5M+ annual maintenance savings
16 weeks
Solution Architect + 4 Engineers
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AWSSnowflake
Financial Services12+ weeks

Risk Data Aggregation and Reporting

Manual, error-prone processes for regulatory risk reporting (BCBS 239). Multiple spreadsheets and reconciliation points creating audit risk.

90% reduction in manual effort
Full regulatory compliance achieved
20 weeks
Programme Lead + 6 Engineers
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Snowflakedbt
Hospitality & Travel8-12 weeks

Unified Guest Data Platform

Fragmented guest data across 50+ properties preventing personalisation. Each property used different systems, creating inconsistent guest experiences.

25% increase in direct bookings
15% improvement in guest satisfaction
10 weeks
Data Lead + 2 Engineers
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Snowflakedbt
Retail4-8 weeks

AI-Driven Inventory Optimisation

Overstocking and stockouts costing £10M+ annually. Demand forecasting relied on spreadsheets and intuition.

35% reduction in overstock
50% reduction in stockouts
6 weeks (PoC) + 8 weeks (rollout)
ML Lead + 2 Data Scientists
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DatabricksAzure
Manufacturing8-12 weeks

Predictive Quality Control System

Quality defects discovered late in production causing expensive rework. Manual inspection couldn't scale with increased production volumes.

60% reduction in defect rate
£2M+ annual savings in rework
10 weeks
IoT Lead + 2 ML Engineers
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AWSSnowflake

Showing 7 of 7 case studies

Confidentiality Notice: Client names withheld by policy. References available under NDA. Metrics shown are anonymised and represent client-validated ranges where stated.

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