Case Studies – Arghay Consulting

Global Bank Cuts Data Warehouse Costs by 68%

Challenge: A tier-1 bank's legacy on-prem warehouse was buckling under 40TB of daily transaction data, with 16-hour overnight batch jobs delaying morning risk reports.

Solution: We designed and executed a full migration to Snowflake on AWS, implementing multi-cluster warehouses, dynamic data masking for PII compliance, and real-time CDC pipelines using Snowpipe.

68% Cost reduction

45 min Batch runtime (was 16h)

99.99% Query uptime

Retailer Lifts Revenue 23% with AI-Powered Personalisation

Challenge: A mid-market fashion retailer had rich customer purchase data but no ML capability internally, relying on rule-based email segmentation with single-digit open rates.

Solution: We built a real-time recommendation engine using Snowflake ML and Cortex, integrating product embeddings with behavioural signals to power personalised emails, homepage carousels, and push notifications.

+23% Revenue uplift

3.4× Email click-through rate

8 weeks Time to production

Hospital Network Unifies Data Across 12 Sites in 10 Weeks

Challenge: A regional hospital network operated 12 sites on separate EMR systems, making cross-site reporting impossible and delaying clinical decision-making by days.

Solution: We architected a Snowflake-based clinical data lake with FHIR-compliant data models, automated nightly ETL from all 12 EMR systems, and a live Power BI dashboard for clinical operations leadership.

12 sites Unified in single platform

< 4h Report latency (was 3 days)

100% HIPAA / IG compliance

Manufacturer Reduces Downtime 41% with Predictive Maintenance AI

Challenge: An industrial manufacturer was losing $2M+ annually to unplanned equipment downtime. Sensor data from 800+ machines was collected but never analysed.

Solution: We ingested streaming IoT data into Snowflake via Kafka, built anomaly-detection ML models using Snowflake Cortex, and created an operator alert system with 72-hour failure prediction windows.

41% Downtime reduction

$1.8M Annual savings

72h Failure prediction window

Real Results for Real Businesses

Global Bank Cuts Data Warehouse Costs by 68%

Retailer Lifts Revenue 23% with AI-Powered Personalisation

Hospital Network Unifies Data Across 12 Sites in 10 Weeks

Manufacturer Reduces Downtime 41% with Predictive Maintenance AI

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