Case Studies

Real outcomes from enterprise data transformations. See how we've helped organizations modernize platforms, enable analytics, and deliver measurable business value.

Financial Services18 months

Enterprise Analytics Modernization

Transformed legacy reporting infrastructure into a modern, self-service analytics platform for a Fortune 500 financial services firm.

Challenge

Fragmented reporting across 15+ legacy systems with inconsistent data definitions and 72-hour reporting latency.

Solution

Implemented a cloud-native data lakehouse with unified semantic layer and self-service BI capabilities.

Results

  • Reporting latency reduced from 72 hours to near real-time
  • 500+ self-service reports created by business users
  • 40% reduction in IT reporting backlog
  • $2.5M annual cost savings from infrastructure consolidation
Investment Management24 months

Global FinServ Data Platform

Built a unified global data platform supporting investment analytics, risk management, and regulatory reporting across 12 countries.

Challenge

Siloed regional data systems preventing consolidated global views and creating compliance risk.

Solution

Designed and implemented a multi-region data mesh architecture with centralized governance and local autonomy.

Results

  • Single source of truth across 12 regional operations
  • Regulatory reporting time reduced by 60%
  • Enabled new product analytics previously impossible
  • Platform supports $500B+ AUM analytics workloads
Healthcare12 months

Healthcare Population Health Analytics

Developed a population health management platform integrating clinical, claims, and social determinants data for a regional health system.

Challenge

Inability to identify at-risk patients and coordinate care across fragmented provider network.

Solution

Built integrated patient data platform with predictive risk scoring and care coordination workflows.

Results

  • 30% improvement in high-risk patient identification
  • 15% reduction in preventable readmissions
  • Care gap closure rate improved by 25%
  • Enabled value-based contract participation
Utilities15 months

Energy Grid Analytics Platform

Created a real-time grid analytics platform processing IoT sensor data from 2M+ smart meters for demand forecasting and outage prediction.

Challenge

Legacy batch-processing systems unable to handle real-time data volumes from smart grid deployment.

Solution

Implemented streaming analytics architecture with ML-powered demand forecasting and predictive maintenance.

Results

  • Processing 10M+ events per second in real-time
  • Demand forecast accuracy improved by 35%
  • Outage detection time reduced from hours to minutes
  • Enabled dynamic pricing and demand response programs

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