Global Specialty Insurer Cuts Data Processing Time by 75% and Halves Development Effort With AWS-Native Data Platform

A leading international specialty insurance group, operating across more than 100 classes of insurance in 180 countries, faced a critical inflection point in its data infrastructure. Fragmented ingestion pipelines, legacy ETL tooling, and an inability to scale to cloud-native analytics were slowing the organization's responsiveness to business and regulatory demands. They turned to Coforge.

Business Impact

• All data sources are now consolidated into a unified data lake, giving the organization a single, governed foundation for reporting, analytics, and compliance.  
• Standardized, automated ingestion and transformation pipelines cover 100% of data ingestion workloads, replacing manual, error-prone processes with consistent, auditable flows.  
• New data source onboarding, previously a resource-intensive redesign exercise, is now configuration-driven, cutting development effort by half.  
• Incremental load performance improved by 75% over legacy batch processing, enabling faster operational and regulatory reporting cycles.  
• Role-based access controls, automated tagging, and centralized monitoring have materially strengthened the organization's security and compliance posture.

The platform positions the organization to progressively extend cloud-driven analytics capabilities, with raw and curated datasets now readily accessible for advanced analytics and AI-led initiatives. What was once a fragmented, bottlenecked data estate is now a scalable, governed foundation built for the demands of a global specialty insurer.