How Migrating a Legacy Analytics Platform to AWS Improved Data Processing Performance by 85%

Challenge: Legacy analytics platform restricting scalability and flexibility

The client’s existing analytics environment presented multiple operational and architectural constraints on the Domo platform. High platform costs, performance limitations, and vendor lock-in made it difficult to scale reporting, optimize data processing, or adapt the platform to future analytical needs.

They required a modern data foundation capable of supporting structured ingestion, standardized transformations, and analytics-ready datasets. The platform also needed to accommodate increasing data volumes, improve reporting reliability, and establish a foundation for advanced analytics and AI/ML, while maintaining operational continuity and governance.

Solution: A cloud-native data platform built for scalable analytics

Our team delivered a structured migration and platform enablement initiative centered on AWS services, establishing a modern, governed data architecture designed for long-term growth.

• AWS Data Platform Architecture: Designed the target-state architecture using Amazon Redshift for data warehousing and Amazon QuickSight for analytics, creating a scalable foundation for reporting and future AI/ML use cases.
• Layered Data Modeling and ETL Enablement: Implemented a Bronze–Silver–Gold data architecture and developed ETL pipelines to migrate, transform, and prepare data for analytics while maintaining data consistency and quality.
• DevOps, Testing, and Knowledge Transfer: Configured environments, CI/CD pipelines, and infrastructure components, executed testing and validation, and delivered documentation and knowledge-sharing sessions to support operational continuity.

Benefits: Achieved 85% faster data processing and continuous data validation

The initiative delivered meaningful improvements across the client’s data and analytics landscape:

• Lower Cost and Operational Efficiency: Transitioning from a proprietary analytics platform to AWS established a more cost-effective operating model for data storage, processing, and reporting, resulting in 50% lower operational and licensing costs.
• Improved Performance and Reporting Reliability: Centralized data processing and a modern warehouse architecture enabled faster data access and stable reporting while supporting 85% improved data processing performance.

Ready to modernize your data platform?

zeb, an AWS Premier Tier partner, helps organizations to migrate legacy analytics environments, design governed cloud architectures, and build scalable data platforms for long-term analytical growth. Our approach emphasizes structured data models, reliable engineering practices, and future-ready analytics foundations.

Let’s create a unified data environment built for scalability and sustained insight.