CASE STUDY    •    Leading global logistics and supply chain provider

Global Logistics Leader Achieves 50% Cost Reduction Through Cloud Data Migration

 

Industry

Logistics

Our Contributions

Modernization & Migration, Cloud-native Platform Engineering, Data Governance & Quality Management

Global Logistics Leader Achieves 50% Cost Reduction Through Cloud Data Migration

Client Challenge

A global logistics leader sought to modernize their data infrastructure supporting 50TB of data across 1,400 tables and 1,000 ETL jobs. The organization needed to migrate from Teradata to Snowflake to reduce $1.5M in annual infrastructure and licensing costs. Key objectives included improving data accessibility and reporting performance while enabling real-time analytics for future AI/ML initiatives. The critical requirement was ensuring minimal disruption to ongoing operations throughout the migration process.

How We Did It

We delivered a phased migration strategy using Encora's proprietary frameworks, achieving early wins before comprehensive modernization.

Lift-and-shift for early wins

Migrated core datasets using a lift-and-shift approach to demonstrate immediate value, followed by targeted workload modernization.

Automated migration frameworks

Deployed Encora Migrate and DataGaps frameworks to automate code conversion, data validation, and testing across 1,400 tables and 1,000 ETL jobs.

Multi-cloud integration

Integrated Snowflake seamlessly with the existing multi-cloud environment including Azure, Oracle Cloud, and Google Cloud platforms.

Unified data ecosystem

Included ETL and reporting platforms in the migration scope, creating a consolidated modern architecture for global operations.

The Results

The phased migration delivered substantial cost savings and performance gains while building stakeholder confidence for future innovation initiatives.

50%

reduction in annual infrastructure and licensing costs, from $1.5M to $750K yearly

40%

faster ETL job execution, reducing average processing time from 2.5 hours to 1.5 hours

40%

improvement in reporting latency, cutting query times from 20 minutes to 12 minutes

30%

reduction in total cost of ownership, generating $450K-$500K in additional annual savings

 

  • Improved data reconciliation accuracy from 92% to 99.5%, reducing manual rework by 80%

  • Freed 400 engineer-hours monthly, reallocating resources from maintenance to innovation and analytics

  • Reduced new data source onboarding time by 50%, from 4-6 weeks to 2-3 weeks

  • Positioned the organization for future-ready data operations including AI/ML and predictive analytics

 

The Bottom Line

The migration delivered immediate value through substantial cost reductions and performance improvements across global operations. Transparent planning and seamless execution built stakeholder confidence while maintaining complete business continuity. The Snowflake platform provided the scalability needed for growing data volumes and emerging technologies. With freed engineering capacity and a modern architecture, the organization accelerated its digital transformation roadmap. The success demonstrated how strategic modernization simultaneously reduces costs, improves performance, and enables innovation.