Executive Summary
A leading supply chain and logistics provider sought to modernize its data infrastructure by migrating from Teradata to Snowflake on AWS. The goal was to decommission over 35 legacy applications, eliminate costly licensing fees, and leverage the scalability and efficiency of cloud computing.
A structured migration framework was designed using the Rivery platform to automate data ingestion, transformation, and orchestration. This approach ensured a seamless transition to Snowflake while optimizing cost and performance, reducing manual efforts, and improving data accessibility.
About the Client
The client is one of the largest global supply chain and logistics companies, managing complex operations across multiple geographies. With a vast network and reliance on real-time data insights, the organization continuously innovates to enhance efficiency and customer satisfaction.
Business Challenge
The client relied on an on-prem data ecosystem built on Teradata and Informatica, leading to high operational costs, slow data processing, and scalability challenges. As data volumes surged, the system struggled to keep pace, limiting business agility and increasing inefficiencies. To modernize their data infrastructure, the client aimed to migrate to Snowflake on AWS, leveraging Fivetran pipelines, which were later transitioned to Rivery for enhanced cloud-native data integration and automation.
Our Solution
The team of experts at Factspan developed a structured migration plan to ensure a smooth transition while maintaining business continuity.
Automated Data Migration: Rivery’s pre-built connectors were used to extract and load data from Teradata to Snowflake, ensuring minimal disruption. Schema conversions and transformations were automated to maintain data integrity.
Optimized Data Processing: A scalable ingestion framework was established, leveraging Rivery’s orchestration capabilities to automate ETL/ELT workflows. This improved processing speeds and ensured consistency.
Cost Efficiency & Scalability: By decommissioning over 35 legacy applications, the company reduced licensing fees and infrastructure costs. Snowflake’s auto-scaling capabilities ensured efficient resource allocation, enabling the business to scale effortlessly.
By leveraging Rivery’s intelligent data automation tools, the transition was executed seamlessly, allowing the client to unlock cost savings, enhanced performance, and future-ready scalability.
Business Impact:
- 35+ legacy applications retired, reducing costs
- 40% faster data processing, enabling quicker insights
- Lower operational expenses, eliminating outdated infrastructure
- Scalable architecture, supporting future growth
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