Cloud data modernization reduces TCO by 12% for a leading tire manufacturer

Sigmoid enabled real-time marketing reporting for a major consumer tire manufacturer by modernizing their data architecture.

Business Scenario

The client, a leading consumer tire company, sought to strengthen its data foundation for improved e-commerce marketing by integrating external data sources seamlessly and enhancing accessibility for business teams. They needed user-friendly visualizations for better data flow visibility to support informed marketing decisions. The existing system, relying on batch processing for vendor data, caused delays in performance optimization, slowed vendor onboarding, and led to inefficiencies in supply chain coordination. All of these contributed to higher operational costs and limited insight into data lineage.

Sigmoid Solution

Sigmoid executed a comprehensive migration strategy to transition the company’s data architecture from Azure to AWS and Snowflake. The project involved designing a new architecture to execute data pipelines in a highly available and scalable cluster using AWS, EKS, Airflow, Snowflake, and DBT. The new architecture significantly improved performance while seamlessly integrating with the company’s existing APIs and systems, delivering a scalable and efficient solution. Read more