Case Study: Volt.io achieves self-service analytics and future ML readiness with Xebia's Modern Data Platform

Volt.io builds a modern data platform in 4 months with Xebia

Volt.io, a FinTech company building a global real-time payments network, needed to process large volumes of data from multiple sources to support analytics and future machine learning initiatives. Lacking the necessary in-house data engineering skills, they partnered with vendor Xebia to build a secure, scalable, and self-service Modern Data Platform that could also meet strict regulatory requirements.

Xebia designed and implemented a cloud-based platform on AWS and Snowflake, utilizing tools like Airbyte, dbt, and Looker. The solution was delivered in just four months, enabling self-service BI and ad-hoc analytics for Volt.io. The scalable and automated architecture established a strong foundation for future machine learning use cases while ensuring security and reduced maintenance overhead.

Volt.io