PayU GPO’s Journey with Snowflake

In today’s data-driven world, managing vast and complex datasets is paramount for any global organization. PayU GPO tackled this challenge by integrating Snowflake’s Data Cloud, leveraging data mesh architecture to transform its approach to data management and governance.

Recently, PayU GPO’s Chief Data Officer, Keren Ben Zvi, along with Piotr Wojda and Marcin Tomalak, shared this transformative journey at the Snowflake World Tour. We presented how data mesh—a decentralized approach that gives teams ownership of their own data—has enabled us to overcome the limitations of traditional, centralized governance.

Imagine a library without rules: books could be lost, altered, or misplaced, diminishing their value and reliability. Similarly, without structured governance, organizational data can quickly become chaotic and untrustworthy. For us at PayU GPO, this challenge became evident as our data needs grew across Africa, Latin America, and Central Eastern Europe. A strong governance framework was essential to ensure data integrity, security, and timely accessibility.

However, traditional centralized systems created bottlenecks, lacked flexibility, and struggled to meet the organization’s scale and speed. Adopting data mesh allowed PayU’s regional teams to own and manage their data independently, ensuring data quality and compliance while maintaining control at a global level.

Snowflake’s advanced architecture seamlessly supports PayU GPO’s data mesh strategy by enabling secure, efficient data sharing across departments and regions. This solution allows localized data management and autonomy, enhancing ownership while minimizing the costs associated with traditional centralized models. With Snowflake’s real-time collaboration capabilities, PayU GPO can drive insights and make data-driven decisions faster.

Through data mesh and Snowflake, PayU GPO turns decentralized data into a unified, strategic asset, essential for agile, reliable decision-making in the evolving fintech landscape.