Case Study: PicPay achieves $10M in cash-back savings and 50% lower analytics costs with Databricks Lakehouse

Transforming mobile payments into a finance super-app

PicPay, a Brazilian fintech aiming to become the country’s first super‑app, serves over 60 million customers and processed more than 31 million transactions last year. Rapid growth exposed a fragmented data stack, slow and unreliable pipelines, poor data quality, and limited real‑time insights—issues that blocked collaboration and slowed product and ML innovation across payments, marketplace and other new services.

By adopting the Databricks Lakehouse, PicPay unified its data into a single, accessible layer, enabling self‑service analytics (50+ Tableau dashboards), faster ML-driven customer segmentation and personalized cash‑back offers, and broader data democratization. The results include $10M in operational savings from smarter rewards, a 50% reduction in analytics platform costs and a 25% increase in self‑service analytics users, while accelerating expansion into transportation, gaming and marketplace services.

PicPay

Raphael Dayan

Head of Data Analytics