Case Study: Smartme Analytics achieves real-time consumer insights with Tinybird

Smartme Analytics builds 7+ data products with Tinybird

Smartme Analytics, a leading consumer behavior platform, was shifting from a consultancy to a SaaS model. Their legacy architecture using R, CSV exports, and Tableau was too slow and inflexible to support their growing product. Their small data engineering team struggled with complex infrastructure like Redshift and needed a solution that would empower their analysts and developers, leading them to the Tinybird data platform.

By implementing Tinybird, Smartme's data engineers built a proof of concept in under two weeks and went on to develop over seven user-facing data products. The platform empowered 60% of their workforce, including data analysts who use it directly with SQL, to build new features. This allowed the data team to build pipelines faster than the frontend could integrate them, enabling Smartme to successfully evolve into a premiere Consumer 360 SaaS.

Smartme Analytics