Case Study: Kolibri Games builds a data mesh and data trust with Monte Carlo

A Monte Carlo Case Study

Preview of the Kolibri Games Case Study

Kolibri Games’ 5-Year Journey to Building a Data Mesh

Kolibri Games, a mobile game developer, faced significant challenges managing the vast amount of data generated by their popular titles. With their data scattered across various third-party tools, their analytics were inconsistent and lacked transparency, hindering their ability to make data-driven decisions for game development and marketing. To build a reliable, scalable, and self-serve data platform, they partnered with Monte Carlo.

Implementing Monte Carlo's data observability solution provided Kolibri Games with end-to-end data monitoring and lineage capabilities. This allowed the team to quickly identify and resolve data issues, which was crucial for their transition to a data mesh architecture. The results included increased trust in their data, faster troubleshooting of incidents, and the ability to scale their data operations effectively, ultimately supporting their goal of a fully data-driven culture.


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Kolibri Games

António Fitas

Head of Data Engineering


Monte Carlo

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