Case Study: Suunto cuts analytics costs by 80% with Mitzu

Suunto cuts analytics costs by 80% with Mitzu

Suunto, a Finnish company known for its sports watches and outdoor gear, faced the challenge of managing fragmented analytics data from millions of monthly active users. Their data was spread across over five sources, including app telemetry and SAP, leading to high costs, time-consuming integration, and a lack of flexibility for complex analysis. They turned to the vendor Mitzu to find a solution that worked with their existing Databricks platform.

By implementing Mitzu, Suunto centralized all analytics directly on Databricks, eliminating the need to move data. Mitzu provided a self-service interface for business users while giving engineers full control over custom data models. This solution resulted in an 80% reduction in analytics costs due to Mitzu's seat-based pricing. The company successfully unified its data sources, accelerated decision-making, and gained the flexibility to answer previously unattainable business questions.

Suunto