Case Study: Zippi achieves a scalable, observable data platform with Dagster Labs

Zippi streamlines 40 million gig economy workers’ credit access with Dagster Labs

Zippi, a Brazilian fintech startup, faced challenges managing its data operations as it grew. The company, which provides microloans to gig economy workers, struggled with integrating a proprietary ML model for loan approvals into its linear data pipelines. This created data silos and limited visibility for different teams, hindering collaboration. To overcome this, Zippi turned to vendor Dagster Labs to build a centralized data platform.

Using Dagster, Zippi incrementally adopted an asset-centric framework to orchestrate its entire data stack, including dbt transformations and the machine learning logic. The solution provided a unified view of data assets, simplifying troubleshooting and monitoring. The results for Zippi included faster insights, reduced maintenance costs, and less downtime. Dagster also fostered greater collaboration and set a foundation for future MLOps development.

Zippi