Zippi, a Brazilian fintech firm, adopted Dagster to build a reliable and adaptable data platform. The company, which provides financial products tailored to micro-entrepreneurs and small businesses, initially focused on operationalizing its machine learning model for loan underwriting analysis. With Dagster, Zippi was able to deliver faster insights with less downtime, reduce maintenance costs, and gain greater visibility into its data assets. The team implemented a centralized platform, fostering collaboration and autonomy among data practitioners and stakeholders. By running its ETL service on Dagster, Zippi unified its data stack, eliminating local scheduling tasks and one-off Python scripts. Today, the team has full observability across the data platform, monitoring, and alerting in Slack, making it easier to diagnose and troubleshoot issues. The company plans to continue building out more integrations, automating steps of the process, and remodeling its pipelines following a reorganization at Zippi.