Case Study: Flo Energy achieves unified, observable energy data workflows with Dagster Labs

Flo Energy achieves 99.9% materialization success with Dagster Labs

Flo Energy, a leading independent electricity retailer in Singapore and Australia, faced the challenge of unifying fragmented data from meters, weather, markets, and business strategies into reliable insights. Their data-centric business required a technically reliable and operationally valuable platform to prevent pipeline failures that could disrupt pricing, forecasting, and reporting. They adopted Dagster as their centralized data orchestration platform to manage this complexity and enable broad cross-functional collaboration.

The solution implemented by Dagster provided a unified orchestration layer that integrated Flo Energy's Snowflake storage, dbt transformations, and Holistics reporting. Dagster enabled both scheduled batch workflows and event-driven, sensor-based automation, making dependencies and failures visible. This resulted in a platform that achieved a 99.9% materialization success rate, improved troubleshooting, and embedded data quality checks directly into pipelines. By choosing Dagster, Flo Energy built a scalable foundation that supports over a thousand assets and allows different teams to manage their own workflows with decentralized ownership.

Flo Energy