How Obie cut compute costs by 30%, reclaimed engineering hours, and built stronger governance

Obie, an embedded insurance platform for real estate investors, tackled rising infrastructure costs and operational inefficiencies by adopting the dbt Fusion engine and state-aware orchestration (SAO), resulting in a 30% reduction in compute costs and increased data refresh frequency from daily to every two hours. The transition from a Data Vault 2.0 methodology to Fusion's streamlined modeling patterns enabled faster development cycles, with over 90% of the migration complete. This shift freed up to five engineering hours per week, allowing the team to focus on analytics and product development, while consistent metric definitions ensured reliable data reporting. As part of their ongoing efforts to enhance data governance and self-service analytics, Obie plans to implement a Slack bot leveraging the dbt Semantic Layer and is exploring dbt Mesh and the dbt MCP server. Senior data engineers praised Fusion for its efficiency and impact on workflows, highlighting the importance of dbt in maintaining a lean operational environment amidst growth and integration challenges.

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