Case Study: Inventa improves data accuracy and cuts maintenance time with dbt Labs

Inventa Builds Confidence in Data Through the dbt Semantic Layer

Inventa, a fast-growing B2B marketplace in São Paulo, Brazil, needed a more reliable way to manage and trust its data as the business scaled. After starting with a fragile, low-cost Postgres-based stack, the team spent too much time on maintenance, testing, and patching systems together instead of supporting analytics and credit-risk use cases. Inventa turned to dbt Labs and dbt Cloud, along with the dbt Semantic Layer, to build a more dependable data foundation.

With dbt Labs, Inventa centralized and tested its metrics in the dbt Semantic Layer, improved documentation and lineage, and automated supplier reporting through Hex and Snowflake integrations. The results were significant: data maintenance time dropped by 90%, the team expanded from 2 to 13 contributors to data models, and 83 metrics were centralized in the semantic layer. Inventa also replaced a manual, day-long supplier reporting process with automated reports and improved confidence across the company in the accuracy of its data.

Inventa

Gabriel Marinho

Lead Analytics Engineer