Challenge
A sustainability-focused technology organization needed to modernize its carbon accounting infrastructure.
With growing regulatory pressure from frameworks like the EU’s CSRD and expanding Scope 1, 2, and 3 reporting requirements, the company’s existing processes were too manual, fragmented, and spreadsheet-dependent to scale.
Emissions data was scattered across disconnected systems with no clear data lineage, creating auditability risks and slowing strategic decision-making.
Leadership needed a platform that could deliver trusted, real-time sustainability insight.
Solution
We designed and built a cloud-native carbon intelligence platform using Snowflake and dbt. The architecture follows a three-layer model – Raw, Transformation, and Consumption – that centralizes emissions data, applies version-controlled and fully tested carbon calculation logic, and curates governed data products for reporting and analytics.
Using Snowflake’s high-performance compute and dbt-managed transformation pipelines, carbon data becomes available in near real time as soon as it lands in the platform.
GoodData dashboards provide interactive, self-service ESG analytics, and the Consumption Layer is architected as a reusable data product foundation for internal and external distribution.
Business Value
The platform reduced manual reporting effort by more than 70% and achieved 100% Scope 1, 2, and 3 coverage across all relevant product categories.
End-to-end emission reporting is now fully automated with near-complete data accuracy validated through automated testing.
Sustainability teams shifted from data preparation to strategic analysis, and the architecture supports evolving global disclosure requirements without re-engineering.
Ready to modernize your sustainability data infrastructure? Download the full case study to see how we built it.
