How Stora Enso enables autonomous data teams with dbt

Stora Enso, a leading renewable materials company, addressed the inefficiencies of its centralized data team by adopting dbt to enable decentralized data operations, significantly reducing data delivery times from months to days and empowering autonomous analytics across its five divisions. The shift involved halving the central data team and embedding engineers within divisions, transforming the central team's role from service delivery to platform provision, thus allowing divisions to prioritize their own analytics projects. This transition was facilitated by dbt's use of SQL, a universally understood language among analysts, and its built-in data lineage and testing frameworks, which maintained quality standards across teams. The success of this decentralized model has positioned Stora Enso to explore further innovations, including compliance with EU regulations, AI integration, and platform portability, thereby demonstrating how the right technological foundation can drive significant organizational change.

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