At KSS Energia, data ownership and responsibilities were undefined. Data governance was centralized in the data team without active business involvement. Decisions were made case-by-case in projects, and documentation was fragmented.

Data management was technology-driven and not anchored to business processes. The organization lacked a consistent way to manage data, which made it harder to utilize information in core processes.

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We designed a five-part data governance model covering roles, data domains, decision-making, tasks, and coordination. The model anchors data governance to business processes rather than technology platforms.

We conducted interviews with key stakeholders and ran three workshops with over 17 representatives from energy markets, customer lifecycle, and grid operations. The outcome connects data governance to the same strategy cycle as the business.

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KSS Energia now has named data owners for seven data domains and a clear decision-making model across three levels. The governance model integrates into existing business rhythms rather than operating as a separate process.

Roadmap includes deploying a data catalog, implementing prioritized use cases, and establishing regular coordination forums. The foundation enables systematic execution of data-driven initiatives.

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