As a diversified energy company, Helen operates across multiple domains—from energy production and distribution to customer services and digital channels. With data scattered across teams and systems, it became increasingly difficult to maintain consistency and accountability.

Ownership of data was often unclear, leading to duplication of effort, delays in decision-making, and challenges in aligning data with business priorities. To address these issues, Helen sought a structured but lightweight model that would define who is responsible for what data—and embed that understanding into daily work.

Data Design worked closely with Helen to design and implement a tailored data ownership model. The work began with mapping key data domains and examining how they relate to business processes, operational systems, and decision-making flows. Together with stakeholders across the business, we co-created a shared language and defined clear roles for data owners and data stewards.

Throughout the project, we facilitated interactive workshops to build a common understanding and ensure the model reflected the day-to-day reality of Helen’s operations. The resulting framework was supported with concise role descriptions, visual documentation, and onboarding materials, making it easy to adopt and scale. Rather than introducing additional governance layers, the focus was on embedding ownership into existing processes in a way that felt natural and sustainable.

The project gave Helen a concrete foundation for managing data as a shared responsibility. The model helped clarify roles across business functions, improve data quality practices, and strengthen collaboration between departments. It also serves as a springboard for other data initiatives, such as governance, analytics, and AI-driven use cases.

Helen is now better equipped to harness data in its mission to provide sustainable and customer-centric energy solutions.