The challenge
Helen operates across many domains - from energy production and distribution to customer services and digital channels. Data was scattered and ownership unclear, slowing decisions and daily work.
Data scattered across many business domains
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, maintaining consistency and accountability had become increasingly difficult.
Unclear ownership slowed the business down
Ownership of data was often unclear, leading to duplication of effort, delays in decision-making, and challenges in aligning data with business priorities.
A structured but lightweight model was needed
Helen needed a structured but lightweight model - one that defines responsibilities clearly and embeds that understanding into daily work, rather than adding a new governance layer on top.
What we built
A tailored ownership model co-created with the business and IT - mapping data domains, agreeing on a shared language, and embedding ownership into existing processes.
Results
A concrete foundation for managing data as a shared responsibility - clear roles, stronger collaboration, and a springboard for future initiatives.
One shared model that clarifies responsibilities from energy production to digital channels - adopted across Helen.
Role descriptions and responsibilities agreed together - no ambiguity in daily work.
Data, processes, and systems in one view - easy to onboard new people and align teams.
The model serves as a springboard for other data initiatives - governance, analytics, and AI-driven use cases.
