Helen establishes clear data ownership to drive energy innovation
A practical, scalable framework that clarifies responsibilities, improves business–IT collaboration, and lays the groundwork for future governance and AI initiatives.
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.
- 01Starting point
Mapping key data domains
We began by mapping the key data domains and examining how they relate to business processes, operational systems, and decision-making flows.
- 02Ownership
Shared language and role definitions
Together with stakeholders across the business, we co-created a shared language and defined clear roles for data owners and data stewards.
- 03Buy-in
Interactive workshops
We facilitated interactive workshops to build common understanding and ensure the model reflected the day-to-day reality of Helen's operations - not theory, but a way of working.
- 04Adoption
Role descriptions, docs and onboarding
The framework was supported with concise role descriptions, visual documentation, and onboarding materials. Ownership was embedded into existing processes in a way that felt natural and sustainable.
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.
Beyond the numbers
- Improved data quality practices and stronger cross-department collaboration
- Helen is now better equipped to harness data for sustainable, customer-centric energy solutions
