MHYP strengthens data collaboration with a unified Data Governance model
A nationwide network now has shared principles for governing data - clearer responsibilities, faster reporting and deeper collaboration.
The challenge
MHYP supports a nationwide network of forest management associations with multiple organisations and ways of operating - a unified approach to data management was needed.
Practices varied between organisations
As the network grew and data became more central to daily work, the need for a more unified approach to data management became clear. Without shared guidelines, practices varied between organisations, which made reporting slower and collaboration more difficult.
Expectations were rising steadily
At the same time, expectations around data quality, transparency and coordinated development were steadily increasing. A framework that could respond to growing requirements across the whole network was needed.
Multi-organisation context required a flexible model
MHYP needed a data governance framework that could bring consistency across the network while still fitting a multi-organisational environment. The goal was to clarify responsibilities, support better decision-making and ensure data could be used in a secure and sustainable way.
What we built
Shared Data Governance principles were defined in close collaboration with the whole network - through interviews, hands-on workshops and a focused pilot.
- 01The Baseline
Network-wide interviews
We worked closely with MHYP and representatives from across the network to design a data governance model that reflects how the organisation actually operates.
- 02Collaboration
Hands-on workshops
In workshops we identified the most important data areas, clarified ownership between different parties and agreed on shared principles for managing and using data.
- 03Validation
Focused pilot
Through a focused pilot we validated that the principles worked in real situations before rolling them out across the network.
- 04Adoption
Rollout and anchoring
The principles were documented and anchored into MHYP's formal operating model. A rollout plan and governance processes were built to fit into day-to-day work rather than sitting alongside it.
Results
A shared, network-wide model for governing the most important data assets - clarity, stronger collaboration and a solid foundation for the future.
Stakeholders across the network understand their roles, know how decisions are made and have a clear framework for using and developing data consistently.
The most important data assets governed under one shared model.
A multi-organisation environment now operates under a single framework.
The model positions MHYP to move confidently toward broader data and AI initiatives, supported by common principles the whole network can rely on.
Beyond the numbers
- Clarity and trust in every data decision
- Improved foundation for high-quality analytics and reporting
