Driving industry improvements
Case study
As we make more data available to support faster, smarter decisions, strong data quality and governance are critical to ensuring trust and usability. Improving the accuracy, maturity, and reliability of our data, and the standards that underpin, it is essential.

As we make more data available to support faster, smarter decisions, strong data quality and governance are critical to ensuring trust and usability. Improving the accuracy, maturity, and reliability of our data, and the standards that underpin, it is essential.
We collaborated with Ofgem’s Energy System Digitalisation Team to define an objective maturity framework for Ofgem’s Data Best Practice principles, which underpins data culture excellence. Placing objective criteria for improvement against the principles has helped us to quantify and improve our own performance. This has enabled us to grow our maturity score from 62% in 2023/24 to 78% in 2024/25; we now exceed Ofgem’s baseline expectations (60%) in all principles.
We have published the maturity framework to encourage other energy stakeholders to drive improvements in their own data maturity. The framework helps us to identify opportunities for improvement, such as introducing real-time data quality detection for sensitive data sets. For example, within our new Switchgear Short Time Fault Rating data dashboard, over 142,000 switchgear records are analysed for discrepancies in real time, enhancing the efficiency and accuracy of the network planning work that depends on it.
We collaborated with Ofgem’s Energy System Digitalisation Team to define an objective maturity framework for Ofgem’s Data Best Practice principles, which underpins data culture excellence. Placing objective criteria for improvement against the principles has helped us to quantify and improve our own performance. This has enabled us to grow our maturity score from 62% in 2023/24 to 78% in 2024/25; we now exceed Ofgem’s baseline expectations (60%) in all principles.
We have published the maturity framework to encourage other energy stakeholders to drive improvements in their own data maturity. The framework helps us to identify opportunities for improvement, such as introducing real-time data quality detection for sensitive data sets. For example, within our new Switchgear Short Time Fault Rating data dashboard, over 142,000 switchgear records are analysed for discrepancies in real time, enhancing the efficiency and accuracy of the network planning work that depends on it.
Would you like to explore this further?
For more information view our DSO Performance Panel Report 2024/25.
Would you like to explore this further?
For more information view our DSO Performance Panel Report 2024/25.