PILLAR: DIGITAL INFRASTRUCTURE
Data Discovery and Cataloguing
What we will do and why
Consistent definition and cataloguing of enterprise data assets to facilitate self-serve data discovery, and appropriate and effective use by internal and external consumers.
Key deliverables
- Application procurement & implementation.
- Internal and external data catalogue.
Target outcomes
- Improved data discoverability.
- Increase in data interoperability and good master data management.
Measures of success
- Successful implementation of the data cataloguing solution.
- Extent of data defined within the data catalogue.
- Data user satisfaction.
Stakeholder Engagement
The set of data catalogue requirements was created through engagement with data analysts and business users in the UK Power Networks Distributed Network Operator (DNO) and System Operator. This was shared with other DNOs who have similar tools or were in the process of procurement to validate the list, resulting in additional requirements being added. Through the data shared on the CLEO and Open Data projects, we have added additional metadata to our standard as requested by data users, including data update frequency and data themes.
Planned start:
15.11.2022
Target completion:
01.09.2024
Key milestones:
- Data cataloguing tool evaluation (Aug 2023)
- Expansion of metamodel (Apr 2024)
- Fully implemented solution (Sep 2024)
Status:
On Track
| Date of change | Category | Description |
|---|---|---|
| 28.06.2024 | Update |
Milestone (Expansion of data catalogue) is complete. Its name got changed from Expansion of data catalogue to Expansion of metamodel. The reason is to specifically reference the change to the metamodel, ensuring our new data catalogue solution captures more contextual information about our data. |
| 24.12.2023 | Update |
No changes other than updated status of the initiatives and milestones. A stakeholder engagement section has also been added. |
View other employees projects
Status: On Track
Target End: 01.07.2025
Data Quality Management
Oversight and coordination of data quality related activities to develop common best practice, uncover and prioritise key issues and ensure interventions are effective and sustained.
Status: On Track
Target End: 01.01.2025
Data Enablement
Definition and implementation of an overarching data governance framework, establishing best-practice discipline in the management and use of enterprise data.
Status: On Track
Target End: 31.03.2028
Unified Network Model (UNM)
Alignment of the planning and operational network models to drive consistency of data across enterprise systems, and enable the exchange of data internally and externally using Common Information Model (CIM).