Data Architecture principles
5. Data is analysable
- Last reviewed
- 4 June 2026
- Owner
- Head of Architecture
Our data fundamentally underpins our ability to assess policy and delivery effectiveness.
Why data is analysable
Making sound policy and spending decisions across DfE is significantly enhanced by access to timely, accurate data from all services and across the wider educational sector. Holding this data for all systems, services, functions and processes will enable a common view on our citizen interactions, our management decisions and how our utilisation of resources best serves the tax-payer.
With DfE’s increasing delivery focus, we increasingly need to have Business Intelligence and Management Information across the sector, as well as our own Financial, Commercial and HR processes.
How data is analysable
Visualisation and analytics software will be provided to allow consumption of data in ways appropriate to user needs, including, for example, reports, dashboards, statistical analysis.
This data and its subsequent use will be covered by DfE Data Governance policies and processes, and the Government Statistical Service Code of Practice.
Data owners must define policies and processes to ensure data quality problems identified can be reported to relevant services and data stewards to be fixed at source.