Apprenticeship outcomes, measurably improved.
One data strategy, UK-wide.
A data strategy that turned funding, curriculum and delivery decisions into a single evidence-led framework, with the KPIs built in to prove it works.
enhanced
scheme success
funding & curriculum
continuous improvement
Client
A government education agency responsible for planning, managing and delivering technical education and apprenticeships.
Goal
Develop a comprehensive data strategy to enhance the planning, management and delivery of technical education and apprenticeships.
Funding, curriculum and delivery decisions had no shared evidence base.
The agency needed a data strategy that could be trusted for decision-making in funding, curriculum design and apprenticeship delivery — not a reporting exercise, but something that would hold up against broader government priorities and educational objectives.
The data itself was the obstacle. Sources were diverse and disconnected, accuracy and accessibility suffered as a result, and any move to innovate with data had to be balanced against compliance, transparency and accountability requirements that a government agency cannot compromise on.
Three constraints were non-negotiable:
- Diverse data sources, no unified framework
- Innovation constrained by compliance and accountability duties
- No agreed KPIs to judge apprenticeship success
A data strategy built for policy, not just dashboards.
The starting point was a data strategy aligned to the agency’s long-term goals: improving the quality and reach of apprenticeships across the UK. That meant defining the key metrics and KPIs that would actually be used to judge whether apprenticeship schemes were succeeding, and to guide the policy decisions that followed.
A national apprenticeship system doesn’t need more data. It needs agreed KPIs and a framework for acting on them.
Alongside the strategy came practical recommendations: integrating advanced analytics and reporting systems so the data could be used, not just stored, and clear guidance on how funding, curriculum and delivery teams should draw on it in their day-to-day decisions.
The final piece was a framework for continuous monitoring — a structure that keeps improving apprenticeship outcomes as new data comes in, rather than a one-off report that goes stale. Data collection and reporting processes themselves were tightened up, so the teams feeding the framework were also working faster and more accurately.
From scattered data to a single evidence-led framework.
The agency now has what it didn’t before: a shared, data-driven basis for apprenticeship policy. Funding, curriculum and delivery teams are working from the same evidence, transparency and accountability are stronger, and apprenticeship programmes are better aligned with workforce needs and government priorities across the UK.
* Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.
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*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.