“I don’t do data.”
It’s a phrase heard all too often across professional services in UK higher education.
Despite the sector’s growing reliance on data to inform strategic decisions, evaluate performance, and improve services, a significant skills gap remains—particularly among non-specialist staff.
Critical skills
Universities increasingly regard data as a critical asset. But while institutional expectations are rising, many professional services teams feel underprepared to meet what is now expected of them. The ability to interpret, contextualise, and communicate insights from data is now an essential part of most roles. And yet, for many professionals, data remains confusing, intimidating, or simply outside their perceived remit.
This gap isn’t just about technical skills—it’s about confidence, culture, and collaboration. Professional services staff are often expected to make sense of complex datasets without the training or tools to do so effectively. Everyone is expected to engage with data daily, but few are properly equipped to do so. The result? Missed opportunities, reliance on specialist teams, and a growing divide between “data people” and everyone else.
That divide threatens more than just productivity. In an era of AI and self-service analytics, the risk is that subject matter expertise gets lost or overridden by automated insights or misunderstood metrics. True value comes not just from accessing data, but from interpreting it through a lens of organisational understanding and professional experience. So how can we bridge the gap between those who do and those who don’t do data?
The options
Often the answer seems to be recruiting external data specialists – usually at considerable expense. While this brings in the needed expertise it also creates silos rather than building capability across teams. This approach not only strains budgets—with specialist salaries commanding premium rates in today’s competitive market—but also creates dependency on individuals who may lack contextual understanding of higher education. There is also a problem of longevity. When these specialists eventually leave, they take their knowledge with them, leaving institutions vulnerable.
By contrast, institutions that invest in developing data confidence across existing staff leverage their team’s deep sector knowledge while creating more sustainable, resilient capabilities. The return on investment becomes clear: upskilling current staff who understand institutional nuances creates more value than repeatedly recruiting external experts who require months to grasp the complexities of university operations.
Meanwhile, higher education faces an ever-expanding regulatory and statutory data burden. From HESA returns and TEF submissions to access and participation plans and REF preparations, the volume and complexity of mandatory reporting continues to grow. Each new requirement brings not just additional work but increased scrutiny and consequences for inaccuracy or misinterpretation. This regulatory landscape demands that universities distribute data capabilities widely rather than concentrating them in specialist teams who come close to breaking point during reporting seasons.
When professional services staff across the institution can confidently engage with data, universities can respond more nimbly to regulatory changes, identify compliance risks earlier, and transform what might otherwise be box-ticking exercises into meaningful insights that drive institutional improvement.
Data confident
Recognising this challenge, UHR and Strive Higher have developed the Developing Confident Data Partners programme—a practical, supportive course designed specifically for HR and People professionals in higher education. Drawing on insights from UHR’s 6,000+ members, the programme addresses the real barriers to data confidence and equips participants with the skills and language to contribute meaningfully to data-informed conversations.
By bridging the gap between subject matter expertise and data literacy, this initiative empowers professionals to engage more fully with the data-driven culture of their institutions. As one participant put it:
The programme boosted my confidence and has taken away some of the mystery that some pure data experts can often create. I know what to do now before I ask for data, and what to say when I do want some.
In a sector where informed decision-making is critical, the data skills gap in professional services can no longer be ignored. The Confident Data Partners programme is one step toward a more inclusive, capable, and collaborative data culture across UK higher education.
The journey is just beginning. The opportunities in a data-driven world are endless, but success hinges on individuals understanding how to use data to inform strategy, planning and continuous improvement, and being able to communicate and collaborate with their peers.
This initiative has been a learning experience for us both. It’s shown how, when data aligns with real-world needs, the results are transformative. Because when data meets purpose – that’s where the magic happens.
This has been hugely popular with our members at UHR and we even have a waiting list for the next one! Sophie has a way of being enthusiastic about data that draws people in and Laura delivers an excellent programme – well done both!
This sounds like an excellent initiative. Many of the data conversations in HEIs tend to gravitate to student data – so something developed specifically for the HR community feels like a really important step in developing a more data-literate and data-confident workforce.