Every data problem we’ve ever seen in higher education has one thing in common.
Somewhere underneath it – underneath the messy spreadsheets, the unreliable reports, the dashboards nobody trusts, the HESA return that needs three rounds of corrections – there is a governance problem.
Not always an obvious one. Not always one that anyone has named. But it’s there.
Data governance is one of those terms that gets used a lot and understood inconsistently. At its simplest, it is the set of decisions an organisation makes about how data is defined, collected, stored, maintained, used, and protected. Who is responsible for what. What the standards are. What happens when something goes wrong.
It sounds administrative. It is anything but.
When data governance is weak or absent, the consequences ripple outward in ways that aren’t always immediately traceable back to the source.
Decisions get made on data that different people interpret differently, because nobody ever agreed what the numbers actually mean. Reports take three times as long as they should because the data has to be cleaned before it can be used. The same question gets answered differently depending on who you ask and which system they pull from. Statutory returns become an annual ordeal rather than a routine output of a well-maintained system.
And when AI enters the picture – as it has, rapidly, across the sector – weak data governance becomes an active risk. AI systems are only as trustworthy as the data they work with. Deploying AI on top of a poorly governed data environment doesn’t solve the governance problem. It amplifies it.
Data governance isn’t the most glamorous part of what we do. It doesn’t generate the excitement of a new dashboard or the immediate satisfaction of a problem fixed. It works quietly, in the background, holding everything else up.
Which is exactly why we think of it as bedrock.
Not a project to be completed. Not a policy to be written and filed. A foundation – something that has to be right before the rest of what an institution wants to do with its data becomes possible.
At Sparkline, we’ve been developing something in this space that we think addresses a gap in how data governance support is currently offered to higher education institutions. We’re not quite ready to share the details yet – but we will be soon.
If data governance is something your institution is wrestling with right now, we’d love to have that conversation in the meantime.