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What the R14 scramble tells us about data maturity

Andy Simm headshot
by
Andy Simm

The R14 deadline exposes deeper issues in data culture and maturity across further education providers. Here’s why it’s time to take stock.

A group of students walking down a flight of stairs.

The R14 Individual Learner Record (ILR) deadline has now passed. For many further education providers, it marked the end of a stressful sprint to finalise learner data, reconcile funding, and lock in performance metrics for the year.

If it felt like a scramble, you’re not alone. But it’s also a signal. Period 14 doesn’t just test your data processes - it reflects how well your organisation manages data overall.

Too often, the final ILR return is treated as a compliance task. But it’s more than that. It’s a mirror. It shows the health of your data systems, the confidence of your teams, and the strength of your internal processes.

If you faced issues like these, it’s worth taking a closer look:

  • Funding errors and clawbacks - Mismatched records can lead to overpayments and painful reconciliations. That’s not just a financial risk—it’s a sign your data isn’t working as it should.
  • Data locks that block payments - DLOCKs are frustrating and time-consuming. They often point to deeper problems with data alignment across systems and teams.
  • Qualification achievement rate issues - Inaccurate or incomplete data can distort your QAR figures. That affects how your performance is viewed and can influence future funding.
  • Manual fixes under pressure - If your teams were stitching together spreadsheets and chasing missing fields, it’s a sign your systems aren’t supporting them properly.

These problems don’t start with R14. They build up over time. And they’re symptoms of low data maturity.

The reality behind the scramble

The truth is, the data submitted is only as good as the evidence and information collected. If your wider culture doesn’t embrace the importance of accurate data, timely submissions, and the checks and balances required, the struggle will remain.

Data maturity means adopting an enterprise-wide approach to data. It’s about encouraging data citizenship, where everyone understands their role in data quality, and driving ownership at every stage, from point of entry to final submission.

And yes, it’s often a puzzle. Fixing data validation issues can feel like trial and error. It takes persistence, collaboration, and a willingness to learn from what didn’t work the first time.

What data maturity really means

Data maturity isn’t just about having the right software. It’s about how your organisation thinks about data, how your teams work with it, and how your systems support them.

Our data maturity framework helps you assess where you are now and plan for where you want to be. It’s built around five key areas:

  • Data strategy - Is data part of your long-term vision? A strong strategy links data to organisational goals and ensures investment is targeted and effective.
  • Data governance - Who owns your data and who checks its quality? Governance is about clarity, accountability, and shared responsibility.
  • Processes and systems - Are your systems integrated and fit for purpose? Mature processes reduce duplication, improve accuracy, and free up time for value-added work.
  • Reporting - Can you produce accurate, timely reports without manual effort? Good reporting supports strategic planning and helps you respond quickly to change.
  • Decision-making - Are your decisions guided by data or based on instinct alone? Mature organisations use data to validate judgement and challenge assumptions.

Looking forward

The R14 deadline may have passed, but the lessons it offers are still fresh. This is the perfect time to reflect, regroup, and plan for improvement.

With mature data practices, you can:

  • Improve the accuracy of your statutory returns
  • Make better decisions faster
  • Free up staff time for student support
  • Reduce stress and improve staff wellbeing
  • Build stronger funding models and forecasts
  • Lay the groundwork for AI and predictive analytics

How we can help

Our data maturity consultancy is here to support you. We’ll work with you to:

  • Understand your current data landscape
  • Engage your teams and build shared ownership
  • Create a roadmap for improvement
  • Build confidence and capability across your organisation

Whether you’re just starting out or ready to take the next steps, we’ll tailor our support to your needs.

Speak to your relationship manager about how our consultancy can support you.

About the author

Andy Simm headshot
Andy Simm
Data manager, Jisc