From GPT‑3.5 to GPT‑5: The Evolution of ChatGPT’s AI Models
OpenAI CEO Sam Altman (on phone screen) speaks with the ChatGPT logo in the background – his company is gearing […]
Data Fitness Metrics: Simple KPIs Every Team Should Track
Once you’ve started making your data more usable and understandable, the next step is knowing whether you’re making progress. That’s
From Raw to Ready: A Practical Guide to Data Refinement
It’s easy to forget that the dashboard is only the end of the journey. If you want meaningful insight, you
Fit for Purpose Data: What the Phrase Really Means
“Fit for purpose” is one of those phrases that gets thrown around a lot in data conversations. It sounds sensible.
From Excel to AI: The Evolving Toolkit of the University Data Analyst
When I started working with data in higher education, my tools of choice were Excel and Access. My first real
What Good Is Clean Data If No One Understands It?
There’s a quiet assumption growing in the sector – that faster, more automated data flows mean we need fewer people
What the New York Times v OpenAI Case Means for UK Universities
If you’re in higher education and not following US court cases about AI, you’re not alone. But one lawsuit in
How I Know It’s Time to Rewrite the Process, Not the Report
I’ve been asked to “fix a report” more times than I can count. Sometimes it’s broken, sometimes it’s just confusing,
What the Data (Use and Access) Bill Means
🗓️ Vote due 19 June 2025 If you’ve been quietly ignoring the Data (Use and Access) Bill up to now,
What’s Yours to Carry: Making Sense of Control, Influence and Letting Go
One of the most useful tools I’ve picked up over the years, both in mentoring others and talking myself out