Sparkline Advisory Ltd
At Sparkline Advisory Ltd, we help higher education providers – especially small and specialist ones – make sense of their data and systems. Whether you’re exploring SharePoint, Power BI, or custom databases, I turn technical tools into practical solutions that actually work for your team.
I have been trading for some time as The Data Goddess, and while that personal brand will remain, I am now moving to a limited company structure to better support my clients and the sector.
From developing dashboards to designing intranets, we focus on making new technologies accessible and empowering. Our work goes beyond implementation – we help you build the skills and confidence to use your systems effectively, long after our project ends.
We also support individuals through training courses, because great data work starts with empowered people. Whether you’re navigating data protection, preparing for returns, or simply need a sounding board – we’re here to help.
You don’t need to know everything about tech. You just need the right support to move forward. At Sparkline Advisory, we offer that support – practical, honest, and built around you.
It’s not just about tech. It’s about making your systems smarter, your processes smoother, and your team more confident. Let’s take the stress out of data, and turn your challenges into opportunities for growth.
Our Subdivisions
Hands-on support with the work that keeps your data trustworthy – governance, protection, regulatory returns and AI policy. Practical help that leaves your team more capable, not more dependent.
Training that makes data and AI make sense, whoever you are – from front-line staff to executive boards. Confidence built properly, without the jargon.
Where the thinking happens. Frameworks, tools and dashboards built from real sector experience – the ideas that power everything else Sparkline does.
AI won’t take the bias out of your admissions. It can scale it up.
A few years ago, Amazon quietly scrapped an AI tool it had built to sift job applications. The tool had been trained on ten years of the company’s own hiring decisions, the idea being that it would learn to recognise a good candidate the way Amazon’s best recruiters did. It learned something else. It taught…
Continue Reading AI won’t take the bias out of your admissions. It can scale it up.
Yes, But What Does It Actually Mean? | No. 4
Survivorship bias, the bombers that came home, and the data you never get to see “They don’t make them like they used to.” You have heard it, and you may even have said it, usually while admiring a solid old wooden dresser or a building that has stood for two hundred years. The craftsmanship was…
Continue Reading Yes, But What Does It Actually Mean? | No. 4
How The Data World Changed – For Me.
Guest post from Jim McCarten Recently I went to a retirement party for a former colleague, who’d put in over 37 years at our previous employer. This made me reflect on my own time, from joining, to leaving, the world of ‘IT’ as was and how this has altered so drastically in that time. It…
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