Data insights, articles and news

The gap between a working tool and a trustworthy one was the focus of our webinar, From Vibe-Coded to Production-Ready.

We brought Manchester's senior leaders together for our first AI roundtable and asked them to be honest about where they actually are with AI adoption. What came back wasn't flattering, but it was useful.

Is SaaS dead? Not quite. But something has genuinely changed. Vibe coding has made it cheaper and faster to build software than to buy it — and some SaaS subscriptions are already starting to look like an unnecessary cost. But the decline narrative misses something important. The hard part of SaaS was never the features. It was everything wrapped around them: security, compliance, uptime and accountability. Vibe coding hasn't changed any of that. This article sets out what organisations should actually do about it — and why the smartest move isn't replacing everything, but knowing which tools are safe to build, which aren't, and what needs to be in place to make ownership work long term.

Vibe coding has made it possible for anyone to build tools that operational workflows quietly depend on. This article argues the real question is not whether something works, but who owns it, who is accountable for it, and whether governance exists to match the pace of adoption.

Most organisations think they know where their data lives. Ask them to prove it and the picture changes quickly. This article argues that data fragmentation is the single most reliable predictor of whether an AI initiative delivers value or quietly stalls.

In many boardrooms, conversations about regulatory compliance and software sound deceptively simple: “We need to comply with GDPR.”, “Our system must support ISO 27001.”, “We have to meet FCA reporting requirements.”.

In software development, one of the most common traps organisations fall into is trying to build everything at once. The result is often a long, expensive project that takes months (or years) to deliver, and when it finally arrives, it’s bloated with features nobody actually uses.

Data is now central to how organisations operate, compete, and grow. But before you can turn that data into insight, you need the right foundation.

Data is now woven into the fabric of how organisations operate. It holds the answers to better decisions, smarter products, and new opportunities, but only if it’s organised in a way that makes those answers accessible.

Data is now one of the most valuable assets any organisation has. But before it can power smarter decisions, predictive models, or new digital products, it needs a place to live that is flexible enough to handle everything you throw at it.