Data platforms
The modern data stack for mid-market
You don't need a FTSE-100 data team to get FTSE-100 insight. The trick is matching the architecture to the organisation you actually are.
Mid-market organisations often inherit their data strategy from case studies written for enterprises ten times their size — and end up with a stack they can't staff, govern or afford. The good news: you don't need enterprise scale to get enterprise-grade insight. You need architecture matched to your reality.
Fewer moving parts, not more
Every additional tool in a stack is another thing to integrate, secure, monitor and pay for — and mid-market teams rarely have a platform engineer to spare. This is where a consolidated platform earns its keep: one governed lake, one security model, one bill, ingestion-to-BI in a single place. Less to run means more of your (smaller) team's time goes to answering questions rather than keeping the plumbing alive.
Governance you can actually enforce
Enterprises can afford a data-governance function. Mid-market teams need governance that's built into the platform — row-level security, sensitivity, lineage and a clean development-to-production path — so trust is the default, not a committee. A single source of truth is worth far more to a lean team than a dozen best-of-breed tools nobody has time to reconcile.
The best mid-market stack is the smallest one that reliably answers your questions — and that a small team can actually run.
Buy the accelerator, build the differentiator
Enterprises can build everything from scratch. Mid-market teams shouldn't. Start from pre-built accelerators, proven frameworks and design systems for the 80% that's common to everyone — then spend your scarce build effort on the 20% that's genuinely yours. It's the difference between seeing working intelligence in weeks versus quarters, at a fraction of the cost.
Design for adoption from day one
With a smaller audience, every user matters more. A report nobody opens is a bigger proportional loss for a 200-person company than a 20,000-person one. Lead with design — answer-first, consistent, built for decisions — and your modest platform will out-deliver a sprawling enterprise stack that's technically impressive and rarely used. Small, governed, beautifully designed and actually adopted beats big every time. That's the approach behind our Data & Analytics work.