Mid-market organisations are underserved by analytics consultancies. The large firms price them out or treat them as a smaller version of an enterprise engagement. The boutique firms often lack the delivery capability for complex data platform or AI work.
This introduction covers who Hopton Analytics are, how they work, and what a typical engagement looks like - from the first conversation to a delivered data platform, reporting estate, or AI application on Microsoft Fabric, Power BI, and Azure.
Trusted analytics, built for decisions.
Who Hopton works with and what they build
Hopton's clients are mid-market organisations across the UK and Ireland - typically in professional services, financial services, and operations-intensive businesses. The work is data platforms, governed reporting estates, and AI applications, almost always on the Microsoft stack.
How a Hopton engagement works
Engagements start with discovery - a structured process for understanding which data problems are worth solving and in what order. What follows is delivery that demonstrates value early, maintains quality throughout, and leaves teams able to maintain what has been built.
What the playbook covers
- An overview of Hopton Analytics: who we are and what we build
- The sectors and types of organisation we work with across the UK and Ireland
- How an engagement with Hopton is structured from first conversation to delivery
- The Microsoft Fabric, Power BI, and Azure capabilities we bring to engagements
- How we approach data strategy and AI in a way that leaves organisations independent
Who this is for
Operations directors, IT leads, CFOs, and senior leaders in mid-market organisations who are considering an analytics or AI engagement and want to understand how Hopton approaches the work.