Most Power BI consultancy shortlists are built on dashboard screenshots. Here is what actually separates a good partner from an expensive one — the evaluation criteria, realistic costs and timelines, and how migrations really work.
Most Power BI consultancy shortlists are built on the wrong evidence. A prospect looks at a gallery of glossy dashboards, picks the three that look nicest, and asks them all for a quote. Six months later the prettiest dashboard is the one nobody trusts, because underneath it the data model is a tangle and every number takes an argument to defend. Dashboards are the easy part. Choosing well means looking at what sits underneath.
What actually separates a good Power BI partner from an expensive one
Push past the portfolio and ask about the engineering. A capable consultancy can talk fluently about star-schema data modelling, DAX optimisation, deployment pipelines, and performance tuning — because those, not visuals, determine whether your reporting is fast, correct and maintainable. Ask how they handle governed self-service: certified datasets, workspace structure, row-level security, and whether they set you up with a Centre of Excellence operating model or just hand over a file. Ask who actually does the work — the person in the sales meeting, or an offshore team you never meet. And ask them to frame success in business terms: faster close, fewer reporting disputes, decisions the data now supports — not a beautiful dashboard. The firms that answer in outcomes and engineering specifics are the ones worth shortlisting.
Governed self-service, not a free-for-all
The point of Power BI is to let the business answer its own questions. The risk is a sprawl of conflicting reports where every team has its own version of revenue. Good governance resolves that tension rather than killing self-service: certified datasets people can trust, a semantic model that defines each measure once, clear workspace ownership, and security applied consistently rather than report by report. Get that foundation right and self-service scales safely; skip it and you spend year two untangling it. It is the same governance discipline we bring to every data strategy and governance engagement.
What it costs and how long it takes
Nobody publishes prices, so here are honest ranges for the UK mid-market. A focused proof-of-value — one governed dataset and a report that matters — typically runs a few weeks and a low-five-figure budget. A departmental rollout with proper data engineering, several report suites and training is usually a few months and mid-five figures. An organisation-wide programme with migration, governance and change management runs longer and is best delivered in phases rather than one lump. What moves the number is rarely the visuals; it is data complexity, how many source systems must be wrangled, stakeholder alignment, and governance requirements. Be wary of any quote that prices dashboards by the screen and stays silent on the model underneath.
Migrating from spreadsheets and legacy reporting
Most mid-market Power BI work is a migration, not a greenfield build — usually away from VBA-heavy spreadsheets, ageing SSRS reports, or a disconnected mix of manual exports. The technical work is real: translating spreadsheet logic and legacy calculations into a clean DAX semantic model, designing a proper star schema, and automating refresh so numbers stop being re-keyed by hand. But the harder part is organisational — agreeing definitions, managing change, and moving people off the spreadsheet they have trusted for a decade. Done well, migration is where the biggest wins hide: the reporting gets faster, the arguments stop, and the finance team quietly retires its shadow workbook. If your reporting still lives in spreadsheets, that is exactly the transition our Power BI consultancy work and our Analytics Acceleration Programme are built to make safe.
Simon Devine
Managing Director
Part of the Hopton Analytics team, delivering governed analytics programmes for UK mid-market organisations.