A step-by-step guide to getting your Power BI project right
Published 6 June 2026
Most Power BI projects don't fail because the technology is hard. They fail because they're treated as a dashboard exercise instead of a finance reporting project — built without reconciliation in mind, owned by no one, and abandoned the moment the consultant leaves.
As a practice that combines finance and technology, we've seen the difference a disciplined start makes. Use the checklist below before and during any Power BI implementation to avoid the costly rework that catches most teams.
| Step | Owner | What it produces |
|---|---|---|
| 1–3 Decisions, sources, reconciliation targets | Finance lead | One-page scope and a source list |
| 4–5 Data model and DAX | Consultant / BI developer | Reconciled model, documented measures |
| 6 Refresh and access | IT with finance | Gateway, refresh schedule, security roles |
| 7–8 Prototype and reconcile | Finance team | Signed-off reports for a closed period |
| 9–10 Training, support, roadmap | Finance lead | Trained owners and a change process |
Start from the questions the finance team actually needs answered — budget vs actual, cost-centre performance, cash and commitments, consolidation — and work backwards to the reports. A dashboard that looks impressive but doesn't support a real decision is wasted effort.
List every source the numbers come from: your ERP or accounting system, payroll, spreadsheets, SharePoint, bank files. Note how clean each one is. Most implementation delays come from data that is messier than anyone admitted at the start.
This is the step generic BI providers skip. Decide up front which figures the Power BI reports must reconcile to — usually the management accounts and the general ledger. If your dashboards don't tie back to the numbers finance already trusts, they won't be used.
Resist the urge to start with visuals. A well-structured data model — proper relationships, a date table, clear measures — is what makes everything afterwards fast, accurate, and maintainable. Shortcuts here cause every later problem.
Budget variances, year-to-date, rolling figures, and consolidations need to follow accounting rules, not just technical formulas. This is exactly where finance expertise beats pure BI skill.
Decide how data will refresh (scheduled, gateway, cloud) and who is allowed to see what. Row-level security and governance are far easier to design in at the start than to retrofit later.
Build a working prototype and put it in front of the people who'll use it. Real feedback on real numbers surfaces issues no specification ever will. Iterate before you scale.
Before go-live, run the reports for a closed period and reconcile every key figure to the signed-off management accounts. This single step is what earns finance's trust in the solution.
A solution only one person understands is a risk, not an asset. Make sure the finance team can refresh, maintain, and extend the reports themselves — through structured Power BI training built into the project, not bolted on afterwards.
Reporting needs evolve. Decide how changes, fixes, and new requests will be handled after go-live, so the solution keeps adding value instead of slowly going stale.
The common thread across all ten steps is finance discipline — reconciliation, ownership, and decisions first. That's why a finance-led implementation tends to land faster and stick longer than a purely technical one.
If you'd like a second pair of eyes on your plan, we offer Power BI implementation services for clients nationally and worldwide, delivered remotely. Talk to us about your project and we'll help you scope it properly.
Scope and decisions, data sources, reconciliation targets, model design, security, testing, training and support.
Depending on complexity, one to two weeks for a single project; add two to three weeks for multiple projects or complex environments. See our Power BI implementation timeline.
It depends on scope. See our Power BI consultant cost guide.