A realistic timeline for finance reporting projects
Published 6 June 2026
"How long will it take?" is usually the second question finance leaders ask, right after cost. The honest answer: depending on complexity, your Power BI model and reports can be up and running in one to two weeks. A single dashboard or single project is typically 5–10 working days; multiple projects or a complex data environment add two to three weeks. Here's a realistic breakdown of where the time goes.
For a focused, well-scoped project on reasonably clean data, expect roughly 5 to 10 working days end to end — up and running in one to two weeks. Larger, multi-source or organisation-wide rollouts add two to three weeks. The phases below explain where the time goes.
| Project | Typical scope | Timeline |
|---|---|---|
| Single dashboard or single project | One reporting area, a manageable number of data sources | 5–10 working days: up and running in 1–2 weeks |
| Multiple projects or a complex environment | Several reporting areas, multiple or messy data sources, security and governance requirements | Add 2–3 weeks (about 3–5 weeks in total) |
We agree the decisions the reports must support, map your data sources, and define what the numbers must reconcile to. Time invested here prevents weeks of rework later.
The clean, reconciled data model is the foundation of everything else. This is usually the most important — and most underestimated — phase. Messy or multiple data sources extend it.
With a solid model, building the visuals, DAX measures, and drill-throughs is comparatively quick. We build a prototype early and refine it with your feedback.
We run the reports for a closed period and reconcile every key figure to the signed-off management accounts. This is what earns finance's trust before go-live.
We set up refresh, access, and security, then train your team to own the solution. Done well, this phase is short but decisive for long-term success.
These are minimum times for a project that is not overly complex. More sources, messier data or more audiences extend each phase.
A larger programme that includes team training runs longer. A typical engagement for a large public institution moving off manual spreadsheet reporting: about 1 day of preparation, 4 days of training and 10 days of implementation, delivered over six to seven calendar weeks. Weeks 1–2: requirements, data-source assessment, KPI definition and team training. Weeks 2–5: data model, source-system integration and dashboards, with a prototype early. Weeks 5–7: reconciliation to the management accounts, refresh, access and security, rollout and handover. This example is illustrative, based on how we scope this type of engagement.
The visuals take days. A single dashboard or single project typically takes 5–10 working days, including the data model. Multiple projects or a complex data environment add two to three weeks.
Counter-intuitively, the projects that finish quickest spend more time on discovery and data modelling and less on rebuilding visuals nobody trusts. Our Power BI implementation checklist for finance teams walks through how to set that foundation.
Want a realistic timeline for your specific situation? We deliver Power BI implementation services remotely to clients nationally and worldwide. Tell us about your data and goals and we'll give you a firm timeline before we start.
A single, well-scoped project on reasonably clean data can be up and running in one to two weeks. Several sources, security requirements or messy data take longer.
Usually because the build started before the data model and requirements were settled. A sound model makes weekly changes quick.
No. BI reads from existing systems rather than replacing them, so it is typically weeks where an ERP is months.
No. Access to data and a responsive owner matter far more than location.