1. Multiple versions of the same report exist
If teams regularly email spreadsheets, copy formulas, rename files and reconcile conflicting versions, the reporting process is already carrying avoidable control risk.
2. People spend more time preparing reports than analysing them
Repeated downloading, copying, cleaning and reformatting is a strong signal that the process should be automated. Power BI and a suitable data model can move effort from preparation towards interpretation.
3. KPI definitions are inconsistent
A dashboard project is not only a visualisation exercise. The most valuable work is often agreeing what each KPI means, where it comes from, how frequently it refreshes and who owns its definition.
4. Management needs the same view across teams
When different functions create their own interpretations of revenue, service levels, stock, quality or productivity, a governed reporting layer can provide common definitions while still allowing useful drill-down.
5. Excel should not disappear
Power BI does not replace every spreadsheet. Excel remains useful for modelling, one-off analysis and user-driven calculations. The goal is to stop using manually distributed workbooks as the primary enterprise reporting mechanism.
A sensible migration approach
Start with one high-value management report. Define the business question, data sources, KPI rules and ownership first. Build the data model, validate outputs with users, automate refresh and then expand only after the first use case is trusted.
Choose your next step
Use the guidance in the way that suits you.
EaseThat can assess an existing reporting process and identify where Power BI, Tableau, automation or better data modelling will create the most value.