The sales pitch for Tableau is hard to resist. Interactive dashboards, drag-and-drop logic, beautiful visuals. After six months of using it for monthly financial reporting, the picture is more complicated.
The data preparation problem
Tableau visualises data well. It does not clean data. Getting general ledger exports into a format Tableau handles without errors took roughly 40% of my initial setup time. Tools like Alteryx or even Power Query in Excel were needed upstream before Tableau could do anything useful.
Where it earns its cost
Variance analysis across multiple cost centres became genuinely faster. A chart that previously took 90 minutes in Excel to format and update now refreshes in under two minutes when connected to a live data source.
The ability to let non-finance colleagues filter reports themselves reduced back-and-forth requests noticeably.
What I would do differently
Start with Power BI if your organisation already uses Microsoft products. The integration with Excel and SharePoint reduces the data pipeline problem significantly. Tableau makes more sense when your data lives outside the Microsoft ecosystem.
The broader lesson: no visualisation tool solves a messy data problem. Fixing the source data structure first determines whether any dashboard tool delivers value or just creates prettier confusion.