"It depends" is the honest answer, and it's the correct one. Anyone quoting you a firm number before seeing your data is guessing. What we can tell you is what actually pushes a BI project toward the low end or the high end of a budget, so you know what you're really paying for before you ask for a quote.
Licensing cost (the recurring part)
Power BI Pro runs about $14/user/month, Premium Per User about $24/user/month. Tableau runs higher: Viewer around $15/user/month, Explorer around $42/user/month, Creator around $75/user/month. Tableau's per-tier seat minimums (5 for Explorer, 100 for Viewer) can push a small team's effective minimum spend past $1,700/month before anyone has built anything. This is the cost that keeps recurring for as long as you run the platform, on top of whatever you pay to build it.
The labor cost is really a data cost
The line-item most people expect to price out (hours to build the dashboard) is usually the smallest part of the real cost. What drives the total up or down is almost always the state of the data underneath it: how many source systems it lives in, how consistent it already is, and whether anyone has ever defined a single agreed-upon version of each metric. Two projects that look identical on the surface ("we need a sales dashboard") can be wildly different projects once you look at what's actually feeding them.
What else moves the price
- Governance requirements. Row-level security, deployment pipelines, and access control add real time, and are worth it the moment more than a handful of people depend on the numbers being right.
- Number of source systems. One clean export is a different project than reconciling five disconnected tools that don't agree with each other.
- Whether you're licensing per seat at all. A custom-built AI-powered dashboard is a different cost model entirely: you pay to build it once and own it outright, with no monthly user subscriptions stacking up as your team grows.
The bottom line
Any specific number you see quoted online, ours or anyone else's, is an estimate built on assumptions about your data that may not hold for your business. The fastest way to get a real number is a short conversation about what you're actually working with. We'll look at your data and your goals and give you an honest quote before you commit to anything.