Decision BI Dashboard: 2026 Implementation Cost Breakdown (Amsterdam)

The verdict in three sentences

In 2026, an executive committee can drop Excel exports: a decision BI dashboard is implemented for 15,000 to 45,000 EUR net with Power BI or Metabase, or 30,000 to 60,000 EUR as a headless custom build. The heaviest line item is not the visualization but the data — ETL and modeling account for roughly 40% of the budget. The payoff is concrete: each manager recovers 8 h/month of manual reporting and leadership decides on current numbers, not tables three weeks old.

Off-the-shelf tool or custom: the real trade-off

The question is not "which tool is best" but "where does the complexity of my data sit". Power BI or Metabase cover 80% of steering needs at low cost. Custom only makes sense if you need product integration, white-label or advanced real-time.

For most leadership teams, Power BI or Metabase are more than enough. Custom becomes relevant beyond a certain level of user-experience or integration need.

Where the budget actually goes

Executives systematically underestimate the cost of data and overestimate the cost of charts. Here is the typical breakdown of a 2026 BI project.

A BI project that fails almost always fails on the data, never on chart color. Investing in clean ETL is the best ROI insurance.

Mini case study

Sophie, CFO of a 240-person services group in Amsterdam, consolidates 6 Excel files from 6 subsidiaries every month. Time spent: 3 days/month for her and her team, roughly 4,500 EUR/month. She deploys Metabase with an ETL on PostgreSQL: 28,000 EUR net setup, 120 EUR/month license. Result: automatic daily consolidation, 8 h/month saved per manager across 9 managers, and continuous closing. The project pays back in about 7 months on recovered reporting time alone.

FAQ

Power BI or Metabase: which one? Power BI if you are already in the Microsoft ecosystem and want rich leadership reports; Metabase if you want an open-source, agile solution easy to open to teams. Both cost 12,000 to 35,000 EUR to set up.

Why is ETL so expensive? Because your data is scattered, inconsistent and changing. Cleaning, reconciling and automating flows accounts for about 40% of the budget and drives the reliability of every metric.

How long for a first dashboard? Plan 4 to 10 weeks depending on the number of sources and metric complexity. A first steering dashboard can ship in 4 to 6 weeks if the data is accessible.

Do we need a full-time data engineer? Not at first. The initial project is run by a vendor; then a few hours of maintenance per month suffice while sources stay stable. An internal role is justified beyond twenty or so active dashboards.

Is custom worth it? Only if you need white-label, product integration or a very specific experience. For classic internal steering, an off-the-shelf tool offers far better cost/value.

Let's scope your project. Tell us your data sources and key metrics: we will price a Power BI/Metabase solution (15,000-45,000 EUR net) or a custom dashboard. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.