A dashboard people actually open
For when your data already sits somewhere usable and you mostly want something to finally come out of it that people look at. No warehouse project needed: I build on the source you have. Most dashboards don't die on technology, they die on use — so the adoption session is in scope by default.
There's a dashboard. Nobody opens it. Or: the data sits in your system, but 'how are we doing' still means calling Finance.
Dashboards built around the decisions your team actually makes — on the source you already have.
What you get
The decision inventory
The decisions that come back every month — every dashboard view traces to one of them
A clean model on your existing source
A documented data model on the source you already have — no warehouse project required
A definition list: one definition per figure, so every number traces back
The dashboards
1–3 dashboards with drill-down into the detail the questions are about
Built iteratively — you look along during the build, no single big reveal
Adoption
A session with the users, in their own calendar — a manual by email doesn't work
A data warehouse or source integration — if the sources themselves are the problem, I'll say so in week 1 and point to Your data warehouse instead of building on sand
Watching the data and its quality over time — that's Data & quality observation
How it runs
Week 1 — Mapping the decisions
Not 'which chart do you want' but 'which decision do you make again every month'. The dashboard gets built around that.
Week 1–2 — Model on your source
A clean data model on what you already have, with one definition per figure. No warehouse project required.
Week 2–3 — Build and sharpen
The dashboards, with drill-down into the detail the questions are about. You look along as it goes — no single big reveal at the end.
Closing — Adoption
A session with the people who'll use it, in their own calendar. A manual by email doesn't work.
Where this fits in the path
Frequently asked questions
A dashboard people actually open starts from €7,500 excl. VAT. The final price depends on the scope and is fixed before the work starts — no open end.
The lead time is 2–3 weeks, with a scope that is fixed up front.
You get: An inventory of the decisions that come back every month; A clean data model on your existing source; 1–3 dashboards with drill-down into the detail; A definition list, so every figure traces back; An adoption session with the users — not a manual by email.
Out of scope: A data warehouse or source integration — if the sources themselves are the problem, I'll say so in week 1 and point to Your data warehouse instead of building on sand; Watching the data and its quality over time — that's Data & quality observation. That is what keeps the price fixed and expectations clear.
Not sure which package fits?
Book a free half-hour call. Then you'll know — and you're committed to nothing.
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