Dashboards
Dashboards nobody opens, or where every team gets a different number. That's rarely the charts and almost always the data underneath. We build dashboards on your data warehouse, with the same definitions as the rest of your organisation.
What we often hear
- Hardly anyone opens our dashboards
- Every team gets a different number from the same dashboard
- For every new question, someone has to build us a report
- Nobody knows how a number in the dashboard is calculated
What we do
Lightdash, managed by us
We run and maintain Lightdash on your warehouse, on the same semantic layer as everything else. You don't have to install anything.
Roles and permissions
Who sees what, per team or per role.
The first dashboards
For management, marketing and finance, built around the questions they ask every week.
Working sessions
Two sessions in which your team learns to ask its own questions and build its own reports.
Your own BI tool
Already on Power BI, Tableau or Looker Studio? We connect it to the same model.
Growing with you
We add new questions and data sources, so your dashboards grow with your business.
What we work with
The tools we use for this. Which ones we pick depends on your setup.
“A very pleasant collaboration with Ivo and Freek for setting up Google Analytics and building a Looker Studio/Data Studio dashboard! Always a quick response via email and willing to brainstorm on website/analytics issues.”
Eva HekmanNEMO Sciencemuseum01 / 02
Frequently asked questions
Lightdash or Looker Studio?
Both work. Looker Studio is free, but every report calculates its own numbers and keeping them up to date is manual work. That's why we recommend Lightdash on your warehouse, which we run for you: it uses the definitions from your model, so every dashboard shows the same number, and you control per role who sees what.
Can my team build its own dashboards?
Yes. The definitions live in the model, so anyone with access can build a chart without the numbers drifting.
How to buy it
We work in three steps: first a plan, then the build, then maintenance.
Blueprint
Which data sources, model and setup fit the questions you have.
Build
Your data in one place, with dashboards and an AI layer as options.
Maintenance & growth
Pipelines and models stay correct when your data sources change.
Want to know what this means for your situation?