Building a RevOps infrastructure for Rentman

Rentman just landed fresh funding and were ready to level up their data game. They had the tools (BigQuery was already in place), but something wasn't clicking. Their data setup was holding them back instead of pushing them forward.

Thomas Varekamp
Drilldown
Company
Rentman
Location
The Netherlands
Employees
51-200
Industry
SaaS

Picture loading a dashboard and waiting 10 minutes for it to show up - that's what Rentman's team was dealing with.

Their data warehouse was like an overstuffed closet - things were in there somewhere, but good luck finding them. Different teams were looking at different numbers, and nobody was quite sure which ones were right. Not exactly ideal when you're trying to grow fast.

We teamed up with their CTO and rolled up our sleeves:

  • Did a deep clean of their BigQuery setup (out with the old, organize the new)
  • Split things into development and production environments (no more breaking things in live systems)
  • Built a data model that actually made sense for their business
  • Brought in Mage.ai as a data orchestration to make data processing smooth and collaborative
  • Created fresh dashboards that teams would actually want to use

We didn't just guess what they needed - we worked closely with their CTO to make sure everything fit their strategy.

"We finally feel confident in our insights, and they’ve become part of our daily rhythm. There’s a real sense of calm now that every decision is backed by solid, trustworthy data."

The transformation

  1. Dashboards now load instantly (goodbye, 10-minute coffee breaks)
  2. Every team (RevOps, Sales, Marketing, Customer Success) got dashboards they could actually use
  3. Everyone finally started working with the same numbers
  4. Teams could actually make decisions based on data, not gut feelings

Rentman went from having a data warehouse they avoided to one that drives their business forward. What's particularly exciting is how this has changed their company culture - teams are now making decisions based on real insights, not hunches. If you're sitting on a data warehouse that's more frustrating than helpful, we should talk. Sometimes you don't need new tools - you just need to make the ones you have work better.