Work
A look at the kind of question public data can already answer when it is joined up properly. Each case is built end to end and honestly sourced.
Neighbourhood dashboard: know a location before you commit to it
Every location carries a public signature: who lives nearby, how the housing stock is shifting, who else is competing for the same customers. We built a per-business dashboard that turns that signature into a working tool: a real map with catchment rings at walking and driving distance, housing and tenure trends, modelled population growth, and a competitor benchmark against nearby businesses in the same category. It runs on public registers (BAG building data, CBS neighbourhood statistics) joined with business location data, and is delivered as a live, recurring product, not a one-off report.Read the full case study: Neighbourhood dashboard
RVO subsidy showcase: sixteen years of government grants, made explorable
The Dutch government publishes every subsidy grant it awards, but as raw open data it stays unread. We turned sixteen years of RVO grant records, amounts, sectors, and recipients into a live, explorable dashboard with no backend at all: the browser queries the public dataset directly. It is a small showcase of what public data can do when someone actually builds the last mile.Read the full case study: RVO subsidy showcase
Tender dashboard: who is winning public contracts, and where the openings are
Dutch and EU public tenders and awards are public record, but scattered across sector codes, deadlines, and buyer history that nobody has time to track by hand. We built a dashboard on top of EU tender data that surfaces open notices by sector, award history, and spend trends per buyer. The open notice list is free to browse, since the underlying data already is.Read the full case study: Tender dashboard
Welkomstbrief: reaching new residents before anyone else does
When a home changes hands, the new owner spends money in their first months there: furniture, renovation, a cleaner, a gardener, a local tradesperson. That window is short and invisible to most local businesses. We join recent home-sale records with business location data so a business can see, on a map, which recently-sold homes sit inside its own service area.Read the full case study: Welkomstbrief