From chaotic CSVs to dashboards that actually get used to decide. With a reliable pipeline behind every number — not a sheet someone updates by hand.
A dashboard gets used when it answers the question someone has this week. If it shows twenty indicators and none changes a decision, it’s expensive decoration.
When everyone calculates their own way, the meeting is spent arguing whose number is right. One definition, in one place, ends that.
An indicator assembled by hand arrives after the decision was made. Automating the load is what makes it actionable.
What will be decided with this, and how often. The indicators come from there — never the other way around.
The load runs on its own, with validations that fail loudly if the source data changes shape.
Written, versioned and visible from the dashboard. It’s what prevents the meetings about who’s right.
If the data has coordinates, the map usually says more than the table. We cross public records over the map and paint what matters.
What we use
Real projects from this service.
108,000 parcels of one county with an abandonment score and CSV export.
See the card ↗From hot water and the geological fault to the parcel, on official data.
Real NASA POWER irradiance and a 25-year cash flow for any coordinate.
See the card ↗Almost never at the beginning. Most organizations get plenty of value from a well-built pipeline over the sources they already have. The warehouse is justified when volume or the number of sources demands it — not before.
The load doesn’t depend on anyone remembering. The pipeline runs alone, validates the source data and alerts if something changed shape. The spreadsheet is excellent for exploring; bad as a shared source of truth.
Yes — it’s where we’ve extracted the most value: power markets, cadastre, solar irradiance, fuel prices. It’s available, almost nobody exploits it, and crossing sources tends to reveal what none shows on its own.
[ Got something that should be running on its own? ]
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