Four numbers you trust beat forty you do not.
Most reporting is a Monday morning spent exporting CSVs into a spreadsheet that is wrong by Wednesday. We build the pipeline once, the dashboard on top of it, and the report that lands in your inbox every Monday at 7am without anyone doing anything.
Monday 7am
the report arrives before you do
One source
a warehouse every dashboard reads from
Yours
data in your own Postgres or BigQuery, never a vendor lock-in
This is the whole Monday report.
Twelve months of sample data for a repair business whose marketing budget barely moves: what it earned, what booked, what a booking cost to win, and who did not turn up. Four numbers, each with a written definition further down the page.
Revenue
Higher is better
$56,400
+$1,300
vs Aug
Low $36,900 in Dec · high $57,900 in Jul
Booked jobs
Higher is better
181
+5
vs Aug
Low 124 in Dec · high 189 in Jul
Cost per booked job
Lower is better
$40
+$2
vs Aug
Low $34 in Jul · high $55 in Dec
No-show rate
Lower is better
6.1%
−0.7 pts
vs Aug
Low 5.8% in Jul · high 9.6% in Dec
Hover or use the arrow keys on a chart to read any month.
Add a dashboard to a package · From $2,800The twelve months as a table
What is in it
Business dashboards
Sales dashboards
Customer analytics
Inventory reports
Revenue reports
Employee performance dashboards
Marketing analytics
Automated reports
Data warehouses
ETL / ELT pipelines
Business intelligence
A revenue dashboard for a three-location clinic
Appointments, no-shows, revenue per provider and per marketing source. One screen, refreshed hourly.
- 1
Nightly pull from the practice system and Stripe
- 2
Warehouse in Postgres
- 3
Dashboard with per-location filters
- 4
Monday email to the owner and each location lead
Three ways to buy it
Every number on that screen has one meaning, written down.
Before we build the first dashboard you sign off on a page like this one. It is the difference between a report people argue with and a report people act on.
Signed off before the first dashboard is built, and changed only in writing.
Pricing
From $2,800
A dashboard on data you already have from $2,800. Warehouse plus pipelines from $8,000.
Automated reports are included in Operator and Full Desk. Pipeline monitoring under any managed plan.
Questions
Metabase or Looker Studio for most businesses, because they are cheap and your team can build their own charts. Power BI if you live in Microsoft 365.
Platforms we use here
Postgres
GCP
QuickBooks
Shopify
HubSpot
Google Workspace
Microsoft 365
AWS