From the raw click to the number you trust.
Software builds the thing people use. This family builds the plumbing underneath it. The tracking, the pipelines, the warehouse and the models that turn ten systems of record into one answer. It sits apart from the AI agents in Run for a simple reason: Run operates something day to day, DAT lays the track it runs on.
Ten deliverables, five stages, one direction
Every one of the ten sits somewhere on this flow. Hover a stage to see what happens there and which pieces we build. The rest dims, and the flow picks up.
Sources
Apps, sites, CRMs, ad platforms.
Ingest
Scheduled, incremental, retried.
Warehouse
One store everyone reads from.
Model
Rows become revenue, retention, risk.
Serve
Where people and systems read it.
Data work only pays off end to end. A perfect dashboard on top of an untracked checkout is decoration, and a warehouse nobody serves from is a bill. We take responsibility for the whole line, from the first event fired in your product to the number a director reads on a Monday, and you can buy it a stage at a time.
Ten deliverables live on this flow. Hover any stage to hold it.
Four steps, and step one is always the ugly one
Open the tables
Before any quote, we read your actual data. Assume it is worse than you think: duplicate customers, three definitions of "active", a column called status_2_final. Finding that early is the point.
Agree the definitions
What counts as a signup, an order, a churn. Written down and signed off, because every downstream argument starts here.
Build the line
Ingest, warehouse, models and serving layer, with tests on the models and alerts on the loads. Shipped stage by stage, not in one drop.
Watch it
Freshness, cost and failed runs monitored monthly. Sources change without telling you. Someone has to notice.
Six more Build families
Which stage is leaking?
Tell us the number nobody trusts, or the report someone still rebuilds by hand every month. Thirty minutes, and you leave with the map either way.
Book a 30-minute call