Your data lives in twelve places. None of them agree.
Numbers differ between tools, reports get built by hand from stale exports, and nobody trusts the dashboard. We build pipelines that pull from every system you run, clean what comes in, and load it into one source of truth.
What it costs to leave it as it is.
Siloed data
Each tool has its own version of the customer, the order and the number.
Manual exports and stale spreadsheets
Friday's report built from Wednesday's export.
Definitions that do not match
Revenue means one thing in billing and another in the CRM.
Four steps, run by an operator who has done it before.
With an engineering bench building in the background. Scope and timeline are written into your agreement before we start.
Inventory the sources
Every system, every field, every owner.
Model the schema and definitions
One definition per number, written down.
Build the pipeline
Extract, clean, load, on a schedule, into Postgres.
Validate and monitor
Row counts, freshness and drift checked every run.
The disciplines behind this build.
From the three phases every engagement runs. Tap a card for the diagram; each is explained in full in the playbook.
