/ Migrations
Get off the platform everyone is afraid to touch.
We run data migrations as a controlled engineering discipline — parallel runs, automated reconciliation, staged cutovers, and a rollback at every step. The same playbook our founders ran modernizing the data platforms at Vivint Smart Home and Ancestry. Pick your path:
01Why these don't blow up
Boring migrations, by design.
Most migrations fail because the old system encoded years of business rules nobody documented. Ours don't, because we assume that and engineer around it.
Archaeology first
We map every job, stored proc, and spreadsheet that depends on the old system before designing the new one.
Parallel-run reconciliation
Old and new run side by side with automated comparison until the numbers match — aggregates and distributions, not just row counts.
Staged cutover
Subject area by subject area, highest pain first. Each slice is independently valuable; none bets the business.
Reversible at every gate
Every cutover ships with a rehearsed, scripted rollback. The evidence decides the date, not the calendar.
→ Start a project
Staring at a migration nobody wants to start?
The first step is a 2–3 week fixed-fee diagnostic: a dependency map and a costed, phased plan you can take to your steering committee — yours whether or not we run the migration.