Data modeling captures how your business actually works, and therefore how information is structured in your CRM.
It's a combination of technical preparation and business logic questions, aimed at making the CRM instance a source of clarity.
We spend time upfront clarifying your business flow before building anything. Getting the model right means your systems can evolve with your business instead of fighting against it.
New to data models? Twenty has a good introduction.Data Model — Twenty DocumentationWalk through realistic scenarios with mock data to catch mismatches before they're built into the system.
A required step before integrating with other systems or writing automations. Changing API contracts later means updating every integration, breaking automations, and potentially losing historical data.
The data model also defines the UI of the Twenty instance — so you understand it better simply by using it.
Before the Twenty instance goes live, historical data moves across from older CRMs, spreadsheets and the like. A correct data model ensures nothing is lost in transition.
A fully configured Twenty CRM instance, ready to validate against real scenarios.
These items need further investigation and are scoped on their own.
From first questions to a data model that's ready to build on.
A conversation about a single field often turns into a lengthy discovery, so chat suits it better than meetings.
This is the stage where we ask a lot of questions about your business and tech. It helps us understand your business, plan for meaningful reporting, improve on the old CRM, and make sure nothing is missed that would force a reimplementation later down the line.
See a demo data modelBuilt for a real estate business, live in Twenty.Every integration, automation and dashboard sits on the data model. Let's map yours before anything depends on it.