The cheapest time to get it right
Data model mistakes are cheap to fix in a design document and ruinous to fix after two years of data and automation have been built on top. The wrong object relationship, an overloaded field, a status model that cannot express reality: each one calcifies as the org grows around it.
By the time the pain is obvious, unwinding it means touching everything that depends on it.
Sign off the model before building
We sign off the data model and integration map before a line of code is written. That means agreeing object relationships, sharing and ownership, and how the model expresses the real process, then pressure-testing it against the awkward cases before it is set in concrete.
This architecture-first discipline is why we are often the first partner to resolve orgs that previous implementations left broken: the root cause is usually a model that was never signed off, just started.
Design for the org you will have
A good model anticipates the volume, the reporting, and the integrations you will have in two years, not just the demo next week. It leaves room to grow without a rebuild. Getting this right up front is unglamorous and is the single highest-leverage decision in an implementation.
Key takeaways
- Data model mistakes are cheap in design and ruinous after two years of dependencies.
- Sign off object relationships, sharing, and integration map before building.
- Design for the org you will have in two years, not just the first demo.