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Model-driven Apps


Part ofMicrosoft Power PlatformMicrosoft Power Platform·Led by a certified solution architect

The problem

The process has real structure (stages, roles, relationships, rules) and a hand-built app or spreadsheet can't keep up. You need something that enforces the model, scales cleanly, and doesn't fall apart when the team or the data grows.

My approach

I model the data and process properly in Dataverse first, then let the app follow: business rules, security roles, and views that reflect how the organisation actually works, with room to grow without a rebuild.

When model-driven is the right call

When the data has structure worth respecting (related tables, defined stages, different roles seeing different things), a model-driven app gives you consistency the process can lean on. The model does the enforcing, so the team doesn’t have to remember the rules.

The architecture underneath

Because model-driven apps sit directly on Dataverse, the design decisions that matter happen at the data layer: table relationships, keys, security roles, and business rules. I get these right first (this is architect-level territory), so the app is fast, correct, and safe to extend later.

Security and governance by design

Dataverse security roles, environment strategy, and DLP are part of the build, not an afterthought. People see what they should, the data stays protected, and the whole thing is documented for handoff.

Where it usually connects

DataverseDataverse
Power AutomatePower Automate
Power BIPower BI

The outcome

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