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Dataverse

Service

Dataverse & Solution Architecture


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

The problem

Power Platform spreads fast. Without a deliberate foundation you end up with sprawling environments, ungoverned automations, security no one can explain, and apps that can't be safely changed. The demo worked; the system didn't.

My approach

I design the foundation first: a clean Dataverse data model, an environment and ALM strategy (dev/test/prod, solutions, release process), security roles, and DLP, so everything built on top is fast, safe, and maintainable. This is the architect-level work most consultants skip.

The part that decides whether the rest holds up

Most Power Platform problems trace back to a foundation nobody designed. I lead with the architecture: the Dataverse tables, relationships, and keys; the environment strategy that separates dev, test, and production; the solution and release process that lets changes ship safely; and the security and DLP policies that keep the platform a safe place to build.

Migrating what you already have

Legacy data in SharePoint lists, Excel, or Access rarely maps cleanly into a well-structured Dataverse model. I treat that migration as an architecture task (shaping the target model first, then moving the data into it) so you don’t carry old problems into the new system.

Governance as a feature, not friction

Environment strategy, DLP, and Dataverse security roles are designed to make the right thing easy and the risky thing hard. Documentation and a clear handoff mean your team can govern it after I’m gone.

Where it usually connects

Power AppsPower Apps
Power AutomatePower Automate
Power BIPower BI

The outcome

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