Create a solution-aware data model

What this pattern solves

Search intent

Help a Power Platform builder understand when to use Dataverse Create a solution-aware data model, how to implement it, and what mistakes to avoid before using it in a production business app.

Problem

Power Platform teams often need to create a solution-aware data model but lose time inventing structure, ownership, validation, and handoff details from scratch.

What the finished pattern should include

• Tables, columns, relationships, and security assumptions are documented before build-out.
• The pattern works with solutions, environments, and future app or flow extensions.
• Builders know when Dataverse is a better fit than a SharePoint list backend.

Solution

Dataverse design for Create a solution-aware data model:
Solution: BuilderVault Core
Table: bv_RequestPattern
Columns:
- bv_name: Text, required
- bv_status: Choice (Draft, Active, Blocked, Complete, Archived)
- bv_owner: Lookup to User or Team
- bv_priority: Choice (Low, Normal, High)
- bv_patterncategory: Text, default "Dataverse app foundation patterns"
Security:
- Makers can create and update records they own.
- Support owners can read all active records.
- Admins can archive and reassign ownership.
Validation:
- Require owner before Active status.
- Prevent Complete status when required checklist rows are open.
ALM:
- Store table, choices, forms, views, and flows in one managed solution.

Implementation checklist

• Confirm the Dataverse scenario and the business user this pattern supports.
• Identify the data source, owner, security model, and exception path before building.
• Build the smallest reusable version first, then add optional branches or polish.
• Test with realistic data, permissions, edge cases, and handoff expectations.
• Link this pattern to its collection, topic hub, and related implementation patterns.

Step-by-step instructions

• Define the Dataverse table, relationship, role, or solution element for Create a solution-aware data model.
• Add columns, keys, views, forms, and security assumptions to a managed solution.
• Validate the design with a model-driven or canvas app scenario and one automation scenario.
• Document ownership, environment variables, migration notes, and support expectations.

When to use

• Use when a maker or delivery team needs to create a solution-aware data model in a repeatable way.
• Use when the pattern needs to survive handoff from build to support.
• Use when app, flow, data, and governance decisions need to stay aligned.

When not to use

• Avoid when the work is a throwaway prototype with no production path.
• Avoid when an enterprise standard already provides a required implementation method.

Common mistakes

• Skipping ownership details because the builder still remembers how it works.
• Treating environment, permission, and connector assumptions as obvious.
• Publishing without a clear support path for failed saves, failed flows, or access issues.

Troubleshooting

• If users cannot complete the pattern, test permissions and required fields first.
• If support teams cannot maintain it, reduce hidden logic and document the source of truth.
• If performance is weak, review delegation, connector calls, table design, and trigger scope.

FAQ