Read the environment
Inspect table and relationship metadata and confirm the application identity’s assigned security roles.
- Receives
- Dataverse environment and table definitions
- Produces
- Permitted table operations
Microsoft Dynamics 365 integration.
Connect customer and revenue processes through the Dataverse data model underlying relevant Dynamics applications.
Let’s connectDataverse records with environment specific rules
Treat the Dataverse environment, table schema and application identity as part of the connection contract.
Map the change
Resolve record identifiers and relationship references before building the relevant OData operation.
- Receives
- Source record and target schema
- Produces
- Validated Dataverse request
Reconcile outcomes
Record the result and verify the intended business state after platform rules and automation run.
- Receives
- API response and row state
- Produces
- Reconciled customer record
Step 1 of 3
Inspect the data contract.
Select a field to examine its owner, permitted changes and conflict handling. Clear ownership keeps updates consistent across systems.
| Field or object | Accountable owner | Mapping and control |
|---|---|---|
| Platform administrator | Distinguishes production from test environments. | |
| Dataverse | Mapped from the actual environment metadata. | |
| Security administrator | Restricts tables and operations to the required scope. |
Resolve the important decisions.
Row and table access
Permission to call the API does not imply access to every row. Validate the effective security model.
Concurrent updates
Choose a supported concurrency approach when two systems may edit the same record.
Validate before handover.
Select the scenarios to discuss with your implementation team.
0 of 3 selected
Test an example workflowPlatform documentation
A connection with a clear purpose.
Dataverse Web API using OData operations, with application identity and table permissions defined for the integration.
We begin by identifying the business process this connection supports. Source ownership, permissions and the expected update behavior are documented before data starts moving.
The data behind the workflow.
AccountsContactsLeadsOpportunitiesDataverse tables
Object and field availability depend on the platform edition, API permissions and the agreed use case. Mapping defines which system owns each value and how changes are reconciled.
Decisions worth making early.
Scope & access
Validate table schema and environment specific customizations before mapping records.
Data & behavior
Align security roles and application access with the minimum required business scope.
From mapping to a maintainable connection.
Discover the workflow
Agree the trigger, source of truth, receiving system and the person accountable for exceptions.
Validate the contract
Confirm permissions, object mappings, identifiers, consent and API behavior using a representative test environment.
Test real scenarios
Exercise expected updates, duplicates, missing data, access failures and vendor rate limits.
Document and enable
Hand over field mappings, credentials ownership, monitoring guidance and recovery procedures.
The engineering detail.
Read the contracts, controls and failure behavior behind a maintainable implementation.
What could work better, together?
Tell us where your operations are today. We’ll help you see what comes next.