CRM migration
Field-level mapping, validation, and rollback between DinamikCRM and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
DinamikCRM
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
8 of 10
objects map 1:1 between DinamikCRM and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from DinamikCRM to Microsoft Microsoft Dynamics 365 Sales is a schema-translation migration. DinamikCRM organizes data around a per-account module graph with no published bulk export endpoint, while Microsoft Dynamics 365 Sales uses the Lead-Contact-Account-Opportunity model built on Dataverse. We begin every engagement by discovering the live module list and field definitions for the specific account, since DinamikCRM's architecture allows customers to create and modify modules freely. No two DinamikCRM accounts share an identical schema. We export standard modules (Contacts, Companies, Leads, Activities) through paginated API calls, map them to their Dataverse equivalents, and handle custom module translation during the scoping phase. Module-level automation rules, notification triggers, and field-level validations do not export via the API as data. We deliver a written inventory of these for the customer's admin to rebuild in Dynamics 365 workflows or Power Automate post-migration. Owner records migrate by email lookup against the destination tenant's user directory.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Source platform
DinamikCRM platform overview
Scorecard, SWOT, gotchas, and pricing for DinamikCRM.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a DinamikCRM object lands in Microsoft Dynamics 365 Sales , including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
DinamikCRM
Contact
Microsoft Dynamics 365 Sales
Contact
1:1DinamikCRM Contact records map directly to Microsoft Dynamics 365 Sales Contact. Standard fields (full name, email, phone, address, company link) transfer to the Dataverse contact entity via the Web API. We resolve the parent Company reference during import so that each Contact is linked to the correct Account record. Any DinamikCRM custom fields on the Contact module map to custom contact fields (new_customfield__c) that we pre-create in Dataverse before migration.
DinamikCRM
Company
Microsoft Dynamics 365 Sales
Account
1:1DinamikCRM Company records map to Microsoft Dynamics 365 Sales Account. The accountname and website fields transfer directly. Account is the parent of Contact and the lookup target for Opportunity (WhatId). We import Accounts first in dependency order so that AccountId is available at Contact and Opportunity insert time, avoiding orphaned records.
DinamikCRM
Lead
Microsoft Dynamics 365 Sales
Lead
1:1DinamikCRM Lead records map to Microsoft Dynamics 365 Sales Lead. Lead status values from DinamikCRM map to Dynamics 365 leadstatus optionset integers; mismatches are corrected in a pre-migration transform step. Lead scoring or grade fields from DinamikCRM migrate to custom numeric fields on the Lead entity for reporting consistency.
DinamikCRM
Deal
Microsoft Dynamics 365 Sales
Opportunity
1:1DinamikCRM Deal records map to Microsoft Dynamics 365 Sales Opportunity. The deal value and stage name transfer to estimatedvalue and stagecode respectively. We resolve the parent Contact (潜在的客户) and Account references to populate the Opportunity WhatId and CustomerId fields. Closed-won and closed-lost outcomes from DinamikCRM map to Microsoft Dynamics 365 Sales Process stage outcomes.
DinamikCRM
Pipeline
Microsoft Dynamics 365 Sales
Sales Process + Stage
lossyDinamikCRM pipeline stages map to a Microsoft Dynamics 365 Sales Process with corresponding stagecode values. Each stage from DinamikCRM becomes a stage in the sales process; stage probability percentages transfer to stageprobability on the ProcessStage entity. We configure the Sales Process in Dataverse during the schema design phase before any Opportunity data loads.
DinamikCRM
Activity
Microsoft Dynamics 365 Sales
ActivityPointer / Task / Email
1:manyDinamikCRM Activity records cover calls, emails, meetings, and tasks under a single object type. We split them at migration time by activity type identifier: email-type activities become EmailMessage records linked to an ActivityPointer; call and task activities become Task records with the appropriate TaskSubtype; meeting activities become Event records. All activity records resolve their Regarding (objectid) to the correct Contact, Account, or Opportunity in the destination.
DinamikCRM
Appointment
Microsoft Dynamics 365 Sales
Appointment (Event)
1:1DinamikCRM Appointment records map to Microsoft Dynamics 365 Sales Event (Appointment). Start time, end time, location, description, and attendee list transfer to the corresponding Event fields. Attendees resolve to Contact or User records via email lookup, creating EventRelation records to preserve the attendee relationship in Dynamics 365.
DinamikCRM
Invoice
Microsoft Dynamics 365 Sales
Invoice
1:1DinamikCRM Invoice records with line items, totals, and status map to Microsoft Dynamics 365 Sales Invoice. The customer account and product line items resolve to existing Account and Product2 records in the destination. Financial fields are flagged during scoping for customer validation since tax, currency, and discount logic may differ between the two platforms and require post-migration review.
DinamikCRM
Custom Modules
Microsoft Dynamics 365 Sales
Custom Entities
1:1DinamikCRM custom modules (a frequent pattern in this platform) are discovered during the scoping phase by enumerating the live module list via the API discovery endpoint. Each active custom module maps to a custom Dataverse entity (new_modulename) with fields translated to matching Dataverse types. Custom entity relationships with standard objects (Contact, Account, Opportunity) are pre-configured as Dataverse lookup relationships before data migration begins. This step adds time to scoping for accounts with more than five active custom modules.
DinamikCRM
User / Owner
Microsoft Dynamics 365 Sales
User
1:1DinamikCRM user accounts and record owners map to Microsoft Dynamics 365 Sales User records by email address lookup. Owners assigned on Contact, Account, Opportunity, and Activity records resolve to the corresponding Dynamics 365 UserId. Any DinamikCRM owner without a matching user in the destination tenant is placed in a reconciliation queue for the customer's admin to provision before record import resumes.
| DinamikCRM | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Sales Process + Stagelossy | Fully supported | |
| Activity | ActivityPointer / Task / Email1:many | Fully supported | |
| Appointment | Appointment (Event)1:1 | Fully supported | |
| Invoice | Invoice1:1 | Fully supported | |
| Custom Modules | Custom Entities1:1 | Mapping required | |
| User / Owner | User1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
DinamikCRM gotchas
Custom module schema varies per account
API documentation does not disclose rate limits
No documented bulk export endpoint
Module-level business logic may not transfer
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
Module discovery and scoping
We connect to the DinamikCRM API and enumerate every active module and field definition for the specific account using the platform's discovery endpoints. We extract record counts per module, identify custom modules and their relationships to standard objects, and document any module-level business logic or automation rules encountered. This phase produces the migration scope document that defines the exact schema we will build in Dynamics 365 Dataverse and the extraction strategy for each object type.
Schema design in Dynamics 365 Dataverse
We design the destination schema in Dataverse to match the discovered DinamikCRM modules. This includes provisioning standard entities (Contact, Account, Lead, Opportunity, Task, Event, EmailMessage), creating custom entities for any DinamikCRM custom modules, configuring entity relationships (lookup, one-to-many), creating option sets for picklist fields, and designing the Microsoft Dynamics 365 Sales Process with stage values corresponding to the DinamikCRM pipeline. Schema is deployed to a Dynamics 365 Sandbox environment first for validation before any production migration begins.
Sandbox migration and reconciliation
We run a full migration into the Dynamics 365 Sandbox using production-like data volumes extracted from DinamikCRM. The customer's administrator reconciles record counts against the source system, spot-checks 25-50 records per object type for field-level accuracy, and validates that custom module data landed in the correct Dataverse entities. Schema corrections, option set mapping fixes, and relationship adjustments happen during this phase. Production migration does not begin until the sandbox sign-off is received.
Owner and user provisioning
We extract every distinct DinamikCRM user referenced as a record owner and match them by email address against the destination Dynamics 365 tenant's user directory. Users without a matching record are placed in a reconciliation queue. The customer's Dynamics 365 administrator provisions any missing users in the destination tenant before record import resumes. This step is a prerequisite because OwnerId is a required reference on most standard entities in Dynamics 365.
Production migration in dependency order
We run the production migration in strict record-dependency order: Accounts (from Companies), Contacts (with AccountId resolved), Leads, Opportunities (with AccountId and OwnerId resolved), Activities (Tasks, Events, EmailMessages via Dataverse Web API), Invoices, and custom entity data last. Each phase emits a reconciliation row-count report before the next phase begins. We monitor for HTTP 429 responses on the DinamikCRM API and apply exponential backoff dynamically. Custom module extraction runs as a separate phase after standard objects are validated, using the pre-created custom Dataverse entities.
Cutover, delta sync, and automation handoff
We freeze DinamikCRM writes during the cutover window, run a final delta migration to capture any records modified during migration, then mark Dynamics 365 as the system of record. We deliver the DinamikCRM automation and business logic inventory document to the customer's administrator for rebuild in Power Automate or Dynamics 365 workflows. We support a one-week hypercare window for reconciliation issues. We do not rebuild DinamikCRM module-level automations as Power Automate flows within migration scope; that work is a separate engagement or an internal admin task.
Platform deep dives
DinamikCRM
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across DinamikCRM and Microsoft Dynamics 365 Sales .
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
DinamikCRM: Not publicly documented.
Data volume sensitivity
DinamikCRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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