CRM migration
Field-level mapping, validation, and rollback between Data Team DDS and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Data Team DDS
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
13 of 13
objects map 1:1 between Data Team DDS and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
48–72 hours
Overview
Data Team DDS and Dynamics 365 Sales share a common CRM object model — contacts, accounts, leads, opportunities, and activity records — but they diverge on custom field handling, licensing tiers, and the relationship model between business partners. Dynamics 365 Sales stores contacts under accounts (AccountId lookup) and uses the Opportunity table for deals, with stage values scoped to business process flows. The source platform may store custom fields as flat properties on records; Dynamics 365 enforces a 15-custom-table soft limit on Sales Professional, making it critical to audit custom field count before migration. FlitStack AI reads the Data Team DDS schema via its API, generates a field-level mapping plan that distinguishes direct field-to-field mappings from value-mapped pick-lists and transformed dates, and executes the migration using Dynamics 365's Dataverse Web API. We preserve original create and modify timestamps as custom datetime fields since Dynamics 365 sets CreatedOn at migration time. Workflows, automation rules, and assignment rules do not migrate — we export their definitions as JSON for your Dynamics 365 admin to rebuild in Power Automate or classic workflows. A delta-pickup window runs 24–48 hours after initial load to capture in-flight changes during cutover.
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
Data Team DDS platform overview
Scorecard, SWOT, gotchas, and pricing for Data Team DDS.
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 Data Team DDS 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.
Data Team DDS
Contact
Microsoft Dynamics 365 Sales
Contact
1:1Direct 1:1 map. Dynamics 365 Contact requires a primary AccountId — contacts without a company association in Data Team DDS are attached to a default placeholder Account record or routed to the queue configured at migration time. This ensures all contacts maintain referential integrity within the Dynamics 365 environment, preventing orphaned records and maintaining proper relationship hierarchies across accounts, contacts, and related opportunities.
Data Team DDS
Company / Account
Microsoft Dynamics 365 Sales
Account
1:1Direct 1:1 map. Data Team DDS company records map to Dynamics 365 Account. Parent-child hierarchies use the ParentAccountId field. Multi-branch structures in Data Team DDS collapse to a single parent chain in Dynamics 365, so circular references are flagged before the migration run.
Data Team DDS
Lead
Microsoft Dynamics 365 Sales
Lead
1:1Direct 1:1 map. Lead Status and Lead Quality score pick-list values require value mapping if Data Team DDS uses custom status labels. We preserve the original lead source and score as custom fields since Dynamics 365 lead scoring is native only on Enterprise/Premium tiers.
Data Team DDS
Deal / Opportunity
Microsoft Dynamics 365 Sales
Opportunity
1:1Direct 1:1 map. Dynamics 365 Opportunity requires AccountId and uses a StageName pick-list scoped to a BusinessProcessFlow. We create a separate business process flow for each Data Team DDS pipeline so stage values map cleanly without cross-contamination between sales processes.
Data Team DDS
Pipeline
Microsoft Dynamics 365 Sales
Business Process Flow + Stage
1:1Each Data Team DDS pipeline becomes a named Business Process Flow in Dynamics 365 Sales. Stages within the pipeline map to StageName pick-list values on the Opportunity record tied to that flow. Probability and forecast category are re-applied per stage based on your Dynamics 365 configuration.
Data Team DDS
Task / Activity
Microsoft Dynamics 365 Sales
Task
1:1Data Team DDS activity records with type 'Call' or 'Task' migrate as Dynamics 365 Task records. Subject, description, due date, and owner are mapped directly. Completed flag and actual duration are preserved as custom fields since Task doesn't store duration natively.
Data Team DDS
Meeting / Appointment
Microsoft Dynamics 365 Sales
Appointment
1:1Data Team DDS meeting records migrate as Dynamics 365 Appointment with original start/end times preserved. Location, regarding (linked record), and organizer are mapped field-by-field. Recurring meetings require expansion — each occurrence becomes a separate Appointment record. We also preserve the organizer email and attendee list from the original Data Team DDS meeting to maintain complete scheduling context in Dynamics 365.
Data Team DDS
Email History
Microsoft Dynamics 365 Sales
Email (Activity) / EmailHashBitMixin
1:1Email activity stored in Data Team DDS migrates as Email activity records in Dynamics 365. The regarding field links back to the parent Contact, Account, or Opportunity. Email body and subject are preserved; attachments are converted to Note/Attachment annotation records.
Data Team DDS
Custom Field / Custom Object
Microsoft Dynamics 365 Sales
Custom Field / Custom Table
1:1Data Team DDS custom fields are audited before migration. On Sales Professional, we prioritize the top 15 most-used custom fields as Dataverse columns; remaining fields are stored as a JSON blob in a single custom text field for reference. Enterprise tier allows full migration of all custom fields as separate Dataverse columns.
Data Team DDS
Attachment / File
Microsoft Dynamics 365 Sales
Annotation (Note)
1:1File attachments stored in Data Team DDS are downloaded, re-uploaded to Dynamics 365 Dataverse as Note annotation records, and linked to the parent record (Contact, Account, or Opportunity). Files larger than 128 MB are flagged for manual re-upload since that is the Dataverse annotation size limit.
Data Team DDS
Owner / User
Microsoft Dynamics 365 Sales
SystemUser / Owner
1:1Data Team DDS owner IDs are resolved by email match against Dynamics 365 Azure Active Directory–synced users. Unmatched owners are flagged before migration — your team either provisions a Dynamics 365 license for them or we assign their records to a fallback queue. No record lands without a valid OwnerId.
Data Team DDS
Record Create Date
Microsoft Dynamics 365 Sales
CreatedOn (custom shadow field)
1:1Dynamics 365 sets CreatedOn at migration load time, overwriting the original timestamp. We preserve the original Data Team DDS create date as a custom datetime field (Original_Created_Date__c) on each record so reporting continuity is maintained and historical trend analysis remains accurate from day one in the new system.
Data Team DDS
Record ID / External Reference
Microsoft Dynamics 365 Sales
Source_System_ID__c (custom field)
1:1Data Team DDS record IDs are stored as a custom text field on each Dynamics 365 record for traceability, duplicate detection during delta runs, and audit trail. This field is indexed for fast lookup during the 24–48 hour delta-pickup window.
| Data Team DDS | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company / Account | Account1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Deal / Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Business Process Flow + Stage1:1 | Fully supported | |
| Task / Activity | Task1:1 | Fully supported | |
| Meeting / Appointment | Appointment1:1 | Fully supported | |
| Email History | Email (Activity) / EmailHashBitMixin1:1 | Fully supported | |
| Custom Field / Custom Object | Custom Field / Custom Table1:1 | Fully supported | |
| Attachment / File | Annotation (Note)1:1 | Fully supported | |
| Owner / User | SystemUser / Owner1:1 | Fully supported | |
| Record Create Date | CreatedOn (custom shadow field)1:1 | Fully supported | |
| Record ID / External Reference | Source_System_ID__c (custom field)1:1 | 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.
Data Team DDS gotchas
No publicly documented public API found in research
Custom field schema varies per practice account
Insurance payer mappings are state and plan-specific
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
Audit Data Team DDS schema and Dynamics 365 target environment
FlitStack AI connects to Data Team DDS via API and exports a complete object and field inventory — standard objects, custom fields, pick-list values, relationship definitions, and owner/user list. Simultaneously, we inspect the target Dynamics 365 environment to confirm installed license tier, existing custom tables, business process flows, and user accounts synced from Azure Active Directory. This produces a schema gap analysis that identifies every field requiring transformation, custom field creation, or value mapping before migration runs.
Pre-create Dynamics 365 custom fields and business process flows
Based on the schema gap analysis, we create the custom fields (on Contact, Account, Lead, Opportunity) and Business Process Flow definitions in the Dynamics 365 environment before any data loads. On Sales Professional, we implement the 15-table triage plan and document any fields stored as JSON reference blobs. On Enterprise, all custom fields are created as separate Dataverse columns. This step runs in parallel with data profiling and value-mapping configuration, which prevents the common failure mode where records are rejected at load time due to missing target columns.
Resolve owners and map user accounts by email
Data Team DDS owner IDs are matched against Dynamics 365 SystemUser records by email address. Any owner in Data Team DDS that does not have a corresponding Azure Active Directory–synced user in Dynamics 365 is flagged in a pre-flight report. Your team either provisions a Dynamics 365 license for that user or designates a fallback queue owner. No record migrates without a valid OwnerId — this prevents the Dynamics 365 API from rejecting records during the bulk load phase.
Run a sample migration with field-level diff across a representative record slice
A representative slice of 200–500 records spanning all object types (contacts, accounts, leads, opportunities, and activities) migrates first. FlitStack AI generates a field-level diff report comparing source values against destination values for every mapped field. You review the diff to confirm pick-list value mapping accuracy, date transformations, custom field population, and owner resolution before the full run commits. This step typically takes 4–8 hours and is included in every fixed-price quote.
Execute full migration load and delta-pickup window
The full migration loads accounts first (since contacts and opportunities require AccountId), then contacts and leads, then opportunities with their stage mapping and business process flow association, then activities and annotations. A 24–48 hour delta-pickup window runs after the initial load to capture any records created or modified in Data Team DDS during the cutover period. The audit log records every operation (create, update, skip, error), and one-click rollback reverts all migrated records to the pre-migration state if reconciliation against the Data Team DDS final export fails.
Platform deep dives
Data Team DDS
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 Data Team DDS 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
Data Team DDS: Not publicly documented.
Data volume sensitivity
Data Team DDS 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
Answers to the questions buyers ask most during Data Team DDS to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
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