CRM migration

Migrate from Data Team DDS to Microsoft Dynamics 365 Sales

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 logo

Data Team DDS

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

100%

13 of 13

objects map 1:1 between Data Team DDS and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Data Team DDS logo

Data Team DDS

What's pushing teams away

  • Practices report that limited integrations with imaging systems and lab partners force manual workarounds that erode efficiency gains
  • Custom reporting capabilities are often described as insufficient for practices tracking production by provider or case type
  • Smaller practices cite pricing as a barrier when evaluating tier upgrades for multi-location or multi-doctor setups
  • User interface complexity for staff with limited technical experience creates onboarding friction, especially for front-desk teams new to the system

Choosing

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How Data Team DDS objects map to Microsoft Dynamics 365 Sales

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

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Direct 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

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Direct 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

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

Direct 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

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Direct 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

maps to

Microsoft Dynamics 365 Sales

Business Process Flow + Stage

1:1
Fully supported

Each 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

maps to

Microsoft Dynamics 365 Sales

Task

1:1
Fully supported

Data 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

maps to

Microsoft Dynamics 365 Sales

Appointment

1:1
Fully supported

Data 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

maps to

Microsoft Dynamics 365 Sales

Email (Activity) / EmailHashBitMixin

1:1
Fully supported

Email 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

maps to

Microsoft Dynamics 365 Sales

Custom Field / Custom Table

1:1
Fully supported

Data 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

maps to

Microsoft Dynamics 365 Sales

Annotation (Note)

1:1
Fully supported

File 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

maps to

Microsoft Dynamics 365 Sales

SystemUser / Owner

1:1
Fully supported

Data 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

maps to

Microsoft Dynamics 365 Sales

CreatedOn (custom shadow field)

1:1
Fully supported

Dynamics 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

maps to

Microsoft Dynamics 365 Sales

Source_System_ID__c (custom field)

1:1
Fully supported

Data 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.

Gotchas + challenges

What specifically takes care here

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 logo

Data Team DDS gotchas

High

No publicly documented public API found in research

Medium

Custom field schema varies per practice account

Medium

Insurance payer mappings are state and plan-specific

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • Sales Professional 15-custom-table ceiling forces schema triage

    Dynamics 365 Sales Professional enforces a soft cap of 15 custom tables per environment. If Data Team DDS uses more than 15 custom field groups or custom entity types, we cannot migrate all of them as separate Dataverse columns under the Professional license tier. We audit the source schema before migration and present two options: upgrade to Enterprise (which removes the cap) or prioritize the top 15 most-used custom fields as separate columns and store the remainder as a JSON blob in a reference field. Skipping this step means the migration plan silently drops lower-priority fields.

  • Dataverse Web API rate limits can throttle large-volume migrations

    Dynamics 365 Sales is built on Dataverse, which enforces concurrent request limits and daily API quotas that vary by license tier (100,000–1,000,000 requests per 24 hours depending on workload license). A Data Team DDS migration with 500,000+ records hitting the API in parallel can trigger throttling errors that cause partial failures. FlitStack AI implements exponential backoff, request batching at 1,000 records per batch, and concurrent limit monitoring to stay within allocated quota. We surface any throttled records for retry in the delta-pickup window.

  • Opportunity StageName scoping to Business Process Flows creates hidden mapping complexity

    Dynamics 365's StageName field on the Opportunity table is scoped to a specific Business Process Flow — each pipeline in Data Team DDS must become a named business process flow so stage values don't bleed across sales processes. A team with five pipelines in Data Team DDS ends up with five business process flows in Dynamics 365, each with its own stage set. We generate the Business Process Flow definitions as part of the migration plan so your Dynamics 365 admin can pre-create them before data lands, preventing orphaned stage values.

  • Activity type split requires pre-migration activity taxonomy review

    Data Team DDS may store all engagement activities (calls, emails, meetings, tasks) as a unified activity type. Dynamics 365 splits these into separate Task, Email, and Appointment tables, each with different required fields and API endpoints. If Data Team DDS uses a generic 'activity' object without a type discriminator, we must infer the type from field presence (e.g., a duration field implies Task with Type='Call', a start/end time implies Appointment). This inference step adds a data profiling pass before the migration run.

  • File attachment migration must account for Dataverse annotation size limits

    Dynamics 365 Dataverse annotation records support file sizes up to 128 MB per file. Attachments in Data Team DDS that exceed this limit — common for large PDF proposals, CAD files, or archived email PSTs — will fail to upload via the standard API. FlitStack flags oversized files before migration and either splits them if structurally feasible or defers them to manual re-upload with a reference list of what needs to be moved and where it should land in Dynamics 365.

Migration approach

Six steps for a successful Data Team DDS to Microsoft Dynamics 365 Sales data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Data Team DDS logo

Data Team DDS

Source

Strengths

  • Specialized for dental practice workflows including scheduling, treatment planning, and insurance claim handling
  • Patient record management consolidates demographics, clinical history, and billing in one linked system
  • Appointment scheduling with provider assignment supports multi-chair and multi-provider practice configurations
  • Insurance claim tracking with payer reference and status monitoring reduces follow-up effort on rejected claims
  • Custom fields allow per-practice configuration for referral tracking, recall preferences, and specialty flags

Weaknesses

  • Reporting and analytics capabilities lag behind broader CRM platforms, limiting production and revenue-cycle insights
  • Integration ecosystem is narrower than horizontal CRMs, requiring custom work for specialty imaging, lab, or ERP connections
  • Custom field schema varies by practice, creating migration complexity when switching to a destination system with a different data model
  • Multi-location support is limited on lower tiers, restricting scalability for growing dental groups
  • Export mechanisms may require manual intervention or third-party tools, as no fully documented public API was found in the research
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

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

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Data Team DDS: Not publicly documented.

  • Data volume sensitivity

    B

    Data Team DDS doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Data Team DDS to Microsoft Dynamics 365 Sales migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Data Team DDS to Microsoft Dynamics 365 Sales data migrations

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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Book a free 30 minute consultation

Most Data Team DDS to Dynamics 365 migrations complete in 48–72 hours for under 50,000 records. Larger setups exceeding 500,000 records or those with 15+ custom fields and multiple business process flows extend to 5–10 days. The longest single step is schema planning and Dynamics 365 custom field pre-creation on Professional tier — this planning phase typically takes 3–5 business days and runs concurrently with data profiling. The actual API-based data load is usually the fastest phase once schema is confirmed.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Data Team DDS.
Land in Microsoft Dynamics 365 Sales , intact.

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