CRM migration
Field-level mapping, validation, and rollback between Sage CRM and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Sage CRM
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
9 of 10
objects map 1:1 between Sage CRM and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
5-8 weeks
Overview
Moving from Sage CRM to Microsoft Microsoft Dynamics 365 Sales is a migration from a legacy platform with a direct SQL database extraction path to a cloud-native platform accessed exclusively via REST and Bulk APIs. Sage CRM stores customer data in a flat entity model (Companies, Contacts, Leads, Opportunities, Cases, Communications, Custom Entities) that maps structurally to Dynamics 365 Accounts, Contacts, Leads, Opportunities, and Cases, but the mapping is not 1:1 on address handling, custom entity schema, or workflow logic. We extract from Sage CRM via its SOAP or REST API or directly from the underlying SQL/Pervasive database, transform the data for Dynamics 365's Dataverse schema, and load via the Dynamics 365 Data Import or Bulk API with parent-record lookup resolution. Sage CRM workflow rules, ASP-scripted escalation triggers, and Advanced Outlook Integration email connections do not migrate; we deliver a written workflow inventory for the customer's admin to rebuild in Dynamics 365 Workflow or Power Automate.
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
Sage CRM platform overview
Scorecard, SWOT, gotchas, and pricing for Sage CRM.
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 Sage CRM 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.
Sage CRM
Company
Microsoft Dynamics 365 Sales
Account
1:1Sage CRM Companies map to Microsoft Microsoft Dynamics 365 Sales Account records. The Company name becomes Account Name, the primary address maps to the Account's primary postal address fields, and any secondary addresses (billing, shipping, branch offices) must be consolidated into a single primary address or stored as related Address records. Industry, classification, and custom Company fields map to corresponding Account fields or custom fields on Account. We create Account records first during migration so that the parent-record lookup is satisfied for all dependent Contact imports.
Sage CRM
Contact
Microsoft Dynamics 365 Sales
Contact
1:1Sage CRM Contacts link to Companies via the PrimaryCompanyLink foreign key. We resolve this relationship at migration time by first loading Companies into Dynamics 365 as Accounts, then mapping PrimaryCompanyLink to the AccountID on each Contact. Custom Contact fields and Sage CRM's person-type fields map to custom Contact fields in Dynamics 365. Duplicate detection uses email address as the primary dedupe key with phone number as a secondary match.
Sage CRM
Lead
Microsoft Dynamics 365 Sales
Lead
1:1Sage CRM Leads map to Microsoft Microsoft Dynamics 365 Sales Lead records. Lead qualification status, source tracking, and custom lead fields migrate directly. The Dynamics 365 Lead includes a leadqualitycode and leadsourcecode field that we populate from Sage CRM's lead status and source fields. Dynamics 365's Lead does not require an immediate Convert action, but the customer decides during scoping whether existing Sage CRM Leads that represent qualified buyers should be pre-converted to Contact-Account pairs rather than loaded as Leads.
Sage CRM
Opportunity
Microsoft Dynamics 365 Sales
Opportunity
1:1Sage CRM Opportunities map to Microsoft Dynamics 365 Sales Opportunity records. Pipeline stages, revenue amounts, expected close dates, and owner assignments migrate with stage probabilities recalculated to match the customer's Microsoft Dynamics 365 Sales Process stage weights. Multi-currency amounts in Sage CRM (if the customer's deployment supports multiple currencies) are stored in the currency fields and map to the Dynamics 365 closeprobability and estimatedvalue fields. Custom opportunity fields migrate as custom fields on Opportunity.
Sage CRM
Opportunity Pipeline and Stages
Microsoft Dynamics 365 Sales
Opportunity Record Type + Sales Process
lossySage CRM pipeline configuration (named pipelines and their stage sequences) maps to Dynamics 365 Record Types and Sales Processes. Each Sage CRM pipeline becomes a Dynamics 365 Record Type on Opportunity, with a corresponding Sales Process that whitelists the stage values. Stage probability percentages migrate from Sage CRM to Dynamics 365 StageProbability with rounding to the nearest integer allowed by the platform.
Sage CRM
Case
Microsoft Dynamics 365 Sales
Case
1:1Sage CRM Cases map to Microsoft Dynamics 365 Sales Case records. Case severity, status, and owner assignment migrate. Threaded Communications attached to a Case are stored in the Sage CRM Communication table linked by CaseID; we export these Communication records and attach them to the corresponding Dynamics 365 Case as EmailMessage records or as Notes linked to the Case, preserving the chronological sequence of case interactions.
Sage CRM
Communication (emails, calls, meetings, notes)
Microsoft Dynamics 365 Sales
EmailMessage, Task (Call), Event, Note
1:1Sage CRM Communication records are entity-type agnostic, linked to Company, Contact, Lead, Opportunity, or Case. We export Communications, determine the target entity type, resolve the Dynamics 365 record ID for the parent reference, and load into the corresponding Dynamics 365 object: emails as EmailMessage linked to Tasks, call records as Task with TaskSubtype=Call, meetings as Event records, and general notes as Note records. The migration target for Communications is Microsoft Dynamics 365 Sales or Service Cloud depending on the customer's destination license.
Sage CRM
Custom Entity
Microsoft Dynamics 365 Sales
Custom Table (Dataverse)
1:1Sage CRM Custom Entities have display names and internal table names (e.g., CustomEntityname) that we discover via the API model service. Each Custom Entity maps to a Dataverse custom table with a corresponding logical and physical name. All custom fields on the entity map to typed Dataverse columns. If the custom entity has lookup relationships to standard entities (Company, Contact, Opportunity), we pre-create those relationship columns in Dataverse and resolve the parent record ID during the migration transform step. Custom Entity data migrates after all standard entities to ensure parent-record lookup resolution.
Sage CRM
User
Microsoft Dynamics 365 Sales
User
1:1Sage CRM Users with role-based security profiles map to Dynamics 365 User records by email address. Role assignments in Sage CRM (security profiles controlling object and field access) do not migrate directly because Dynamics 365 Security Roles are structured differently. We extract the user's role assignments as a written inventory and map them to the nearest equivalent Dynamics 365 Security Role during the security design phase. The customer's Dynamics 365 admin assigns Security Roles post-migration.
Sage CRM
Reports
Microsoft Dynamics 365 Sales
Reports
1:1Sage CRM Reports stored in the report schema with internal entity field references are documented and exported during discovery. Report formatting, formulas, and scheduling do not migrate and must be recreated in Dynamics 365 using the report designer or Power BI. We deliver a report inventory documenting every Sage CRM report, its data source entities, filters, and output format so that the customer's admin or a Dynamics 365 partner can rebuild them in the new platform.
| Sage CRM | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Company | Account1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Opportunity Pipeline and Stages | Opportunity Record Type + Sales Processlossy | Fully supported | |
| Case | Case1:1 | Fully supported | |
| Communication (emails, calls, meetings, notes) | EmailMessage, Task (Call), Event, Note1:1 | Fully supported | |
| Custom Entity | Custom Table (Dataverse)1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Reports | Reports1:1 | Mapping required |
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.
Sage CRM gotchas
Workflow rules and ASP scripts do not export as data
Email integration requires third-party plugins or is absent
On-premise IIS hangs require manual restart and block migration
Custom Entities use unique internal naming conventions
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
Discovery and extraction method decision
We audit the source Sage CRM deployment across cloud vs on-premise, API version availability, custom entity count, Communication table volume, active workflow rules, and user count. For on-premise deployments, we assess direct SQL/Pervasive database access alongside the SOAP/REST API to determine the fastest and most complete extraction path. For cloud deployments, we use the REST API with pagination and rate-limit handling. The discovery output is a written migration scope specifying extraction method, entity list, field map, and workflow inventory requirements.
Schema design for Dynamics 365
We design the destination Microsoft Dynamics 365 Sales schema. This includes provisioning custom fields on Account, Contact, Lead, Opportunity, and Case; creating custom tables on Dataverse for Sage CRM Custom Entities; configuring Record Types and Sales Processes on Opportunity to match Sage CRM pipeline and stage values; and mapping the address consolidation model agreed upon with the customer. We deploy the initial schema into a Dynamics 365 Sandbox via the environment's deployment tooling for validation before production migration begins.
Sandbox migration and reconciliation
We run a full migration into the Dynamics 365 Sandbox using production-like data volume. The customer's operations or IT lead reconciles record counts across all entity types (Companies into Accounts, Contacts, Leads, Opportunities, Cases, Communications, Custom Entities), spot-checks 25-50 representative records against the Sage CRM source, and validates the address consolidation output. Any field mapping corrections, missing custom fields, or schema adjustments happen in the Sandbox before production migration.
User reconciliation and security role mapping
We extract every Sage CRM User referenced on any record and match by email against the destination Dynamics 365 org's User table. Sage CRM role and security profile assignments are documented in a written security inventory mapping each Sage CRM role to the nearest equivalent Dynamics 365 Security Role. The customer's Dynamics 365 admin provisions any missing Users and assigns Security Roles before production migration. OwnerId references on Opportunity and Case records require this step to be complete before those entities can be loaded.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Sage CRM Companies with address consolidation applied), Contacts (with AccountId resolved via email or company name match), Leads (with qualification status mapped), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Cases (with OwnerId resolved), then Custom Entities (with lookup references to standard entities resolved). Communication records (emails, calls, meetings, notes) are loaded last via bulk batch processing with parent-record WhoId and WhatId resolved against the imported Lead, Contact, Account, and Opportunity records. Each phase emits a row-count reconciliation report.
Cutover, validation, and workflow handoff
We freeze Sage CRM writes during cutover, run a final delta migration of any records modified during the migration window, then enable Microsoft Dynamics 365 Sales as the system of record. We deliver the workflow inventory document, the security role mapping, and the report inventory to the customer's admin team. We support a one-week post-cutover reconciliation window where we resolve data quality issues raised by the user's team. We do not rebuild Sage CRM workflows in Dynamics 365 Workflow or Power Automate as part of the migration scope; that is a separate engagement.
Platform deep dives
Sage CRM
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 Sage CRM 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
Sage CRM: 180 requests/min with 10 calls/second burst (Sage Embedded Services); 3,000 requests/min/application (Sage Active API V2); rate limits for core Sage CRM API are not publicly documented.
Data volume sensitivity
Sage CRM 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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