CRM migration
Field-level mapping, validation, and rollback between Mazrica Sales (formerly Senses) and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Mazrica Sales (formerly Senses)
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
6 of 10
objects map 1:1 between Mazrica Sales (formerly Senses) and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Mazrica Sales to Microsoft Microsoft Dynamics 365 Sales is a structural migration that involves reconciling a Japan-centric, card-based sales workflow against a globally-scaled CRM with a separate Lead and Contact model, full Dataverse API, and deep Microsoft 365 integration. Mazrica Sales exposes Contacts, Companies, Opportunities, Activities, and Custom Objects via the senses-open-api v1 REST endpoint, but binary attachments and saved reports are not accessible through the public API. We extract these objects in dependency order, map lifecycle stage values to Dynamics 365 state or status fields, translate custom Mazrica objects to Dataverse custom tables, and load through the Microsoft Dataverse REST API with batch chunking and rate-limit handling. Workflows, automations, and card-based pipeline configurations do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Microsoft Dynamics 365 Sales .
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
Mazrica Sales (formerly Senses) platform overview
Scorecard, SWOT, gotchas, and pricing for Mazrica Sales (formerly Senses).
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 Mazrica Sales (formerly Senses) 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.
Mazrica Sales (formerly Senses)
Contact
Microsoft Dynamics 365 Sales
Lead or Contact (split required)
1:manyMazrica Sales Contacts with a Lifecycle Stage value of 導入検討 or 訪問提案 map to Dynamics 365 Lead. Contacts with Lifecycle Stage of 商談中, 契約済, or 取引再開 map to Dynamics 365 Contact attached to an Account. We preserve the original Mazrica Sales lifecycle stage in a custom field mz_original_lifecycle__c on both Lead and Contact for audit trail and reporting continuity. The split rule is defined during scoping against the customer's actual stage matrix and validated in the sandbox phase before production migration.
Mazrica Sales (formerly Senses)
Company
Microsoft Dynamics 365 Sales
Account
1:1Mazrica Sales Company records map directly to Dynamics 365 Account. The Mazrica company_name becomes Account Name, and the registered_address fields map to Address composite fields. We use company_id from Mazrica Sales as the dedupe key during import to prevent duplicate Account creation. Account is created before Contact import so that the primarycontactid lookup and parentaccountid relationship are satisfied at the moment of Contact insert.
Mazrica Sales (formerly Senses)
Opportunity
Microsoft Dynamics 365 Sales
Opportunity
1:1Mazrica Sales Opportunities (案件) map to Dynamics 365 Opportunity. The Mazrica Sales pipeline stage (pipeline_name and stage_name) maps to a Microsoft Dynamics 365 Sales Process and stage value that we configure before migration. Amount, estimated_close_date, and owner_id migrate directly. Custom pipeline stage names from Mazrica Sales become custom stage values in Dynamics 365 that we add to the relevant Sales Process via the customizations API.
Mazrica Sales (formerly Senses)
Pipeline
Microsoft Dynamics 365 Sales
Sales Process + Record Type
lossyEach Mazrica Sales deal pipeline becomes a Dynamics 365 Record Type on Opportunity with a corresponding Sales Process that whitelists the relevant stage values. If the customer has multiple pipelines in Mazrica Sales representing different business lines, each maps to its own Record Type so that stage values remain scoped per line of business and Page Layouts render the correct fields per pipeline.
Mazrica Sales (formerly Senses)
Activity
Microsoft Dynamics 365 Sales
Activity (Task, Email, Appointment, PhoneCall)
1:1Mazrica Sales Activities (行動) with activity_type of 電話, 訪問, メール, or 備考 map to Dynamics 365 PhoneCall, Appointment, Email, and Task respectively. We preserve the activity date, owner, related_contact_id, and related_opportunity_id as WhatId and regarding_objectid references in Dataverse. Bulk activity payloads are chunked to respect the Dataverse batch request limits and loaded via the web API with rate-limit backoff.
Mazrica Sales (formerly Senses)
Lifecycle Stage
Microsoft Dynamics 365 Sales
custom field or Status/State
lossyMazrica Sales LifecycleStageSetting values migrate as a custom text or picklist field mz_lifecycle_stage__c on both Lead and Contact. If the customer uses the Dynamics 365 Field Service or Sales_insights add-on that supports state modeling, we map lifecycle stage transitions to state transitions for automated state-based flows. The original Mazrica stage values are never discarded because they serve as the audit reference for historical pipeline reporting.
Mazrica Sales (formerly Senses)
Custom Object
Microsoft Dynamics 365 Sales
Custom Table (Dataverse)
1:1Mazrica Sales Custom Objects with user-defined schema (accessed via CustomObjectSetting and CustomObjects API endpoints) map to Dataverse custom tables created via Power Apps or the customizations XML. We pre-create the destination schema in a sandbox environment including all custom columns, lookup relationships to standard entities (Account, Contact, Opportunity), and any validation rules before data import. Custom object naming follows the Dataverse table name convention and inherits the publisher prefix from the target solution.
Mazrica Sales (formerly Senses)
User/Owner
Microsoft Dynamics 365 Sales
User
1:1Mazrica Sales Users with owner_id references on Contact, Company, Opportunity, and Activity records map to Dynamics 365 User records. We resolve by matching the Mazrica Sales user email against the Azure Active Directory-backed User table in the destination Dynamics 365 org. Owners without a matching User go to a reconciliation queue for the customer's admin to provision before record import resumes. Orphaned ownership chains are flagged in the scoping report.
Mazrica Sales (formerly Senses)
Product
Microsoft Dynamics 365 Sales
Product
1:1Mazrica Sales Product records (if present) map to Dynamics 365 Product. Product name, product code (hs_sku equivalent), and unit map directly. We create the corresponding Price List and Price List Item entries in Dynamics 365 before Opportunity import so that opportunity_product associations resolve correctly during migration.
Mazrica Sales (formerly Senses)
Attachment
Microsoft Dynamics 365 Sales
SharePoint Document Location (via integration)
lossyBinary file attachments associated with Mazrica Sales Contacts, Companies, or Opportunities are not exposed via the senses-open-api v1 REST endpoint. We do not migrate attachments through the API. We advise customers to export attachments via Mazrica Sales bulk export (if available manually) and upload to a SharePoint Document Library that we then connect to Dynamics 365 via the native SharePoint integration. The resulting SharePoint URL is stored in a custom field on the relevant record for reference.
| Mazrica Sales (formerly Senses) | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Sales Process + Record Typelossy | Fully supported | |
| Activity | Activity (Task, Email, Appointment, PhoneCall)1:1 | Fully supported | |
| Lifecycle Stage | custom field or Status/Statelossy | Fully supported | |
| Custom Object | Custom Table (Dataverse)1:1 | Fully supported | |
| User/Owner | User1:1 | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Attachment | SharePoint Document Location (via integration)lossy | 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.
Mazrica Sales (formerly Senses) gotchas
Rebrand from Senses to Mazrica Sales creates API path ambiguity
Minimum 5-user contract requirement on Starter tier
Annual contract commitment with no free trial
AI features require historical data volume to function
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 scoping
We audit the source Mazrica Sales portal across plan tier (Starter/Growth/Enterprise), contact and opportunity volumes, custom object count, pipeline stage definitions, lifecycle stage matrix, and activity history size. We extract the API schema via the senses-open-api v1 endpoints to map every field name, type, and relationship. We pair this with a Dynamics 365 environment audit: edition (Professional/Enterprise/Premium), existing custom tables, Sales Process definitions, and user count. The discovery output is a written migration scope document with object mapping, lifecycle stage split rule, and Dynamics 365 edition recommendation.
Schema design and Dataverse custom table creation
We design the destination schema in a Dynamics 365 sandbox. This includes provisioning any custom Dataverse tables to match Mazrica Sales Custom Objects, adding custom fields (mz_lifecycle_stage__c, mz_original_id__c) to Lead and Contact, configuring Sales Processes to match Mazrica Sales pipeline stages, and defining Record Types per pipeline. Schema is deployed via the Dataverse web API or solution package into the sandbox org for validation before any data moves.
Sandbox migration and reconciliation
We run a full migration into the Dynamics 365 sandbox using production-like data volume. The customer's sales operations lead reconciles record counts (Contacts in, Leads in, Accounts in, Opportunities in, Activities in) against the Mazrica Sales export, spot-checks 20-30 random records for field-level accuracy, and validates the lifecycle stage split. Any mapping corrections, custom field additions, or Sales Process stage additions happen in the sandbox before production migration begins.
Owner reconciliation and User provisioning
We extract every distinct Mazrica Sales owner referenced on Contact, Company, Opportunity, and Activity records and match by email against the Dynamics 365 destination org's User table backed by Azure Active Directory. Owners without a matching User go to a reconciliation queue. The customer's Dynamics 365 admin provisions any missing Users. Migration cannot proceed past this step because OwnerId and OwningUser references are required on most standard entities in Dynamics 365.
Production migration in dependency order
We run production migration in record-dependency order: Users (provisioned, validated), Accounts (from Mazrica Sales Companies), Leads and Contacts (with the lifecycle stage split applied), Opportunities (with regarding_contact_id, owninguser, and Sales Process resolved), Products and Price List entries, Activity history (Tasks, Emails, Appointments, PhoneCalls via Dataverse batch API), Custom Tables (last, because they often have lookups to standard entities). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, delta migration, and handoff
We freeze Mazrica Sales writes during cutover, run a final delta migration of any records created or modified during the migration window, then enable Dynamics 365 as the system of record. We deliver a written inventory of Mazrica Sales automations and pipeline configurations that require rebuild in Dynamics 365 (workflows, stage-based triggers, reminder rules). We support a five-business-day hypercare window where we resolve any reconciliation issues. Workflow rebuild, Power Automate setup, and admin training are outside standard migration scope.
Platform deep dives
Mazrica Sales (formerly Senses)
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Mazrica Sales (formerly Senses) and Microsoft Dynamics 365 Sales .
Object compatibility
2 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
Mazrica Sales (formerly Senses): Not publicly documented.
Data volume sensitivity
Mazrica Sales (formerly Senses) exposes a bulk API — large-volume migrations stream efficiently.
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.
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FAQ
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