Migration Discovery & Assessment
Review the current CRM environment, data model, business processes, integrations, automation, pain points, and target-state requirements before records start moving.
CRM migration services
MissionTech helps organizations move CRM data and business processes between systems while reducing migration risk, data quality issues, and disruption to users.
The problem
Migrations become difficult when the project is treated as a record transfer. Copying accounts, contacts, and open deals into a new CRM can still leave teams with the same duplicates, broken relationships, and processes that no longer match how work gets done. A CRM migration has to account for data structure, record relationships, custom fields and tables, users and ownership, business processes, automation, integrations, validation, cutover planning, and post-migration stabilization.
Simply copying data can reproduce old problems in a new platform. MissionTech helps organizations decide what should move, what should be cleaned, what should be transformed, what should be archived, what should be rebuilt, and what should not be migrated at all— the same practical approach used across CRM programs. The broader catalog of CRM work is on the services page.
Capabilities
MissionTech helps organizations assess, map, clean, transform, migrate, validate, and stabilize CRM data and processes across platforms.
Review the current CRM environment, data model, business processes, integrations, automation, pain points, and target-state requirements before records start moving.
Map source fields, tables, objects, relationships, status values, ownership, and business rules into the target CRM structure.
Identify duplicates, stale data, inconsistent values, unused fields, and records that should be corrected or excluded before migration.
Normalize and transform CRM data so it fits the target platform rather than blindly copying the source structure.
Plan for parent/child records, lookups, account-contact relationships, opportunity and deal relationships, activity history, and custom relationships.
Support controlled extraction, transformation, loading, sequencing, validation, and issue resolution across migration cycles.
Validate record counts, relationships, key fields, ownership, business-critical processes, and usability before production cutover.
Plan migration timing, data freeze considerations, final delta loads, system availability, user readiness, and production transition.
Support cleanup, issue resolution, user feedback, automation validation, integration checks, and data-quality improvements after go-live.
Help organizations migrate from older or custom CRM systems into a modern platform without recreating unnecessary legacy complexity.
Cross-platform
CRM platforms do not share one data model. Migration work has to understand both the source and the destination—not only the extract file.
Salesforce migrations involve CRM data models, custom objects, automation, integrations, and Sales Cloud or Service Cloud context where those products are in use. Mapping has to respect object relationships, not only field names.
Salesforce consultingDynamics migrations involve Dataverse tables, relationships, custom columns, Power Automate, plug-ins, and solution or environment considerations. Target structure should be maintainable after import, not a copy of every source column.
Dynamics 365 consultingHubSpot migrations involve contacts, companies, deals, tickets, custom properties, pipelines, workflows, and data cleanup. Properties and association models rarely line up one-to-one with another CRM.
HubSpot consultingOlder and internal CRM platforms often need schema analysis, source extraction, mapping, transformation, and redesign before data is fit for a modern CRM.
Scenarios
Organizations evaluate many source-and-destination combinations. The list below is informational. It describes paths teams commonly plan for; it does not claim that every combination has already been completed as a MissionTech engagement.
Each path still requires mapping, cleanup, validation, and cutover planning. Platform-specific consulting for Salesforce, Dynamics 365, and HubSpot sits alongside this migration work when the source or target needs deeper configuration.
Data mapping
The target CRM may require redesign rather than one-to-one mapping. Field names that look similar can still mean different things, and relationships often matter more than individual columns.
Fields and columns, objects and tables, custom entities, picklists and choice values, record types, pipelines, stages, and status values have to be mapped—or deliberately rebuilt—so the target model supports how teams will work.
Users, owners, and teams rarely match one-for-one between systems. Ownership, queues, and assignment rules need an explicit plan or records land with the wrong person on day one.
Lookup relationships, parent/child records, activity history, and notes have to be sequenced so related records still connect after load. Attachments and files are planned separately when the platforms handle them differently.
External identifiers and integration keys are mapped when downstream systems still need to find the same customer, case, or order. Losing those keys can break integrations even when the CRM looks populated.
Connected systems
CRM migrations can fail operationally even when the data itself migrates successfully. Workflows, Power Automate flows, Salesforce Flow, HubSpot workflows, plug-ins, JavaScript, business rules, APIs, contact-center integrations, marketing integrations, reporting systems, and downstream applications may all depend on the current CRM.
MissionTech evaluates what depends on the current CRM data and processes so those dependencies can be migrated, redesigned, retired, or reconnected appropriately. The point is not to recreate every automation in the new platform. It is to keep sales, service, and operations running without surprise after cutover.
Source data
Poor source data should not simply be transferred. Duplicate records, incomplete contacts, invalid email addresses, inconsistent status values, unused properties and fields, stale records, orphaned relationships, inconsistent ownership, formatting problems, and conflicting source systems all travel with the load unless they are handled first.
Data cleanup is part of migration planning, not an afterthought. Cleaning, excluding, and transforming records before the production load is usually cheaper than explaining a messy new CRM to users after go-live.
Validation
A practical validation approach may include sample migrations, test loads, record-count reconciliation, field-level validation, relationship validation, exception reports, duplicate detection, ownership checks, pipeline and stage validation, integration checks, and business-user validation. The mix depends on the environment, the data that matters, and the processes that cannot break on day one.
Reconciliation is how gaps become visible: counts that do not match, lookups that did not resolve, owners that did not map, and records that loaded but cannot be used. Those issues are cheaper to find in a test cycle than in production.
Go-live
Production transition is planned against the actual environment, not a universal script. Depending on the systems involved, cutover may include migration timing, source-system freeze considerations, final extraction, delta migration, final validation, user communication, environment readiness, integration activation, rollback considerations where they apply, and stabilization after go-live.
The aim is a controlled handoff: users know which system is live, integrations are not writing to both places by accident, and issues found after go-live have an owner. Exact steps vary with data volume, connected systems, and how long the business can operate with a freeze or dual-running window.
Multi-CRM context
A migration consultant needs to understand both the source and destination systems. Object models, automation, and process language do not translate one-for-one.
Experience across Salesforce, Microsoft Dynamics 365, and HubSpot helps map what a field, table, or pipeline actually means—not only what it is named.
Salesforce objects, Dataverse tables, and HubSpot properties do not line up column-for-column. Multi-CRM work is how those differences get designed instead of forced.
Salesforce Flow, Power Automate, HubSpot workflows, APIs, and contact-center connections often have to be redesigned rather than migrated as-is. Knowing both sides of the move reduces guesswork.
Copying a legacy architecture into a new CRM usually recreates the same operational problems. The destination should support how the business will work, not every unused custom field from the source.
How we engage
This sequence is specific to CRM migration work. It does not replace MissionTech's broader Discover, Design, Implement, and Optimize engagement model used on other CRM programs.
Understand the source CRM, data, business processes, automation, integrations, and migration objectives.
Define source-to-target mappings, transformation rules, cleanup requirements, ownership, relationships, and migration sequencing.
Extract, transform, load, sequence, and troubleshoot data in controlled migration cycles.
Reconcile records, relationships, key fields, ownership, automation dependencies, and business-critical processes.
Resolve post-go-live issues, improve data quality, validate integrations, and support the new CRM environment.
Why MissionTech
MissionTech LLC has helped organizations improve CRM, automation, and systems integration since 2021.
Migration advice accounts for Salesforce, Dynamics 365 and Dataverse, and HubSpot as source or destination—not a single-platform extract.
When Salesforce is the source or the target, mapping, objects, automation, and Sales Cloud or Service Cloud context are informed by 15 years of Salesforce experience—not a generic claim about MissionTech's age.
Workflows, APIs, contact-center connections, and data movement are treated as part of the CRM transition, not as side projects that leave processes stranded after cutover.
Record counts are not the only success measure. Ownership, stages, usability, and the processes people run every day have to survive the move.
The destination CRM should be something a team can operate and change. Unused legacy complexity is not copied by default.
Questions
A CRM migration typically includes more than loading records into a new system. MissionTech helps with discovery and assessment, source-to-target mapping, data cleanup, transformation, relationship preservation, controlled loads, testing and validation, cutover planning, and post-migration stabilization. Depending on the environment, that work may also include automation, integrations, reporting dependencies, and process redesign so the target CRM is usable after go-live.
There is no fixed duration. Timing depends on source-system complexity, data volume, customizations, cleanup requirements, integrations, validation needs, and cutover constraints. A smaller, cleaner source with few integrations is a different project from a heavily customized CRM with overlapping automations and multiple connected systems. MissionTech estimates schedule after discovery, not before the source environment is understood.
Yes. MissionTech helps organizations migrate CRM data and related processes across Salesforce, Microsoft Dynamics 365, HubSpot, and other source or destination systems, including legacy and custom CRM platforms. The work is scoped to the source and target actually in use. Not every combination is implied as a completed engagement; the same mapping, cleanup, validation, and cutover discipline applies when the platforms differ.
Yes. HubSpot-to-Salesforce work is a source-to-target mapping problem: contacts, companies, deals, tickets, custom properties, pipelines, and activity history do not line up one-to-one with Salesforce objects, fields, and relationships. MissionTech maps what should move, what should be cleaned, and what should be redesigned, then validates the load before cutover. Salesforce-specific configuration is informed by 15 years of Salesforce experience.
Yes. Salesforce and Dynamics 365 (Dataverse) use different data models. Objects, fields, record types, and automation do not copy as-is onto tables, columns, relationships, and Power Automate. MissionTech maps the source Salesforce model to a maintainable Dynamics structure, including lookups, ownership, and process differences, then validates relationships and key fields before production.
Yes. Legacy and custom CRM migrations usually start with schema analysis and source extraction because documentation is incomplete or the data model grew organically. MissionTech helps identify tables, fields, relationships, and identifiers, then maps and transforms that data into a modern CRM such as Salesforce, Dynamics 365, or HubSpot without recreating unused legacy complexity.
Data loss is reduced by mapping before loading, reconciling record counts, validating key fields and relationships, using test loads, and reviewing exception reports. MissionTech also treats exclusion as an explicit decision: some records should not migrate. A freeze window, final extraction, and delta load may be part of cutover depending on the environment. No migration is risk-free; the work is to make gaps visible and resolvable before go-live.
Usually not. Migrating every historical record, unused field, and stale duplicate can reproduce the old CRM's problems in the new platform. MissionTech helps decide what should move, what should be cleaned, what should be archived, and what should be left behind. Business-critical history, relationships, and identifiers are preserved when they are needed; unused complexity is not copied by default.
If you are changing CRM platforms, replacing a legacy system, consolidating CRM data, cleaning up CRM data, modernizing business processes, or preparing for a major CRM transition, start with a short outline of the source and destination systems. Request a consultation or email info@missiontechllc.com.
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