How to Migrate from Salesforce to Microsoft Dynamics 365 Without Data Loss

CRMFebruary 20, 202613 min readby Dhwani Shah

Introduction

Most CRM migrations don’t happen because teams suddenly dislike Salesforce or want a new system. 

They happen for a quieter reason.

As organizations grow, the way CRM data is used starts to change. Teams need better communication, reporting needs to be more detailed, and integrations need to perform optimally. 

Although Salesforce works well in many cases, over time, it fails to scale with the business. What once worked fine starts showing friction across everyday operations.

This is where Dynamics 365 steps into the conversation. Not as a replacement for Salesforce, but a platform that fits the requirements of growing businesses. It scales with more data, complex operations, and flexible workflows. 

In this guide, we break down why organizations consider moving from Salesforce to Dynamics 365, what drives that decision, and what needs to be evaluated before starting the migration.

What Does Salesforce to Dynamics 365 Migration Really Mean?

Migrating from Salesforce to Dynamics 365 is often misunderstood as a data move.

It isn’t.

Data is only one part of the migration. What actually moves are the processes built around that data. Workflows, automations, reports, integrations, and custom logic that teams rely on every day all come into play.

Dynamics 365 is an entirely different CRM. It isn’t a single, fixed CRM application but a modular platform that connects sales, service, operations, and analytics more closely with the rest of the business. This structure changes how information flows, how teams work with data, and how organizations approach a successful Dynamics 365 implementation during a Salesforce migration.

Thanks to that, migrating from Salesforce to Dynamics 365isn’t about moving data into a new system. It’s more about re-aligning systems from Salesforce to D365 and streamlining existing operations.

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Top Reasons Businesses Switch from Salesforce to Dynamics 365

  1. Better integration with the Microsoft ecosystem:

Organizations that use platforms like Outlook, Teams, and other Microsoft tools don’t typically choose CRM as their go-to. However, over time, the use of such tools adds gaps between systems, which ultimately adds friction to the operations. 

Dynamics 365 fits more naturally into the Microsoft ecosystem, especially when combined with Power Platform and Azure, which reduces the need for constant workarounds.

For many teams, recognizing the signs it’s time to migrate to Dynamics 365 becomes clear when integration complexity starts impacting productivity.

  1. Lower long-term total cost of ownership:

Most companies don’t consider licensing costs at the start. However, the costs add up in the long term. As teams grow, add-ons increase, and custom needs expand, costs rise. 

Because it costs less to purchase in the long run, many firms see Dynamics 365 as a more flexible choice. It has an affordable license and limited extensions.

  1. A unified CRM and ERP direction:

Some organizations need something more than a CRM as they scale. They need tighter connections among sales, service, finance, and operations, which require both CRM and ERP. 

This need frequently mirrors the same challenges seen in ERP environments. Many organizations already recognize the signs outgrown the existing ERP system before extending that realization to CRM.

This approach generally prefers platforms like Dynamics 365. It allows CRM capabilities to scale into ERP without forcing teams into separate systems.

  1. Customization through the Power Platform:

Customization needs change over time. What starts as small adjustments turns into broader automation and app requirements. 

Tools like Power Apps and Power Automate allow teams to build and adjust workflows without rewriting everything from scratch.

  1. Analytics and reporting that connect the dots:

Reporting challenges usually appear quietly. Data lives in different places, numbers don’t line up, and confidence drops. 

With Power BI and a more unified data model, Dynamics 365 often feels easier to extend into consistent reporting across teams.

Migration Planning – What You Must Know Before You Start

Scope definition

Planning usually starts with deciding what is actually in scope. Teams need to be clear on which Dynamics 365 modules matter, which data needs to move, and which custom objects remain relevant.

Stakeholder alignment

Migration decisions affect more than one team. Business users and IT often view the move differently, and when that alignment isn’t established early, progress tends to slow down later.

Gap analysis

Salesforce and Dynamics 365 don’t always line up the same way. A gap analysis, often guided by experienced Salesforce consulting, helps surface where processes need to change—rather than trying to copy everything over.

Target state vision and KPIs

Teams also need a shared idea of where they’re heading. Defining the target state and a few clear KPIs helps keep the migration focused on more than just finishing the move.

Step-By-Step Salesforce – Dynamics 365 Migration Process

Step 1: Discovery and current state analysis

Every migration starts by looking at what actually exists in Salesforce today. Objects, fields, workflows, and integrations are reviewed, but not all of them matter anymore. This step usually reveals how much of the setup is still in use versus what has simply been left behind over time.

Step 2: Data mapping and cleansing

Data needs to be organized, cleaned, and structured before it’s moved.  Following proven salesforce data migration best practices helps eliminate duplicates, outdated records, and schema conflicts that otherwise surface post-migration. When moving data, ensure that Salesforce objects align with the Dynamics 365 factors. However, data mapping is only a part of the migration. This is the stage where duplicate data, outdated entries, and unused data are identified and removed.

Step 3: Environment setup and configuration

Before migrating data from Salesforce to Dynamics 365, teams must ensure the platform is ready for the move. Teams must sit together and assign roles and responsibilities to individual team members. This helps organizations maintain hierarchy post-implementation. 

Step 4: Data migration

Data migration is often processed in stages to ensure 100% success. Migration teams leverage platforms like KingswaySoft, Azure Data Factory, and SSIS—along with 

open-source cloud migration tools —to handle complex data structures while maintaining stability. The process is typically carried out in phases to avoid surprises after the switch is complete.

Step 5: Rebuild workflows and automations

During migration, Salesforce workflows aren’t moved directly to Dynamics 365. Professionals recreate the logic using Power Automate or event-driven flows. They retain some processes, others are customized, and some are removed based on the feature teams’ daily use. 

Step 6: Testing and validation

Testing is not a single phase. Individual components are checked first, integrations are tested next, and users validate everyday scenarios later. Issues here are expected and usually shape the final configuration before launch.

Step 7: Training and change enablement

User training is generally based on the organization’s hierarchy. Training levels are designed based on the team members and everyday workflows. Additionally, once basic training is complete, teams feel confident running daily operations. 

Step 8: Go-live and post-migration support

Go-live is rarely the end. Once the systems are live, it’s time to monitor them, optimize workflows, and resolve queries as they arise. Early optimization is the key to stable operations during such instances. 

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Data Migration Strategy: Best Practices That Prevent Failures

Data profiling and quality assessment:

Most migration issues can be resolved early if the data is assessed properly. Profiling existing data to find duplicates, errors, and inconsistencies can save costly mistakes. 

Incremental data migration:

Moving everything at once could result in a complete shutdown of operations. When you move data in bulk, you migrate existing problems that are hard to spot until it’s too late. Migrating in phases saves your operations from a complete takedown later. 

Conflict resolution logic:

Problems generally arise in your workflow if the data isn’t structured during migration. Therefore, ensure your data is well-structured and clean during migration to avoid teams having to deal with the hassle post-migration. 

Performance considerations:

Data behaves differently under load. As more data is available, the system starts processing slowly. Therefore, it’s best to stress-test systems under load before migration. 

Version control and rollback planning:

Not every migration succeeds and might require a rollback if unsuccessful. Version tracking and rollback options let teams recover without turning small issues into major setbacks.

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Customizations, Integrations & Extensions

Custom fields and custom objects:

Custom fields and objects are among the most overlooked sections. These fields contain data on how data links up and how custom functions work. Schema problems don’t appear at the start; they add friction to the workflow later. 

Workflows and automation:

Automations don’t work the same way post-migration. You can rebuild Salesforce workflows using Power Automate, but the logic will need to be rewritten. Some steps translate well. Others don’t. This is usually discovered only after processes have started running again.

Third-party integrations:

Integrations tend to expose the most friction. ERP systems, eCommerce platforms, and marketing tools often depend on Salesforce-specific behavior. During migration, these connections need attention, or data starts drifting between systems.

Middleware scenarios:

Middleware usually comes into play when integrations become harder to manage. Middleware is used to manage data flow, system failures, and reduce errors when systems need to stay in sync over time. 

Common Challenges & How to Overcome Them

Every successful migration involves challenges that must be navigated skilfully. Here are some common challenges and how you could overcome them:

Common ERP ChallengesTips to Overcome
Objects that Weren’t MatchedPush tiered discovery and leverage mapping templates to list everything before modifying data.
Data Quality IssuesStructure and clean data to avoid surprises later.
Workflow Logic MismatchRebuild workflows with the Power Platform to adjust how processes flow.
User Adoption ResistanceInclude early training and a few early team leaders to streamline the process. 
Integration InterruptionRun end-to-end testing to identify gaps early. 

Cost Considerations: What to Budget For

  1. Licensing differences

Licensing is usually the first thing teams look at, but it’s rarely the full picture. Salesforce and Dynamics 365 structure licensing differently, and costs tend to shift as users, modules, and usage grow over time.

  1. Implementation services

Migration work goes beyond setup. Consulting, data migration, testing, and rework all add to the effort. These costs often depend on the complexity of the existing Salesforce environment.

  1. Training and change management

Training is easy to underestimate. Users need time to adjust, and that adjustment has a cost. Without proper change support, productivity often dips before it recovers.

  1. Integration and custom development

Integrations and custom logic usually incur additional costs. Integrating ERP connections, custom extensions, and automations increases costs, especially when your existing workflow doesn’t migrate seamlessly to Dynamics 365.

  1. Post-go-live support

Costs don’t stop once you go live. Additional costs keep recurring in the name of fixes, early support, and optimization as you start using the platform in real time. 

Organizations not ready to migrate immediately often stabilize operations first using Salesforce managed services—reducing technical debt before transitioning platforms.

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Measurable Benefits After Migration (Case Outcomes)

Unified customer view

Following the migration, customer information centralizes at once place. Sales, service, and operations start from the same records, reducing confusion and making customer history easier to rely on.

Process automation and SLAs

Once workflows settle, fewer steps stay manual. Automations begin to handle routine work more consistently, and response times improve simply because processes are no longer stitched together.

Operational cost changes

Operational costs don’t disappear post-implementation; they just change form into another expense. As businesses scale, fewer extensions, simpler integrations, and improved structure reduce the costs. 

Analytics and reporting

Reporting becomes easier to work with. Data is more connected, and teams spend less time reconciling numbers between tools before trusting what they see.

User productivity

After the adjustment period, users move faster. Less system switching, fewer workarounds, and clearer processes usually lead to higher adoption and fewer support issues.

Salesforce vs Dynamics 365: Quick Comparison Table

Still confused between Salesforce and Dynamics 365? Here’s a quick comparison table:

FeatureSalesforceDynamics 365
LicensingOffers a tiered license alongside add-onsOffers modular licensing and integrated add-ons
AnalyticsOffers in-built analyticsHas integrated Power BI for enhanced reporting
ERP IntegrationRequires add-ons for seamless operationsOffers native dynamics due to its ERP functionality
Microsoft EcosystemLimited integration capabilitiesOffers deep integration into the Microsoft ecosystem
CustomizationOffers flexible customizationOffers numerous features for everyone

Conclusion

Most Salesforce-to-Dynamics 365 migrations don’t run into trouble because the platform choice is wrong. They struggle for a quieter reason.

Work on data, workflows, and integrations is often underestimated. Workflows that were stable in Salesforce behave differently post-migration in Dynamics 365. Processes slow down, data needs more corrections, and teams spend more time fixing these issues. 

This is where Solvios typically supports organizations. Not by rushing implementation, but by slowing things down early. Planning the move, handling migration carefully, and supporting teams after launch helps avoid disruption and rebuild confidence in the system.

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Frequently Asked Question

PA structured migration prevents data loss by combining data profiling, field-level mapping, phased migration, and reconciliation testing. Most failures happen due to poor data cleansing or mismatched custom objects, not the migration tools themselves.

About Author

Dhwani Shah

Dhwani Shah

Co-Founder

Dhwani Shah is the Co-Founder of Solvios Technology. She focuses on building strong relationships, guiding teams, and helping businesses move forward with clear direction. Her perspective comes from real-world experience, thoughtful leadership, and a genuine passion for creating long-term value for clients and partners.

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