Salesforce Data Migration

90% of migrations face challenges. Plan for reality, not the demo.

Plan Your Migration

Migrating data to Salesforce isn't copying files. It's untangling years of accumulated records, transforming them to fit a new model, and loading them in the exact sequence that preserves relationships.

Skip the planning, and you'll spend twice as long fixing problems.Your CRM is only as good as your data.

Why Data Migrations Go Wrong.

According to industry research, 90% of IT leaders face challenges during cloud migrations, primarily due to underestimated complexity and budget overruns.

Data migration specifically fails for predictable reasons:

Dirty Source Data Duplicates, incomplete records, and incorrect formats don't disappear during migration. They multiply. Organizations that skip data cleansing before migration spend 3x as long fixing problems afterward.

Missing Relationships Your legacy system linked customers to orders to invoices. Extract without understanding these relationships, and you load orphan records that point to nothing.

Wrong Load Order Salesforce requires parent records to exist before child records can reference them. Load Contacts before Accounts, and every Contact fails.

Validation Rules Blocking Import That validation rule ensuring emails contain "@" seems reasonable until you try to import 50,000 records from a system that didn't enforce it.

Triggers Firing During Bulk Load Your workflow sends welcome emails to new contacts. During migration, that means 30,000 unwanted emails to existing customers.

Every one of these problems is preventable with proper planning

The Migration Process: What to Expect

 

Phase 1: Discovery (Weeks 1-2)

 

We audit your source data: volume, quality, structure, and relationships. We map your source system's data model against Salesforce's target model. We identify gaps, transformations, and decisions that need business input.

Deliverables: Source data inventory, quality assessment, entity relationship mapping, decision log

 

Phase 2: Preparation (Weeks 2-4)

 

We extract data from your source system, cleanse it (deduplication, standardization, validation), and transform it to match Salesforce's structure. We map external IDs that will preserve relationships during load.

Deliverables: Cleansed data files, transformation rules documentation, external ID mapping

 

Phase 3: Testing (Weeks 4-5)

 

We load data into a Salesforce sandbox and validate. Record counts match? Relationships intact? Lookups resolve? Reports produce expected results? We iterate until testing passes.

Deliverables: Test load results, validation report, issue log and resolution

 

Phase 4: Production Migration (Week 6)

 

We load into production during a planned cutover window. We validate again. We provide post-migration support to address any issues users discover.

Deliverables: Production load confirmation, post-migration validation, support period

 

Migration Scenarios We Handle

Scenarios:

  • Legacy CRM to Salesforce

    Whether you're coming from ACT!, Goldmine, Dynamics, or custom databases, we extract your data, transform it to Salesforce's model, and load it with relationships preserved.

  • Spreadsheet to Salesforce

    Excel workbooks and Google Sheets are common starting points for growing organizations. We structure your tabular data into Salesforce's relational model.

  • NPSP to Nonprofit Cloud

    Moving from Nonprofit Success Pack to Nonprofit Cloud isn't an upgrade: it's a full reimplementation. We handle the Household Account to Person Account transition and all the data model changes it requires.

  • Multi-System Consolidation

    Mergers, acquisitions, and departmental consolidation often mean combining data from multiple sources. We establish matching rules, merge strategies, and survivorship rules.

  • Historical Data Archive Migration

    Sometimes you need years of historical records available for reference but not cluttering daily operations. We configure archive solutions and migrate historical data appropriately.

  • Salesforce to Salesforce (Org Merge)

    Combining two Salesforce orgs requires careful handling of ID references, custom objects, and potentially conflicting configurations.

Technical Challenges We Navigate

  • Salesforce generates new IDs for every record. Your legacy system's IDs become "external IDs" that let us link records together. Getting this mapping right is essential for preserving relationships between Accounts, Contacts, Opportunities, and custom objects.

  • Account before Contact. Contact before Opportunity Contact Role. Opportunity before Opportunity Product. Circular dependencies (Account references Contact, Contact references Account) require staged loading with updates.

  • Your production org enforces data quality with validation rules. Those rules may reject legacy data that doesn't meet current standards. We identify conflicts and decide: update the data, temporarily disable rules, or accept that some records won't migrate.

  • Workflows, Flows, and Triggers that run on record creation will fire during data load. Welcome emails, territory assignments, field updates: all of these need to be suppressed during migration and re-enabled afterward.

  • "01/02/2025" means January 2 in the US and February 1 in Europe. Time zones shift timestamps. We standardize formats during transformation to avoid date corruption.

  • Your legacy system called it "Hot Lead." Salesforce calls it "Qualified." Status values, stages, and categories need explicit mapping between systems.

  • Standard data loading tools slow significantly above 50,000 records. Bulk API has different limits. Record locking during parallel loads causes failures. We architect approaches appropriate for your volume.ription

Which Tool for Your Migration?

Factor

Custom Objects

Scheduling

Skill Level

Data Import Wizard

Data Loader

Record Limit

50,000

No

No

Millions

Objects Supported

Export

Limited standard objects

Beginner

All objects

No

Yes

Yes

Yes

Intermediate

When to use Data Import Wizard: Small imports of Accounts, Contacts, Leads, or Opportunities under 50,000 records. Quick updates by admins.

When to use Data Loader: Large volumes, custom objects, automated/scheduled loads, complex update operations, exports.

When to use neither: Complex transformations, enterprise volumes, or critical migrations often require MuleSoft, Informatica, or custom scripts.

Before You Migrate: Essential Checklist

Data Quality
 ☐ Duplicate records identified and merged in source system
☐ Required fields populated (or decisions made about empty values)
☐ Formats standardized (dates, phones, addresses)
☐ Invalid values identified (emails without @, impossible dates)

Target Configuration
☐ Custom fields created in Salesforce to receive source data
☐ Picklist values match source system values (or mapping documented)
☐ Record types configured if needed
☐ Validation rules reviewed for migration compatibility

Relationships
 ☐ Parent-child relationships documented
☐ External ID fields created for lookup mapping
☐ Load order determined based on dependencies

Automation
☐ Workflows/Flows that shouldn't fire during load identified
☐ Deactivation and reactivation plan documented
☐ Post-migration automation testing planned

Validation
☐ Record count expectations documented
☐ Sample record comparison planned
☐ Report validation criteria established
☐ User acceptance testing scheduled

FAQs

  • The timeline varies based on data volume and complexity, but most migrations take between 2-8 weeks from planning to final validation. We break the process into manageable phases, with the actual data transfer often taking just hours or days. The majority of time is spent on thorough planning, cleansing, and testing to ensure a smooth transition.

  • Your source data remains in your legacy system until you're confident the migration succeeded. We recommend maintaining read-only access to the old system for 90 days post-migration for reference and validation.

  • Yes, with planning. We establish a "freeze" date after which changes to the old system require careful handling. Delta migrations (loading changes made after initial migration) are possible but add complexity.

  • We assess the severity during discovery and recommend remediation. Sometimes cleaning before migration is faster. Sometimes loading and cleaning in Salesforce makes sense. We'll give you an honest assessment and options.

  • Properly executed migrations don't lose data. We validate record counts, spot-check samples, and run reconciliation reports. Data that doesn't migrate is documented with reasons (validation failures, mapping decisions, intentional exclusions).m description

  • Salesforce doesn't store email content natively. We can migrate email metadata (subject, date, sender, recipient) as Activities. Full email content requires third-party archival solutions or linking to your email system.

  • Files and attachments migrate to Salesforce Files (ContentDocument and ContentVersion objects). Storage limits apply. Large file volumes may require Salesforce storage add-ons or external document management integration.

  • We can handle deduplication as part of the migration engagement. Alternatively, we can provide matching rule recommendations and tools guidance for your team to execute. The choice depends on your team's capacity and the complexity of your duplicate situation.

  • We provide post-migration support (typically 2-4 weeks) to address issues users discover. We document known limitations, train your team on ongoing data management, and ensure you can operate independently.

  • Yes. Org-to-org migrations have their own considerations: handling conflicting IDs, merging overlapping records, and reconciling different customizations. We've executed org consolidations for mergers and acquisitions.

Plan Your Migration Before Problems Find You

Schedule a discovery call to assess your migration complexity and create a realistic plan.

Start Discovery

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