Moving data into Salesforce is more than importing a spreadsheet.
A successful migration requires planning, data cleanup, field mapping, relationship management, testing, and validation. If these steps are skipped, a business can end up with duplicate records, missing information, or reports that do not work as expected.
A structured migration process can make the transition easier to manage.
- Decide What Data You Actually Need
Do not automatically move every record from the old system.
Start by identifying which data is still useful to the business.
For example, you may need:
Active customer records
Current opportunities
Important historical information
Open service records
Relevant contact information
Old or unnecessary data can increase migration effort without providing much value.
- Clean the Source Data
Data quality should be addressed before importing records into Salesforce.
Look for:
Duplicate customers
Missing values
Incorrect email addresses
Inconsistent names
Outdated records
Different formats for the same information
For example, if one system stores a country as "India" and another uses "IN," decide which format Salesforce should use before migration.
Cleaning the source data can prevent many problems later.
- Create a Field Mapping Plan
Field mapping connects the old system to Salesforce.
A simple mapping table might look like:
Old System Salesforce
Customer Name Account Name
Contact Email Email
Phone Number Phone
Customer Type Account Type
Do not assume that fields with similar names have the same meaning.
Review the purpose and data format of each field before mapping it.
- Plan Record Relationships
Salesforce data is often connected.
For example:
Account → Contact → Opportunity
If these relationships are not planned correctly, records may be imported successfully but still be disconnected from each other.
External IDs and a carefully planned migration sequence can help maintain relationships between records.
- Consider Required Fields and Validation
Salesforce may have required fields, validation rules, or automation that did not exist in the old system.
A record that was valid in the old application may therefore fail during migration.
Review these requirements before the final import and determine how missing information should be handled.
- Test With a Small Data Set
Avoid making the first migration the full migration.
Start with a smaller sample of records.
Check:
Record counts
Field values
Relationships
Duplicate handling
Validation
Reports
Automation
If the test reveals problems, fix the process before moving the complete data set.
- Validate After Migration
Importing records without errors does not necessarily mean the migration was successful.
After migration, compare the source and Salesforce data.
Check whether important records were created correctly and whether relationships and key fields are accurate.
Users should also test real business processes using migrated records.
- Document the Process
Keep a record of the migration decisions.
Document:
Field mappings
Data transformations
Duplicate rules
Failed records
Data owners
Validation results
Final migration date
This documentation can be useful when future migrations or data corrections are required.
For organizations planning a complex Salesforce transition, Salesforce implementation services can support migration planning, configuration, testing, and implementation work.
Make Data Quality Part of the Migration
A Salesforce migration should not be viewed as a one-time import.
It is also an opportunity to establish better data practices for the future.
Once the migration is complete, define processes for maintaining accurate records, preventing duplicates, and reviewing important data regularly.
A clean migration gives users a better foundation for reporting, automation, customer management, and future Salesforce development.
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