LST Consultancy

Salesforce Data Migration Services

Move your data to Salesforce clean, complete and on schedule. LST Consultancy plans and runs Salesforce data migrations from HubSpot, Zoho, Dynamics 365, legacy databases, spreadsheets and other Salesforce orgs, with field-level mapping, sandbox rehearsals and record-count reconciliation after go-live.

Salesforce consultants reviewing a data migration plan on screen
Glowing cloud above a data chip, representing records moving into Salesforce

What Is Salesforce Data Migration?

Salesforce data migration is the process of extracting data from an existing system, cleaning and transforming it to fit the Salesforce data model, and loading it into Salesforce objects such as Accounts, Contacts, Leads, Opportunities, Cases and Files, while keeping the relationships, ownership and history intact.

A typical project runs through assessment, field mapping, cleansing, a test load in a sandbox, the production load and post-migration validation. LST Consultancy runs every one of those steps, so your team starts in Salesforce with data it can trust.

Clean Before It Moves

Duplicates merged, formats standardised and required fields filled before a record reaches Salesforce.

Relationships Intact

Accounts, contacts, opportunities and files stay linked, with original owners and created dates.

Verified After Go-Live

Record counts reconciled object by object and sampled field checks signed off with your team.

Our Salesforce Data Migration Services

End-to-end migration services, owned by one team from the first data audit to post-go-live support.

Data Assessment & Migration Planning

We profile every source object, measure volumes and data quality, decide what to migrate, archive or leave behind, and write a migration plan with scope, risks and a cutover date.

Field Mapping & Data Modelling

A field-by-field mapping document from source to Salesforce, covering picklist translation, record types, external IDs and any custom objects or fields the org needs.

Data Cleansing & Deduplication

Duplicate accounts and contacts merged, addresses and phone numbers standardised, broken emails fixed and required fields filled before the load.

Extraction, Transformation & Loading

Repeatable ETL jobs built with Data Loader, the Bulk API 2.0 or an ETL platform, loading objects in dependency order and upserting on external IDs.

Org-to-Org Migration & Org Merges

Consolidating Salesforce orgs after an acquisition, splitting a business unit out or moving to a fresh org, with record IDs re-linked across every lookup.

Validation, Testing & Hypercare

Record-count reconciliation, sampled field-level checks, user acceptance testing and a hypercare window after go-live to fix anything users report.

Migrate to Salesforce From Any CRM, ERP or Database

What a Well-Run Salesforce Data Migration Does for Your Business

Protect Data Integrity

Parent–child relationships, record owners and created dates survive the move, so every contact still belongs to the right account.

Minimise Downtime

Cutover runs over a low-activity window, with a delta load for records created after the main migration.

Keep Reporting Reliable

Historical opportunities and activities keep their original dates, so pipeline and win-rate reports work from day one.

Stay Secure & Compliant

Encrypted transfer, least-privilege integration users and personal data handled in line with GDPR and CCPA.

Drive User Adoption

Clean, deduplicated records mean reps find what they expect, and stay in Salesforce instead of old spreadsheets.

Create One Source of Truth

Data from every legacy system lands in one Salesforce org, so sales, service and finance work from the same records.

Salesforce Data Migration Sequence: Parents Before Children

Salesforce links records by ID, so a contact can only point to its account once that account exists. We load objects in dependency order and keep each legacy ID in an external ID field, so every lookup resolves on the first pass and any load can be rerun safely.

This is where most migrations go wrong: lookups that fail on load, lost created dates and owners, attachments over size limits, and triggers and flows firing on old data. Our load plan handles each one before cutover.

Digital cloud made of connected data points on a dark background
  1. Users & Roles

    Owners and the role hierarchy first, so every record has a valid owner.

  2. Accounts

    Parent accounts, then child accounts that reference them.

  3. Contacts & Leads

    Linked to their accounts through external IDs.

  4. Products & Price Books

    The catalogue that opportunities and quotes depend on.

  5. Opportunities

    Deals and line items, with original stages and close dates.

  6. Cases & Custom Objects

    Service history and any custom data model objects.

  7. Activities & Files

    Emails, tasks, notes and files attached to their parents last.

Which Salesforce Data Migration Tool Is Right for You?

We are tool-agnostic. The right choice depends on record volume, how often the load must run and how much transformation the data needs.

Comparison of Salesforce data migration tools
ToolBest forVolumeTransformation
Data Import WizardSimple one-off imports by adminsUp to 50,000 records per importNone. Data must be prepared first
Data LoaderMost migrations; insert, upsert, delete, exportUp to 5 million recordsLimited. Pair with scripts or an ETL step
Bulk API 2.0Large, scripted, repeatable loadsMillions of records, processed asynchronouslyFull, in your own code
ETL platformsMuleSoft, Informatica, Talend, JitterbitComplex, multi-source or ongoing syncEnterprise scaleFull, with visual mapping and scheduling

Salesforce Data Migration Best Practices

Consultant planning a Salesforce data migration at his desk

Clean data. Confident go-live.

Most failed migrations come down to skipped basics. These are the rules we never skip.

Clean at the Source

Fix duplicates and formats in the extract, where it costs far less than fixing them in Salesforce after go-live.

Upsert on External IDs

Keep the legacy ID on every record so loads are repeatable and traceable back to the source.

Pause Automation

Bypass validation rules, flows and triggers for the migration user, then re-enable and test them.

Preserve Audit Fields

With Set Audit Fields upon Record Creation enabled, original created dates and creators carry over.

Rehearse in a Sandbox

At least two full, timed trial loads, so the production cutover holds no surprises.

Back Up & Plan Rollback

Full source exports and a pre-load Salesforce backup, with a written rollback path.

LST Consultancy team discussing a Salesforce project

Why Choose LST for Salesforce Data Migration?

Our Salesforce Data Migration Process

  1. Audit

    Inventory sources, objects and volumes, and profile data quality.

  2. Plan

    Choose the cutover approach, tools, load order and go-live date.

  3. Map

    Map every field, translate picklists and define external IDs.

  4. Cleanse

    Extract, deduplicate and transform data to the Salesforce model.

  5. Test

    Run full trial loads in a sandbox and fix every error.

  6. Migrate

    Freeze the source, load production in order and run a delta load.

  7. Validate

    Reconcile counts, re-enable automation and support users.

Salesforce Data Migration Checklist

The checks we sign off before, during and after every migration. Use it to plan your own project or to review a partner's plan.

Before the Migration

  • List every source system, object and record count
  • Agree what to migrate, archive or leave behind
  • Build the field mapping document and picklist translations
  • Add an external ID field to every target object
  • Deduplicate and standardise data in the extract
  • Back up all source data and the target org

During the Migration

  • Bypass validation rules, flows and triggers for the migration user
  • Enable Set Audit Fields upon Record Creation
  • Load objects in dependency order, parents first
  • Upsert on external IDs so loads can be rerun
  • Log every error file and fix the cause before reloading
  • Run a delta load for records created during cutover

After the Migration

  • Reconcile record counts object by object
  • Spot-check sampled records field by field with users
  • Check that files, notes and activities sit on the right parents
  • Re-enable and test automation
  • Confirm reports and dashboards match the source
  • Keep the source read-only until sign-off

Salesforce Data Migration FAQs

Find answers to common questions about migrating your data to Salesforce.

Still have questions?

Can't find the information you're looking for? Talk to our team about your migration.

Move Your Business Data to Salesforce With Confidence

Book a free migration assessment. We will review your source systems, estimate volumes and send a written plan with timeline and fixed cost.

Book a Free Migration Assessment