Move to Salesforce with Clean, Trusted Data
Migrate customer, sales, service, and operational data to Salesforce without disruption. Our Salesforce data migration services help you transfer, validate, reconcile, and optimize data so your teams can work with confidence from day one.







A Salesforce migration gives your sales, service, and marketing teams one home for every customer record, plus reporting and AI features built in. It delivers the most value in these three situations.

Migrate from Another CRM
Moving from HubSpot, Zendesk, Dynamics, Zoho, or Pipedrive? Keep every record and its history while you gain the reporting your growing team needs.
Upgrade from Classic to Lightning
Get a faster, modern interface while your list views, reports, workflows, and custom code carry over.
Require Data Migration
After a merger or acquisition, combine your orgs into one clean, mapped, deduplicated Salesforce instance.
Our Salesforce data migration services help organizations move customer, sales, service, and operational data into Salesforce without disruption. Every migration includes data mapping, validation, reconciliation, and post-launch support to ensure accuracy, continuity, and user adoption from day one.

We move your Classic org to Lightning Experience without losing custom code, page layouts, or user habits. You get faster pages, modern reports, and the new Lightning App Builder.Your Visualforce pages, S-controls, and JavaScript buttons get rebuilt as Lightning components or LWC code.

Two orgs slow your team down. You get duplicate accounts, mixed reports, and confused users. e merge orgs into one — accounts, contacts, opportunities, custom objects, files, and Chatter history — with no data loss and a clean role hierarchy.

Dynamics 365 holds your data in a different schema, with different field types and process flows. We map every entity, build matching custom objects in Salesforce, and move all attachments, notes, and workflow rules. Power BI dashboards get rebuilt in Tableau or Einstein Analytics.

HubSpot is a marketing-first CRM. Sales and service teams hit a wall as they grow. We move every contact, company, deal, ticket, email log, form submission, and workflow into Salesforce — with full marketing history kept intact for Marketing Cloud or Pardot.

Zendesk handles tickets well but stops short of full case management, omnichannel routing, and AI-driven service. We move every ticket, customer, agent macro, knowledge article, and SLA policy into Service Cloud — with case history, internal notes, and triggers fully preserved.

Whether you run Zoho, Pipedrive, Freshsales, SugarCRM, Insightly, or a homegrown system, we handle the move. Our migration engineers map your fields, build the data model in Salesforce, and run a full test cycle before go-live.

After a merger or acquisition, two Salesforce orgs create double the work. We consolidate them into one — handling duplicate detection, profile merging, role hierarchy redesign, and automation conflict resolution. Your business runs on one source of truth from day one.
Know exactly what will move, what won't, and where the risk sits - before cutover.
Every Salesforce data migration we run lands your data in a model built for your cloud. Our engineers have hands-on experience on all eight clouds below, so a CPQ price book or a Financial Services household arrives mapped the way that cloud expects.

A migration only gets one shot at a cutover. Here's the difference between a manual "lift and shift" and an engineered migration that lands right for the first time.
How We Work
You sign off on every wave before the next one starts, and every record is traceable from source to Salesforce. That’s how standard projects go live in 6 to 12 weeks, with a weekend cutover and no lost data.
We audit every object, field, automation, integration, role, and report, so nothing surprises you later.
We design your target data model around how your business runs today, not a copy of the old system.
Workflows and triggers are rebuilt in Flow and Apex and tested in a sandbox first.
Every field gets a documented mapping and conversion rule that you approve.
We load metadata, master data, transactions, and then history, with your sign-off after each wave.
You get 30 to 90 days of hypercare, monitoring, training, and data health dashboards.
The success of a Salesforce data migration depends on choosing the right tools for your data volume, source systems, and business requirements. We use Salesforce-native tools, enterprise integration platforms, and custom migration frameworks to ensure accurate, secure, and low-risk data transfers.

Salesforce’s free desktop tool and one of the most widely used Salesforce data migration tools. We use it for CSV-based bulk inserts, updates, and deletes of up to 5 million records, with External IDs to keep record relationships intact.

A web-based loader from MuleSoft that needs no installation. We use it for scheduled imports and exports, so recurring data loads run automatically during phased migrations.

Salesforce’s built-in, browser-based import tool for up to 50,000 records at a time. We use it for small, one-time loads of leads, contacts, or accounts, where a full ETL setup isn’t needed.

An enterprise integration platform that moves data from several sources at once. We use it when a migration pulls from ERPs, legacy databases, and other CRMs together, and when the same pipelines will keep running as integrations after go-live.

An enterprise data management platform with strong data quality, governance, and audit controls. We use it for large, regulated migrations in BFSI and healthcare, where every change to your data must be tracked.

A flexible ETL platform for building custom data pipelines. We use it when your data needs complex cleansing, matching, or reformatting before it reaches Salesforce.

A low-code integration platform with ready-made Salesforce templates. We use it for mid-market migrations that need to move fast, since its prebuilt connectors cut setup time.
A well-run Salesforce migration changes daily work, not just where data lives. Sales, service, and marketing share one record, reports update in real time, and your data is ready for AI from day one.
Your sales, service, and marketing teams all see the same customer record. No more switching tabs or asking "which system is right?"
Migration is the perfect moment to clean dead records, merge duplicates, and standardize fields. You start your new Salesforce org with data your team can actually trust.
Old CRMs come with old maintenance bills, custom servers, and integration hacks. After migration, you run on Salesforce's cloud — with one license fee, automatic upgrades, and no on-prem upkeep.
Lightning Experience, mobile-first design, and AI-assisted features make Salesforce easier to use than most legacy CRMs. Teams stop avoiding the system and start working in it.
With clean pipeline data and Lightning dashboards, your reps spend less time on data entry and more time closing deals. Most teams see a 20–30% drop in admin work after migration.
Salesforce Einstein, Agentforce, and Data Cloud only work when your data is clean and well-structured. A proper migration sets your records up for AI scoring, forecasting, and copilot features from day one.
Native Salesforce reports, Tableau, and Einstein Analytics provide real-time views of the pipeline, service SLAs, and customer health. Decisions move from gut to data.
Role-based access, field-level security, audit trails, and Salesforce Shield provide compliance with HIPAA, GDPR, SOC 2, and PCI without additional tools.

Choosing Minuscule for Salesforce data migration services means one engineering team owns your project from audit to hypercare. Every record passes a three-stage check before sign-off, and clients save 15–25% on license costs within 90 days of go-live.
Engineering Partners, Not Just Consultants: Certified engineers write the code, run the migration, and own the result.
Industry-Ready Migration Playbooks: We know the data models, compliance rules, and user habits of nine industries.
AI-First Approach: Your migrated data is ready for Einstein, Agentforce, and Data Cloud, with no second cleanup project.
Zero Data Loss Promise: Source counts, mapping checks, and post-load reconciliation. If records don’t match, we don’t sign off.
Smart Cost Control: License, storage, and feature audits during the move help you pay only for what you use.
One promise: Salesforce that fits your business.
09
Industries
75+
Implementations
Salesforce data migration, also called SFDC data migration, is the process of moving records, files, and history from another CRM, database, or Salesforce org into Salesforce. Every migration we run includes auditing, cleaning, mapping, and validating each record, so your teams start with complete, accurate data and reports they can trust.
We cover the full move, from source audit and data model design to field mapping, wave-based loading, reconciliation, and post-launch support. Our services include CRM-to-Salesforce moves, Classic to Lightning upgrades, org-to-org migrations, and org merges, all delivered with an AI-ready data foundation for Einstein, Agentforce, and Data Cloud.
We migrate data from HubSpot, Microsoft Dynamics, Zoho, Zendesk, Pipedrive, other Salesforce orgs, homegrown CRMs, SQL databases, mainframes, Excel, and older ERP modules. We also combine data from multiple sources into one org, with activity history, attachments, notes, and email consent data intact.
The most common challenges are poor source data, duplicate records, broken parent-child relationships, lost activity history, mismatched fields, and automations firing during loads. We prevent each one with a full source audit, explicit field mapping, External IDs, the correct load order, and automations paused until cutover is complete.
We clean, deduplicate, and standardize data before it’s loaded, not after. Every field gets a documented mapping rule, and each record passes our three-stage check: source count, mapping validation, and post-load reconciliation. If records don’t match, we fix them before you sign off on the wave.
No. We run most of the work in a sandbox and complete the final cutover over a weekend, so your team starts Monday with data in place. We back up existing Salesforce records first, match them with External IDs to prevent duplicates, and rebuild and test your automations so workflows keep running after go-live.
Minuscule holds ISO 27001 certification and AICPA SOC 2 Type II compliance, and every transfer follows our documented, governed data handling process. After go-live, we configure Shield, field-level security, role-based access, and audit trails to help US companies meet HIPAA, GDPR, and PCI requirements.
Follow these seven steps in order.
Step 1 — Audit your source data. Export your current data and assess its quality. Count total records by object. Identify duplicates, incomplete records, outdated entries, and formatting inconsistencies. You cannot migrate what you don't understand.
Step 2 — Define your Salesforce data model. Design the target objects, fields, relationships, and record types in Salesforce before migration. Your source system's structure will not match Salesforce one-to-one. Map every source field to a specific Salesforce field, note data type differences, and document transformation rules.
Step 3 — Clean your data before loading. Remove duplicates, standardize formats (phone numbers, addresses, dates), fill critical blank fields, and archive records you no longer need. Loading dirty data into Salesforce creates problems that multiply fast.
Step 4 — Establish migration order. Salesforce enforces referential integrity — you must load parent records before child records. Typical order: Accounts first, then Contacts, then Opportunities, then Activities, then custom objects. Map record relationships using External ID fields to preserve associations.
Step 5 — Run test migrations in sandbox. Never load data directly into production. Run at least two full test cycles in a Salesforce sandbox. Validate record counts, field values, relationships, and automation triggers after each test. Fix mapping errors between cycles.
Step 6 — Execute production cutover. Schedule the production migration during low-usage hours. Disable automation rules (Flows, triggers, validation rules) during loading to avoid errors and governor limits. Re-enable and test after loading completes. Validate record counts and spot-check critical records.
Step 7 — Monitor post-migration. Check reports, dashboards, and automations for the first two weeks after go-live. Verify that integrated systems still sync correctly. Address data quality issues immediately — they get harder to fix over time.
Minuscule Technologies follows a structured five-phase migration process — discovery, architecture, sandbox validation, cutover execution, and post-migration optimization — across every engagement.
Small projects start around $15,000 to $25,000, and mid-size projects run $40,000 to $150,000, depending on data volume, source system, custom logic, and number of users. Our free migration assessment gives you an exact quote before any work begins.
Every migration includes 30 to 90 days of hypercare, with monitoring, issue fixes, and data health dashboards. We train your admins, managers, and users through live sessions, role-based videos, in-app guidance, and a 30-day Q&A window. After that, our Managed Services team offers SLA-backed support from our US office in Katy, Texas.
The Salesforce Pulse: Insights and Innovation
Trusted by enterprises for innovation, performance, and proven results.







Start your Salesforce migration with a free assessment. You get a defined scope, the right tools, a confirmed timeline, and an exact quote before any work begins.
Speak With a Certified Migration Consultant