Dynamics 365 to Salesforce — 1.2M Records
Migrated 1.2 million records from Microsoft Dynamics 365 to Salesforce in a phased big-bang over a single weekend — 99.9% accuracy, zero data loss, full reconciliation report signed off within 24 hours.
We move your business data from any legacy CRM, ERP, spreadsheet, or database into Salesforce — with field-level validation, automated deduplication, full reconciliation reporting, and a tested rollback plan. Every record arrives in Salesforce exactly as it existed in your source system.
Every stage of the data migration lifecycle covered — from source system audit and data quality assessment through ETL pipeline build, test migration, production go-live, and post-migration validation.
We extract a sample dataset from your source system and audit it for completeness, consistency, duplicates, format issues, and data quality problems — producing a Data Quality Report before any migration work begins, so you know exactly what you are moving.
We produce a field-level mapping document covering every source field, its Salesforce target, the transformation rule applied (format conversion, picklist mapping, default value, null handling), and any fields that require enrichment or consolidation before loading.
Before loading any data, we run automated cleansing and deduplication against your source extract — standardising formats, correcting common errors, merging duplicates, and removing junk records — so you do not import years of data quality problems into your new Salesforce org.
We build the Extract, Transform, Load pipeline using Salesforce Bulk API 2.0, Data Loader, custom Apex import jobs, or specialist ETL tooling (Informatica, Talend, MuleSoft Data Weave) — selected based on your data volume, complexity, and available infrastructure.
We run at least one full test migration into a sandbox or partial-sandbox environment before production — loading every object in the correct dependency order, running automated reconciliation counts, and producing a field-level accuracy report. Issues found in test are fixed before production day.
We execute the production migration against a documented cut-over runbook — including data freeze timing, load sequence, go/no-go criteria, real-time progress monitoring, and a tested rollback procedure if any go/no-go gate is not met before the deadline.
After production migration, we run automated reconciliation across every migrated object — comparing total counts, spot-checking field values, and verifying relationship integrity — then produce a Migration Completion Report signed off by your team before the migration is closed.
We help you establish data quality rules, validation processes, and duplicate management configuration inside Salesforce — so the data that arrives clean stays clean after your team starts using the org.
We have delivered migrations from every major CRM, ERP, database, and flat-file source — including legacy systems with no official API and data held across multiple disconnected spreadsheets.
Dynamics 365 Sales, CRM 4.0, CRM 2011–2016
Contacts, companies, deals, activities, forms
Leads, contacts, accounts, opportunities, custom modules
Persons, organisations, deals, activities, notes
Accounts, contacts, opportunities, cases, custom fields
Contacts, leads, accounts, potentials, tickets
Customers, orders, products, pricing, vendor data
Customer master, AR, AP, order management
Customers, opportunities, orders, invoices
Customer and supplier records, transactions
Multi-sheet workbooks, legacy exports, master data lists
System exports, bulk data files, legacy archives
Direct database migration via JDBC or export
Direct migration from MSSQL tables and views
Direct extract from Oracle schemas
NoSQL and relational AWS database migration
Lead and contact records, programme membership
Subscriber lists, tags, segments, campaign data
Tickets, organisations, users, satisfaction scores
Tickets, contacts, companies, agents, categories
Customers, orders, products, transactions
Any source with extractable data — we handle the rest
The migration strategy is determined by your data volume, business downtime tolerance, go-live timeline, and rollback risk appetite — not by what is quickest to execute.
All data migrated from the legacy system to Salesforce in a single, planned cut-over event — typically over a weekend or planned downtime window. The legacy system is decommissioned immediately after migration validation.
Data migrated in defined tranches — typically by object type, region, business unit, or date range — allowing the business to validate each phase before the next begins. The legacy and Salesforce systems run in parallel during the migration window.
Historical data is migrated in an initial bulk load, then a delta sync process captures and loads all records created or updated in the legacy system after the initial load — until the final cut-over when the delta closes to zero.
A structured, gate-controlled migration process — no phase proceeds until the previous phase is validated and signed off. No surprises on production migration day.
We connect to or receive an export from your source system and run automated data profiling — counting records per object, assessing field completeness rates, identifying format inconsistencies, flagging duplicates, and documenting all findings in a Data Quality Report before any migration design begins.
We produce a field-level mapping spreadsheet — every source field mapped to its Salesforce target with the transformation rule, data type conversion, picklist mapping, and null handling documented. This is reviewed and signed off by your data owner before ETL build begins.
We run automated cleansing against your source extract — phone number formatting, email validation, address standardisation, picklist value harmonisation, and fuzzy-match deduplication — producing a before/after record count report for your sign-off.
We build the Extract, Transform, Load pipeline targeting Salesforce Bulk API 2.0 — processing records in the correct object dependency order (Accounts before Contacts, Contacts before Opportunities) with rate limit management, error collection, and automatic retry on transient failures.
We execute a full test migration into sandbox — loading every object, running automated record count reconciliation, spot-checking field values across a random sample, and producing a Test Migration Report. All issues are fixed before the production run is scheduled.
We provide your data owners with access to the sandbox post-test-migration and a structured UAT checklist — verifying record counts, sampling key accounts and contacts, checking opportunity amounts, and confirming relationship integrity — before production is approved.
We execute the production migration against a cut-over runbook with defined go/no-go gates at each stage. Progress is monitored in real time. If any gate is missed, the documented rollback is executed and the migration is rescheduled — never forced through with unresolved issues.
Within 24 hours of go-live, we run automated reconciliation across every migrated object — total record counts, relationship integrity, and field-level spot checks — and produce a Migration Completion Report confirming the migration is 100% complete and accurate.
Data migration is one of the highest-risk activities in any Salesforce project. The difference between a smooth migration and a catastrophic one is methodology — not luck.
We never migrate data to production that has not been validated in a sandbox test migration first. Every production migration day is a repeat of a rehearsed, validated run — not the first attempt.
Every migration we deliver includes a tested, documented rollback procedure — executed in sandbox before production day. If a go/no-go gate is missed, we roll back. Migration is never forced through with unresolved data quality issues.
We never load dirty data into Salesforce. Deduplication, format standardisation, and data quality fixes happen before the ETL pipeline runs — so you start your new Salesforce org with clean, trustworthy data.
We produce automated reconciliation reports at test migration and production stages — total counts, relationship integrity, and field-level spot checks — not manual spot checks across a handful of records.
We use Salesforce Bulk API 2.0 as our primary loading mechanism — capable of processing millions of records reliably within Salesforce governor limits, with parallel job management and rate limit monitoring.
We handle client data under strict data processing agreements. Source data is stored only for the duration of the migration project, access is role-restricted, and all temporary data stores are securely deleted at migration close.
Data migration specialists at Rackwave hold Data Architect, Integration Architect, and Platform Developer certifications — the credentials most relevant to large-scale data migration projects.
Salesforce Administrator
Advanced Administrator
Sales Cloud Consultant
Service Cloud Consultant
Marketing Cloud Consultant
Platform Developer I
SF Agentforce Specialist
Integration Architect
Data Architect
Salesforce Marketing Associate
At Rackwave Technologies, we deliver tailored IT Consulting Services across a wide range of industries. Our industry-focused approach ensures that every solution aligns with specific operational challenges, compliance requirements, and growth objectives—rather than generic technology implementations.
IT systems for real-time tracking and efficient operations.
Explore MoreMillions of records. Multiple source systems. Complex transformation logic. See how we have delivered every migration on time, at 99.8%+ accuracy, and with a signed-off completion report.
Migrated 1.2 million records from Microsoft Dynamics 365 to Salesforce in a phased big-bang over a single weekend — 99.9% accuracy, zero data loss, full reconciliation report signed off within 24 hours.
Consolidated patient and account data from 4 legacy systems (2 x Zoho, Sugar CRM, Excel) into a single Salesforce org — deduplicating 38% of contacts and reducing the master contact count from 480K to 302K clean records.
Migrated 850K contacts, 120K companies, 240K deals, and 8 years of activity history from HubSpot to Salesforce — including custom property mapping to 47 custom Salesforce fields — completing in 3 weeks.
Real feedback from teams who moved their most critical business data to Salesforce — and woke up the next morning with everything exactly where it should be.
"We had 14 years of data in Dynamics CRM — accounts, contacts, opportunities, activities, attachments. Rackwave mapped every field, ran three test migrations, and delivered the production run on a Saturday. By Monday morning our team was in Salesforce with every record exactly where it belonged. The reconciliation report confirmed 99.9% accuracy."
"We tried to do the migration ourselves and ended up with 40% duplicate contacts and missing account hierarchies. Rackwave came in, ran a proper data quality audit, deduped 120,000 contacts down to 78,000 clean records, and re-migrated everything correctly. Their process is methodical in a way ours never was."
"Eight years of HubSpot history migrated to Salesforce — including custom properties, deal pipelines, and engagement data. Rackwave's field mapping document alone was the most thorough piece of migration documentation we had ever seen. Completed in three weeks. Zero open issues at handover."
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“Rackwave Technologies has significantly improved our marketing performance while providing reliable cloud services. We’ve been using their solutions for a while now, and the experience has been seamless, scalable, and results-driven.”
David Larry
Founder & CEOEverything you need to know about our Salesforce Data Migration services.
Migration timelines depend on data volume, source system complexity, data quality, and the number of objects being migrated. A focused migration of a single CRM (contacts, accounts, opportunities) with under 200,000 records typically takes 3 to 5 weeks from discovery to production go-live. A large-scale migration of 1M+ records from multiple source systems with complex transformation and deduplication requirements typically takes 8 to 14 weeks. We scope every migration individually and provide a fixed timeline before the project begins.
We target 99.8% field-level accuracy on every migration — measured by automated reconciliation comparing total record counts and spot-checking field values across a statistically significant random sample after migration. This accuracy is verified by a Migration Completion Report signed off by your data owner. In practice, our typical accuracy across all migrations is 99.9%+.
Yes. Dynamics CRM and Dynamics 365, HubSpot, and Zoho are among the most common source systems we migrate from. We have delivered multiple production migrations from each — including complex scenarios such as Dynamics custom entity migration, HubSpot engagement history migration, and Zoho multi-module consolidation. We also migrate from Sugar CRM, Pipedrive, Vtiger, Freshsales, and most other CRM platforms.
We migrate all standard Salesforce objects — Accounts, Contacts, Leads, Opportunities, Cases, Activities (Tasks and Events), Campaigns, Campaign Members, Contracts, Products, and Price Books — as well as any custom objects in your Salesforce org. We also migrate files and attachments to Salesforce Files (ContentDocument and ContentVersion) where required, though this is scoped separately due to storage implications.
Yes. Data deduplication is a standard part of our pre-migration data cleansing process. We run automated fuzzy-match deduplication across the source extract — identifying and merging duplicate accounts, contacts, and leads based on configurable matching rules. We produce a before/after report showing the number of records merged and the match criteria applied, which is reviewed and signed off by your data owner before the ETL pipeline runs.
A test migration is a full execution of the migration pipeline into a sandbox or partial-sandbox Salesforce environment — loading every object in dependency order, running automated reconciliation, and producing a validation report. It is important because it reveals data quality issues, transformation problems, and relationship mapping errors that are invisible in the mapping document but apparent the moment data is loaded. Every issue found in a test migration is fixed before the production run is scheduled. We never run a production migration without at least one successful, validated test migration first.
We include a tested rollback plan in every migration. Before production day, we document the rollback procedure and verify it works in sandbox. If a go/no-go gate is missed during production — such as a record count reconciliation failure or a critical data relationship error — we execute the rollback, restore the system to its pre-migration state, and reschedule the migration after the root cause is resolved. We never force a migration through with unresolved issues.
Yes. Org-to-org Salesforce migrations — merging multiple orgs, splitting an org, or migrating from a partner org to a new production org — are a common migration type we deliver. The process follows the same audit, mapping, test, and validation methodology but uses Salesforce APIs directly for extraction, avoiding the need to export to intermediate files.
Yes, with caveats. Activities (Tasks and Events) can be migrated to Salesforce and associated with the correct Account, Contact, or Opportunity. However, Salesforce does not support importing future recurring Events via API, and some legacy systems store activities in formats that require transformation before loading. We assess activity data separately during the data audit phase and document any limitations before migration begins.
Yes. Rackwave Technologies operates as a data processor when handling client data during a migration project. We sign a Data Processing Agreement covering the lawful basis for processing, data retention and deletion commitments, security controls, and sub-processor disclosure. Source data is stored only for the duration required to execute and validate the migration, then securely deleted. We can share our standard DPA for review during the scoping phase.