Data Migration Services | CRM, ERP & Database Data Moves
Data Engineering & Analytics

Move Your Business Data Without Losing a Record

Switching to HubSpot, Salesforce or Zoho CRM, or replacing an old ERP or database, means moving years of customer and transaction records. We map, clean, test and reconcile every load, so the new system starts with data your team trusts.

Core stackSQL Server · Azure Data Factory · Microsoft Fabric · Azure Data Lake · Python · Power BI · PostgreSQL · Microsoft Azure

Is This You?

When a Data Migration Needs Planning

Data migrations usually start with a system switch and a date.

Moving servers and applications to the cloud?

Cloud migration moves infrastructure and applications. Data migration moves business records between systems.

Cloud migration
  • You're switching CRM or ERP

    The new system is chosen. Years of contacts, deals, orders and history need to move with you.

  • The old data is messy or duplicated

    The same customer appears three times with different details and nobody wants to carry that into the new system.

  • A previous migration left gaps

    Records went missing or links between contacts and deals broke last time, so nobody trusts the data.

  • The old system has a switch-off date

    A license or contract ends on a fixed date and the migration has to be finished before it.

What We Build

Six Parts of Every Data Migration

Pick one to see what it usually involves and how we typically build it.

Before anything moves

Data audit and field mapping

A review of what is in the old system and a field-by-field map to the new one, including the records and links that matter.

Typical examples
  • Object and field inventory
  • Field mapping to the new system
  • Rules for custom fields
Often built with
  • SQL
  • HubSpot
  • Salesforce
  • Zoho CRM
Discuss a project like this

For a clean start

Cleansing and deduplication

Merging duplicates, fixing formats and agreeing what to leave behind, so the new system does not inherit old problems.

Typical examples
  • Duplicate matching and merging
  • Format and value cleanup
  • Records to archive instead of move
Often built with
  • SQL
  • Python
Discuss a project like this

For no surprises on the day

Test migrations

Trial runs into a test copy of the new system, reviewed by your team before the real move.

Typical examples
  • Sample and full trial loads
  • User review of migrated records
  • Fixes before cutover
Discuss a project like this

For proof nothing was lost

Validation and reconciliation

Record counts, totals and spot checks compared between the old and new systems, then signed off by your team.

Typical examples
  • Record counts by object
  • Financial totals compared
  • Sample checks with your team
Often built with
  • SQL
  • Azure Data Factory
Discuss a project like this

For go-live day

Cutover with a rollback plan

A planned switch-over with a freeze window, a final load of recent changes and a tested way back if checks fail.

Typical examples
  • Cutover runbook
  • Final load of recent changes
  • Rollback steps
Discuss a project like this

For what stays behind

Archiving legacy data

Older records that do not need to move are archived in a searchable store, so the old system can be switched off.

Typical examples
  • Searchable archive
  • Retention rules
  • Old system shutdown
Often built with
  • SQL Server
  • Azure
  • AWS
Discuss a project like this
Approach

Mapping First. Moving Second.

Every engagement follows the same problem-first Systems Engineering Method we use across AppPotter.

  1. Audit the old system

    We review what data exists, how it is linked and how clean it is.

  2. Map to the new system

    Every field and relationship is mapped and agreed with the people who use the data.

  3. Clean and deduplicate

    Duplicates are merged and errors fixed before anything moves.

  4. Run test migrations

    Trial loads go into a test copy and your team checks the results.

  5. Cut over

    The final move runs in an agreed window with a rollback plan ready.

  6. Reconcile and archive

    Counts and totals are signed off. Legacy data is archived and the old system is switched off.

Outcomes

What Changes When the Process Runs on the Right System

We agree on what to measure during discovery, so success is defined before the build starts, not after launch.

  • Before: Duplicates carried from one system to the next

    After: A clean, deduplicated start in the new system

  • Before: Broken links between contacts, deals and orders

    After: Relationships mapped and checked before go-live

  • Before: Doubt about whether everything arrived

    After: Reconciled counts and totals your team signs off

  • Before: A switch-off date that puts the move at risk

    After: A plan built backwards from your deadline

  • Before: Paying to keep an old system for its history

    After: Legacy data archived so the old system can be retired

Technology

Chosen for Your Systems, Not Our Preferences

We move data between CRM, ERP, accounting and database systems, including HubSpot, Salesforce, Zoho CRM and SQL Server. Tools are chosen per migration, from native import tools to Azure Data Factory and SQL scripts.

Core stack

Where we have the deepest production experience

  • SQL ServerData
  • Azure Data FactoryPipelines
  • Microsoft FabricData platform
  • Azure Data LakeStorage
  • PythonData engineering
  • Power BIReporting
  • PostgreSQLData
  • Microsoft AzureCloud

Also used when the project calls for it

Data platforms
  • Snowflake
Sources we migrate from
  • Oracle
  • MySQL
Cloud
  • AWS
Who You Work With

Senior Engineers, Directly Involved

  • Founder-led delivery

    Parth and Umesh are personally involved in every engagement.

    From scoping the work to standing behind its outcome, backed by Parth's 14+ years of enterprise technology and delivery experience.

    Meet our leadership
  • Current engagement · under NDA

    A long-term software engagement with a US-based technology company.

    Client identity and project details are undisclosed due to confidentiality obligations. We treat your work the same way.

    See our approach
Engagement

Ways to Work Together

  • Advisory & Discovery

    Short-term Strategy Engagements

    For a focused, short-term engagement - an assessment, an architecture review, or technical due diligence - before any build begins.

    • Comprehensive architecture reviews
    • Due Diligence of your tech stack
    • Roadmap and Estimation
  • Fixed Price

    Fixed Cost Model

    For clearly-scoped integration or build work, where the outcome and boundaries are already well defined.

    • Change Management process
    • Milestone-based delivery
    • Quality & SLA Commitments
  • Dedicated Team

    Dedicated Product Engineering Team

    For long-term product or systems work - a sustained AppPotter engineering team working against your roadmap, not rotated project to project.

    • Seamless onboarding and roadmap planning
    • Fixed Monthly Retainer
    • PO/Tech-lead Collaborations
Parth JotangiyaUmesh Sohaliya

Whichever structure fits, Parth and Umesh are personally involved, from scoping the engagement to standing behind its outcome.

Meet our leadership
Where This Fits

Part of Business Systems Engineering

Connecting the operational systems, workflows and data a growing business runs on.

Questions

Data Migration FAQs

Still unsure? A 30-minute conversation usually answers the rest.

Book a call

Most CRM, ERP, accounting and database systems with an export option or an API, including HubSpot, Salesforce, Zoho CRM and SQL Server.

Start with the switch-off date

Tell Us What You Are Moving and When

We'll look at your old and new systems and tell you honestly what the migration involves.

Book a GTM Systems Assessment

30-minute call · No obligation · No sales pitch

Or send us a message

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