EVOTECH digital · custom software · Custom Business Software

Data Migration to Your New System

Move your data cleanly and safely from old tools into new software, with mapping, validation, and a rollback plan so nothing is lost in the switch.

5.0· 14 Google reviews

A migration you can trust

Switching systems is where good data goes to die, if the migration is rushed. Records get dropped, fields land in the wrong place, and duplicates multiply. We treat migration as its own careful project: understand the old data, map it to the new structure, and verify the result before anyone relies on it.

The goal is that on day one in the new system, your data is complete, correct, and in the right shape, not a mess someone spends months cleaning up.

  • Audit of the source data and its quirks before moving anything
  • Field-by-field mapping from old structure to new
  • Cleaning of duplicates, bad formats, and stale records
  • Validation that counts and key values match after the move
  • A trial run before the real cutover
  • A rollback plan if something isn't right

Cut over without losing days

Migrations often have to happen without shutting the business down for a week. We plan the cutover so the switch is quick and reversible, with a dry run first so the real migration holds no surprises.

We also handle the awkward reality that old data is rarely clean. Part of the job is deciding, with you, what to fix, what to archive, and what to leave behind.

  • A rehearsed dry run before the live migration
  • A cutover plan that minimizes downtime
  • Decisions with you on what to migrate, archive, or drop
  • Verification after cutover before the old system is retired
  • Support for common sources: databases, spreadsheets, and app exports

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Frequently asked questions

How do we know nothing was lost in the migration?

We validate after the move by reconciling record counts and checking key values against the source, and we run a dry run first so problems surface before the real cutover. We don't retire the old system until the new data is verified.

What if our old data is messy?

It usually is, and that's expected. Part of the work is cleaning duplicates and bad formats and deciding together what's worth migrating versus archiving. Being honest about data quality up front is what keeps the new system from inheriting old problems.

Will we have to stop working during the migration?

We plan cutovers to minimize downtime, often doing the heavy lifting ahead of time and reserving only a short window for the final switch. The exact approach depends on your data volume and how live the source system is.

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