Data migration is where implementation projects most often go wrong, but the businesses that avoid disaster tend to follow the same sequence, regardless of what system they're moving to or from.

Audit Before You Move Anything

Understand what's actually in the source system — duplicate records, unused fields, inconsistent formats — before deciding what to migrate. Migrating everything by default just moves the mess.

Map Fields Explicitly, Don't Assume

A field called "Status" in the old system rarely maps cleanly to a field with the same name in the new one — explicit field-by-field mapping, reviewed by someone who understands both systems, catches mismatches before they cause data loss.

Migrate to a Staging Environment First

Running the migration into a test environment first lets you validate the results against the source data without any risk to the live system — problems get caught before they matter.

Schedule the Cutover for Low-Activity Hours

Even a well-tested migration benefits from happening during the business's quietest window, minimizing how many people are affected if anything takes longer than planned.

Keep the Old System Read-Only, Not Deleted

Keeping the previous system accessible in read-only mode for a defined period after cutover gives a safety net for anything the migration missed, without the risk of new data being entered in two places at once.