Move the data. Leave the mess.

Almost never during the prep work. Source systems stay live the entire time we're profiling, mapping, and running test migrations. Your team keeps working.

The cutover does require a brief freeze on data entry, usually a single weekend, where we run the final refresh and validate. After cutover, the old system typically stays available read-only for a known window before retirement.

For simple, small migrations with clean data, yes. The import wizard is good for what it does. The problem is that "simple, small, and clean" describes very few real migrations.

Anything with relationships across modules, owner reassignments, custom fields, picklist mismatches, deduplication, or volume above a few thousand records will require work the import wizard isn't built to do. The import is one step of eight, and it's the easy step. The other seven are where the actual migration happens.

Cleanup is scoped separately. Many clients carve cleanup out to keep cost down and migrate the data as-is, even if it's not perfect. That's a valid choice, especially if the data is going into modules where the team will be touching it anyway and natural cleanup happens in normal use.

If cleanup is in scope, we plan it deliberately: what gets fixed, what gets flagged, what gets left alone. Cleanup can also happen after migration as a separate engagement once you can see the data in the new system and decide what's worth investing in.

That's part of what the transition database is for. Records you don't want in CRM or Books or Inventory but might want to look up later get parked in the transition app. Searchable, accessible to your team, kept on Zoho infrastructure, no extra cost.

This is usually a better answer than either bringing everything into the new system (clutters it forever) or shutting the old system down completely (loses access).

Most don't. Few legacy systems have a "click here to export everything" button. We pull data through the API where one exists, or work with your IT team or the vendor to extract directly from the database. For some legacy SaaS tools we've gone as far as scraping the front-end when no other option existed.

Whatever the source, we've extracted from it before or something close enough to it. The extraction step is rarely the blocker we expect it to be.

Genuinely depends on the source data, the destination shape, and how much cleanup is in scope. A focused single-source migration can run a few thousand dollars. A multi-system migration with cleanup and a transition database can run substantially more.

The paid scope study is how we get to a real number. We sample your source data, scope the work, and quote a fixed price. The scope study cost is credited toward the migration if you move forward.