Playbooks & Checklists

Data Migration Checklist

A checklist for validating a data migration before and after cutover: profiling, field mapping, control totals, and post-migration reconciliation.

What's in it

  • Before migrationProfile the source, map fields, and define the key.
  • During migrationSample first, and log every transformation.
  • After migrationRow counts, control totals, and a source-vs-target diff.
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A validation checklist for data migrations, the steps that catch silent data loss before and after cutover: profiling the source, agreeing the field mapping, defining the key, and reconciling row counts and control totals once the data lands.

Enter your email and we'll send the PDF. It's the checklist we'd want taped to the monitor during a migration.

How to use it

  1. 1

    Profile and map before you move

    Know the source's shape and the field mapping before touching the target.

  2. 2

    Sample, then run

    Migrate a sample and validate it before the full load.

  3. 3

    Reconcile after cutover

    Check counts and control totals, then diff a source export against a target export.

Validate a migration by diffing a source export against the target export in SheetCompare.

SheetCompare diffs two versions of a workbook cell by cell, so period-over-period changes are obvious.

Frequently asked questions

Is it free?

Yes. Email it to yourself, no payment or account. We'll occasionally send useful content; unsubscribe anytime.

What kind of migrations is it for?

Any tabular data move: system-to-system, CSV imports, database migrations, or platform switches.

What format is it?

A PDF you can read on any device or print.

Compare two versions of any spreadsheet

Drop two files into SheetCompare and see every changed cell. Free, private, and runs in your browser.