X-ERP Help

Test migration, checksums and acceptance

Prove that the new X-ERP data world is technically correct with repeatable test runs, checksums, borderline cases and real process paths.

The most convincing migration report is not a green “done”, but a chain of evidence that the department and technology understand together.

The truth is in the mapping

Counts check completeness, sums check magnitudes, referential controls check relationships and end-to-end tests check actual usability. Acceptance only occurs together.

From raw stock to controlled import

  1. Define expected counts, totals, balances, minimum/maximum values and error rate per object.
  2. Run a full test run with production volume in an isolated environment.
  3. Automatically compare source, staging and X-ERP and document deviations.
  4. Check targeted edge cases as well as random and risk-based samples.
  5. Let specialist users carry out real processes from searching to subsequent documents.
  6. After making corrections, repeat the entire run and obtain formal acceptance.

Evidence instead of gut feeling

  • All deviations are explained and approved.
  • Repetition produces identical results without duplicates.
  • Runtime fits in the cutover window.
  • Department confirms data and processes.

The typical breaking points

  • Only line numbers are compared.
  • Bug fixes are not regression tested.
  • A partial import is accepted even though end-to-end relationships are missing.

This is what you take with you

The migration is not “probably correct”, but rather comprehensibly proven.

Further information / source

Related topics

  1. For migration specialists – transfer and optimize data from third-party systems › Cutover, fallback plan and productive start
  2. For migration specialists – transfer and optimize data from third-party systems › File attachments

Frequently asked questions

**Which checksums make sense?**

Depending on the object, number, net total, tax, open balance, inventory quantity, earliest/latest date, unique keys and foreign key errors.

**How many samples are enough?**

Risk-based: critical, large, old, unusual and random cases - in addition to automatic full controls.