This guideline outlines the key points to consider for a smooth and successful data migration. A well-structured flow ensures accuracy and efficiency throughout the process. By following a methodical approach, the migration process becomes more transparent and manageable.

The first crucial step is defining the scope, which involves selecting the data to be migrated. Once identified, the data is transferred to a test environment to detect and resolve any potential errors during validation. Only when the data is fully verified and accurate should it be transferred to the live environment.

Key principles

Best practices derived from numerous data migration projects have been distilled into specific guidelines, summarised in the overview below. By applying these principles and avoiding common pitfalls, data migration can be executed in a controlled and structured manner, ensuring a successful outcome.