How can users ensure data integrity during migration to Relativity?

Ensuring data integrity during migration to Relativity is paramount for maintaining the accuracy and reliability of the information being transferred. Following best practices for data cleansing and validation significantly contributes to this objective. This involves several critical steps such as identifying and correcting inaccuracies, removing outdated or unnecessary data, and verifying that the data complies with the required formats and standards. By adhering to these best practices, users can minimize the risks associated with data loss, corruption, and inconsistency during the migration process.

Effective data cleansing also includes checking the data for consistency, completeness, and accuracy before it is loaded into the Relativity system. Validation ensures that the data behaves as expected when accessed or manipulated within the new platform. Overall, a thorough approach in these areas helps to uphold the trustworthiness of the data being migrated, which is vital for any subsequent analysis or discovery work within Relativity.