What should be established to avoid the issue of slow case record population during data migration?

To address the issue of slow case record population during data migration, optimizing data-related lists is vital. When migrating data, especially in environments with substantial volumes of records, the efficiency of how related lists are managed can significantly impact performance.

Optimizing data-related lists involves ensuring that only necessary information is being loaded and making sure that the relationships between objects are efficiently set up to facilitate quick access. This can help minimize the load on the system, thereby improving the speed at which case records are populated. Efficiently designed related lists can also prevent excessive queries that may slow down the migration process.

While other options address different aspects of system performance or management, they do not directly target the optimization of data handling during migration. For instance, establishing custom user roles may help control access to information but does not enhance the process of data migration itself. Increasing data storage limits could be relevant if running out of space was the issue, but it doesn’t inherently improve performance during migration. Scheduling migrations during off-peak hours might reduce load on the system, yet without optimization, the fundamental data handling issues that lead to slow population would still persist. Therefore, focusing on optimizing data-related lists is the best approach to ensure a smooth and swift record population during migration.