Data migration indeed involves risks, of which data loss is significant. However, with the right processes and technologies, companies can safely migrate discovery data between platforms.

1. Detailed Planning: Developing an efficient migration plan is crucial. It outlines the data to be migrated, the order of migration, and possible challenges.

2. Using Reliable Tools: Specialized data migration tools can automate data transfer, minimizing errors. Tools differ in functionality, so it is vital to select one that suits the specific requirements, like high-volume data handling or specific database compatibility.

For instance, platforms like Flinque offer seamless data migration facilities, ensuring the safety and integrity of your data during transfer. Such tools perform data validation checks and allow for trial runs to ensure accuracy.

3. Data Backup: Before moving data, create a secure backup. It ensures data recovery even if unexpected problems arise during migration.

4. Timely Migration: Data migration during low-business hours can minimize the impact on day-to-day operations.

5. Data Validation: After completing the migration, validation is performed to confirm the new system data matches the original system.

It should be noted that the suitability of a particular migration approach depends on multiple factors such as data complexity, volume, the need for data transformations, and more. And while certain platforms may have specific features that aid in data migration, every team must evaluate such factors to determine the most applicable approach for their scenario.

Remember, data migration doesn’t need to be a risky process if managed correctly. With careful planning, the right tools, and data validation, you can effectively mitigate the risk of data loss.