How do you manage the data migration scope and schedule to avoid delays and errors?

Powered by AI and the LinkedIn community

Data migration is a critical process in any system implementation project, as it involves transferring data from the old system to the new one. However, data migration can also pose many risks and challenges, such as data quality issues, compatibility problems, security breaches, and unexpected delays. To avoid these pitfalls and ensure a successful data migration, you need to manage the scope and schedule of the migration carefully and proactively. Here are some tips on how to do that.

  翻译: