The Efficient Way To Manage Data Migration

Planning is the most important portion of a migration. Every migration must have a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations should include mapping metadata, folder structure, search capabilities, and many other elements that will enable users to find pertinent content. It is critical that you spend the time to document the problems you have and what is needed to resolve them.

Why Do Migrations Fail?

There are many causes for this, most of which center around not planning. While most businesses share the same requirement to procure data readily, they frequently differ on how they land there. There are numerous locations at your disposal when it comes to data sorting, but without a solid plan in place, these programs can fail to work as expected. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

Wave has been performing enterprise migrations and giving strategic planning services since the mid ‘90s. We’ve executed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team understands the different obstacles that can occur in both current and traditional ECM applications and we’ve distilled our ways over the years as technology has changed. Leverage our expertise to implement a successful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to assess what you have, how it’s cataloged, the quantity and what kinds of content you have, and any features you desire such as versions, directions, and protocols.
Clean & Organize

Data migrations are similar to moving to a new residence- determine what you want to bring along with you and what you no longer need. Perhaps you have data that is obsolete. While combing through your content, take a moment to pinpoint places for progress particularly as it applies to your operational methods and metadata.
Test The Migration Process

Next, you should assess your migration and determine a criteria to see how drawn-out the migration will be. Also, implement a data alternation analysis to ensure your migration pipeline is snag-free.
Check In Regularly

If you notice that your migration will take longer than expected during the benchmarking process, be sure to set up routine progress checks during that cycle and ensure no issues arise. If they do, you can adjust your schedule.
Validate Your End Result

To be sure that what you end up with in the destination system coincides with what you started with in the source system, have a acceptance measure in place. If you’ve performed data regulation during the migration, your validation should be able to justify that.
Account For New Content

Sometimes you can’t make the complete system read-only during a migration, and new content is created. You’ll want to make sure to account for any new metadata and any new data that’s created.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence elements that can automate the information cataloging part of your migration. Should you choose to use this element, you can use existing metadata, and augment it with the help of your AI tools.