The Efficient Way To Manage Data Migration

Mapping out a plan is the most important piece of a migration. Every migration needs a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations should include search capabilities, security, mapping metadata, folder structure, and many other components that will enable users to find relevant data. It’s critical that you invest the time to identify the problems you are having and what is required to get resolution.

Why Do Migrations Fail?

There are several reasons for this, most of which center around lack of planning. While the majority of companies share the same need to access data easily, they frequently differ on how they get there. There are numerous repositories at your disposal when referring to data organization, but without a strong plan in place, these tools can fail to function properly. Be sure you’ve thought it through carefully before migrating.

Wave has been expertly handling enterprise migrations and providing consultation services since the 1990s. We’ve expertly handled migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team comprehends the particular obstacles that can arise in both contemporary and conventional ECM tools and we’ve distilled our methods over the years as technology has expanded. Take advantage of our proficiency to execute a successful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the appropriate amount of time to determine what you possess, how it’s cataloged, the quantity and what kinds of content you own, and any facets you desire like versions, annotations, and processes.
Clean & Organize

Data migrations are similar to moving to a new house- determine what you want to keep and what you can get rid of. Perhaps you have data that is no longer relevant. While reviewing your information, take a moment to identify opportunities for progress specifically as it pertains to your institutional processes and metadata.
Test The Migration Process

Next, you should test your migration and determine a benchmark to see how drawn-out the migration will be. Also, perform a data swap analysis to ensure your migration pipeline is snag-free.
Check In Regularly

If you notice that your migration will take longer than anticipated during the standardizing process, be sure to create routine progress checks during that window and make sure no errors arise. If they do, you can change your timeline.
Validate Your End Result

To make sure that what you end up with in the destination platform coincides with what you started with in the source program, have a verification protocol in place. If you’ve done data cleanup during the migration, your validation should be able to account for that.
Account For New Content

Sometimes it’s not possible to make the whole system read-only during a migration, and new information is included. You’ll want to be sure to show any new metadata and any new information that’s included.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence features that can automate the information organization part of your migration. Should you determine to use this tool, you can utilize existing metadata, and augment it with the assistance of your AI features.