The Efficient Way To Manage Data Migration

Planning is the most important element of a migration. Every migration requires a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations must include mapping metadata, folder structure, search capabilities, and many other elements that will enable users to find pertinent information. It’s crucial that you invest the time to learn about the problems you’re having and what is necessary to get resolution.

Why Do Migrations Fail?

There are numerous causes for this, most of which occur around not planning. While the majority of companies share the same need to find data readily, they frequently contrast on how they get there. There are several locations that you can leverage when referring to data cataloging, but without a solid plan in place, these tools can fail to work as expected. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

Wave has been executing enterprise migrations and providing strategic planning services since the mid ‘90s. We’ve performed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team understands the unique challenges that can occur in both modern and legacy ECM platforms and we’ve refined our approach over the years as technology has expanded. Leverage our expertise to deploy a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the appropriate amount of time to assess what you own, how it’s cataloged, how much and what groups of information you possess, and any elements you desire for example versions, directions, and workflows.
Clean & Organize

Data migrations resemble moving to a new house- determine what you want to bring along with you and what you can get rid of. Maybe you have data that is no longer relevant. While analyzing your data, take a minute to pinpoint opportunities for progress particularly as it pertains to your organizational procedures and metadata.
Test The Migration Process

Next, you should assess your migration and identify a criteria to see how lengthy the migration will be. Also, implement a data swap analysis to be sure your migration pipeline is free of snags.
Check In Regularly

If you see that your migration will take longer than anticipated during the criteria evaluating process, be sure to create routine progress checks during that time period and ensure no errors arise. If they do, you can fine-tune your project plan.
Validate Your End Result

To ensure that what you end up with in the destination program coincides with what you with in the source program, have a acceptance protocol in place. If you’ve performed data cleansing during the migration, your validation should be able to show that.
Account For New Content

Sometimes you can’t make the whole system read-only during a migration, and new content is added. You’ll want to ensure to show any new metadata and any new data that’s included.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence elements that can automate the data organization process of your migration. Should you choose to use this element, you can utilize existing metadata, and improve it with the assistance of your AI tools.