The Efficient Way To Manage Data Migration

Mapping out a plan is the most critical piece of a migration. Every migration requires 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 components that will enable users to find relevant content. It’s crucial that you take the time to learn about the problems you’re having and what is necessary to resolve them.

Why Do Migrations Fail?

There are numerous explanations for this, most of which revolve around poor planning. While the majority of companies share the same need to procure data efficiently, they frequently differ on how they arrive there. There are several sources for your use when in reference to data organization, 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 providing strategic planning services since the 1990s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team comprehends the particular obstacles that can occur in both contemporary and traditional ECM tools and we’ve distilled our methods over the years as technology has changed. Leverage our competence to implement a prosperous 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, how much and what kinds of content you have, and any features you require for example versions, annotations, and protocols.
Clean & Organize

Data migrations are much like moving to a new residence- decide what you want to bring along with you and what you no longer need. It’s possible that you have data that is not needed. While reviewing your information, take a minute to identify areas for betterment particularly as it pertains to your operational procedures and metadata.
Test The Migration Process

Next, you should test your migration and identify a criteria to see how long the migration will be. Also, perform a data exchange evaluation to ensure your migration pipeline is hiccup-free.
Check In Regularly

If you see that your migration will take longer than anticipated during the benchmarking process, be sure to implement regular check-ins during that cycle and be sure no problems happen. If they do, you can fine-tune your schedule.
Validate Your End Result

To be sure that your final product in the destination program is equivalent to what you with in the source platform, have a verification measure in place. If you’ve done data regulation during the migration, your acceptance should be able to justify that.
Account For New Content

Sometimes it’s not possible to make the entire system non-editable during a migration, and new data is added. You’ll want to make sure to account for any new metadata and any new content that’s created.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence tools that can automate the content organization process of your migration. Should you determine to use this feature, you can use existing metadata, and enhance it with the assistance of your AI features.