The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial portion of a migration. Every migration needs a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations should include search capabilities, security, mapping metadata, folder structure, and many other elements that will enable users to find appropriate information. It is crucial that you invest the time to identify the problems you’re having and what is necessary to move ahead.

Why Do Migrations Fail?

There are numerous causes for this, most of which center around lack of planning. While the majority of businesses share the same requirement to find data easily, they frequently differ on how they land there. There are several locations at your disposal when it comes to data cataloging, but without a strong plan in place, these resources can fail to function properly. Be sure you’ve done your due diligence before migrating.

Wave has been executing enterprise migrations and delivering advisement services since the 1990s. We’ve performed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the unique hurdles that can happen in both modern and legacy ECM platforms and we’ve fine-tuned our methods over the years as technology has changed. Take advantage of our proficiency to implement 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 have, how it’s cataloged, how much and what types of information you possess, and any features you require for example versions, directions, and processes.
Clean & Organize

Data migrations are much like moving to a new home- determine what you want to take with you and what you can get rid of. It’s possible that you have data that is no longer relevant. While analyzing your information, take a second to identify areas for improvement specifically as it applies to your institutional processes and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a criteria to see how long the migration will be. Also, perform a data alternation analysis to be sure your migration pipeline is free of snags.
Check In Regularly

If you notice that your migration will take longer than planned during the standardizing process, be sure to set up routine check-ins during that cycle and be sure no errors happen. If they do, you can adjust your schedule.
Validate Your End Result

To be sure that your final product in the destination system matches what you began with in the source program, have a validation protocol in place. If you’ve done data regulation during the migration, your validation should be able to account for that.
Account For New Content

Sometimes you can’t make the whole system read-only during a migration, and new data is created. You’ll want to be sure to justify any new metadata and any new information that’s added.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence elements that can automate the information organization part of your migration. Should you decide to use this element, you can use existing metadata, and enhance it with the support of your AI features.