The Efficient Way To Manage Data Migration

Outlining a plan is the most crucial element of a migration. Every migration requires a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations should include mapping metadata, folder structure, search capabilities, and many other aspects that will allows users to find relevant information. It’s imperative that you spend the time to document the problems you’re having and what is necessary to resolve them.

Why Do Migrations Fail?

There are several explanations for this, most of which revolve around lack of planning. While many organizations share the same desire to find data readily, they frequently contrast on how they arrive there. There are numerous repositories at your disposal when referring to data organization, but without a thought-out plan in place, these tools can fail to work as expected. Be sure you’ve done your due diligence before migrating.

Wave has been expertly handling enterprise migrations and delivering advisement services since the ’90s. We’ve expertly handled migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team appreciates the unique hurdles that can arise in both modern and traditional ECM tools and we’ve distilled our approach over the years as technology has evolved. Utilize our proficiency to deploy 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 organized, the amount and what kinds of information you own, and any elements you desire like versions, directions, and protocols.
Clean & Organize

Data migrations are similar to moving to a new house- identify what you want to bring along with you and what you don’t need. It’s possible that you have data that is not needed. While analyzing your content, take a minute to pinpoint areas for improvement specifically as it pertains to your institutional procedures and metadata.
Test The Migration Process

Next, you should assess your migration and pinpoint a benchmark to see how drawn-out the migration will be. Also, execute a data alternation evaluation to ensure your migration pipeline is snag-free.
Check In Regularly

If you find that your migration will take longer than anticipated during the criteria evaluating process, be sure to implement regular check-ins during that window and make sure no issues occur. If they do, you can adjust your timeline.
Validate Your End Result

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

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

Many sources now offer Artificial Intelligence features that can automate the data orchestration portion of your migration. Should you determine to use this feature, you can utilize existing metadata, and augment it with the assistance of your AI tools.