The Efficient Way To Manage Data Migration

Mapping out a plan is the most important part of a migration. Every migration must have a certain amount of strategic digital transformation of the content 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 relevant content. It is critical that you invest the time to understand the problems you’re having and what is required to move ahead.

Why Do Migrations Fail?

There are numerous causes for this, most of which revolve around not planning. While many companies share the same need to procure data readily, they frequently vary on how they land there. There are numerous locations for your use when referring to data organization, but without a strong plan in place, these programs can fail to perform. Be sure you’ve done your due diligence before migrating.

Wave has been performing enterprise migrations and delivering consultation services since the ’90s. We’ve executed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team appreciates the particular challenges that can arise in both modern and legacy ECM applications and we’ve distilled our ways over the years as technology has evolved. Leverage our proficiency to deploy 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 understand what you own, how it’s cataloged, the amount and what types of data you own, and any features you desire for example versions, directions, and workflows.
Clean & Organize

Data migrations are much like moving to a new home- identify what you want to bring along with you and what you don’t need. It’s possible that you have data that is no longer relevant. While reviewing your information, take a second to identify areas for progress especially as it applies to your institutional methods and metadata.
Test The Migration Process

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

If you notice that your migration will take longer than expected during the benchmarking process, be sure to implement routine progress checks during that cycle and make sure no issues happen. If they do, you can change your timeline.
Validate Your End Result

To make sure that your final product in the destination system coincides with what you started with in the source program, have a verification measure in place. If you’ve done data cleanup during the migration, your validation should be able to justify that.
Account For New Content

Sometimes you can’t make the entire system non-editable during a migration, and new content is added. You’ll want to ensure to account for any new metadata and any new content that’s added.
Leverage AI Where Possible

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