The Efficient Way To Manage Data Migration

Outlining a plan is the most critical portion 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 must include mapping metadata, folder structure, search capabilities, and many other components that will enable users to find relevant content. It’s imperative that you invest the time to understand the problems you have and what is necessary to move ahead.

Why Do Migrations Fail?

There are many reasons 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 arrive there. There are numerous sources for your use when referring to data organization, but without a thought-out plan in place, these resources can fail to function properly. Be sure you’ve done your due diligence before migrating.

Wave has been performing enterprise migrations and delivering strategic planning services since the 1990s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team comprehends the different hurdles that can occur in both current and conventional ECM platforms and we’ve distilled our approach over the years as technology has changed. Utilize our proficiency 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 possess, how it’s organized, how much and what kinds of information you have, and any features you need for example versions, explanations, and workflows.
Clean & Organize

Data migrations are similar to moving to a new house- decide what you want to take with you and what you can get rid of. Maybe you have data that is not needed. While reviewing your information, take a moment to determine places for betterment especially as it pertains to your operational procedures and metadata.
Test The Migration Process

Next, you should test your migration and determine a benchmark to see how drawn-out the migration will be. Also, perform 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 benchmarking process, be sure to create regular progress checks during that cycle and ensure no problems happen. If they do, you can change your project plan.
Validate Your End Result

To ensure that your final product in the destination platform coincides with what you started with in the source program, have a validation measure in place. If you’ve done data cleansing during the migration, your validation should be able to account for that.
Account For New Content

Sometimes it’s not possible to make the whole system non-editable during a migration, and new information is included. You’ll want to be sure to show any new metadata and any new information that’s created.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence elements that can automate the content cataloging part of your migration. Should you choose to use this element, you can leverage existing metadata, and improve it with the help of your AI features.