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 information moving from the source repository to the destination. Considerations should include mapping metadata, folder structure, search capabilities, and many other aspects that will help users to find appropriate data. It is critical that you invest the time to learn about the problems you’re having and what is needed to resolve them.

Why Do Migrations Fail?

There are numerous explanations for this, most of which revolve around poor planning. While many businesses share the same requirement to procure data easily, they frequently vary on how they get there. There are several locations that you can leverage when it comes to data cataloging, but without a thought-out 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 expertly handling enterprise migrations and giving advisement services since the 1990s. We’ve expertly handled migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the particular challenges that can occur in both current and legacy ECM tools and we’ve refined our methods over the years as technology has evolved. Take advantage of our expertise to implement 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 have, how it’s classified, the amount and what kinds of data you own, and any features you require for example versions, directions, and workflows.
Clean & Organize

Data migrations resemble moving to a new residence- determine what you want to keep and what you can get rid of. Perhaps you have data that is no longer relevant. While combing through your data, take a minute to determine opportunities for improvement particularly as it relates to your operational methods and metadata.
Test The Migration Process

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

If you notice that your migration will take longer than planned during the standardizing process, be sure to create routine progress checks during that window and ensure no errors arise. If they do, you can fine-tune your project plan.
Validate Your End Result

To ensure that your end result in the destination program matches what you with in the source program, have a verification procedure in place. If you’ve done data cleanup during the migration, your acceptance 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 content is created. You’ll want to make sure to show any new metadata and any new information that’s included.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence features that can automate the content orchestration portion of your migration. Should you decide to use this element, you can leverage existing metadata, and improve it with the assistance of your AI capabilities.