The Efficient Way To Manage Data Migration

Outlining a plan is the most crucial portion 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 search capabilities, security, mapping metadata, folder structure, and many other components that will help users to find pertinent content. It’s imperative that you invest the time to document the problems you’re having and what is required to move ahead.

Why Do Migrations Fail?

There are several causes for this, most of which revolve around lack of planning. While most companies share the same need to find data readily, they frequently vary on how they arrive there. There are numerous repositories for your use when it comes to data organization, but without a solid plan in place, these resources can fail to perform. Be sure you’ve done your due diligence before migrating.

Wave has been expertly handling enterprise migrations and giving strategic planning services since the 1990s. We’ve expertly handled migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team comprehends the particular obstacles that can happen in both contemporary and conventional ECM tools and we’ve refined our methods over the years as technology has evolved. Take advantage of our expertise to execute 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 assess what you possess, how it’s classified, the quantity and what types of information you have, and any facets you need such as versions, directions, and workflows.
Clean & Organize

Data migrations are similar to moving to a new residence- determine what you want to take with you and what you no longer need. Perhaps you have data that is not needed. While reviewing your data, take a second to pinpoint opportunities for improvement especially as it applies to your institutional methods and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a benchmark to see how drawn-out the migration will be. Also, execute a data exchange evaluation to make sure your migration pipeline is hiccup-free.
Check In Regularly

If you notice that your migration will take longer than expected during the standardizing process, be sure to implement routine check-ins during that cycle and be sure no errors arise. If they do, you can change your project plan.
Validate Your End Result

To ensure that what you end up with in the destination platform matches what you began with in the source system, have a acceptance protocol in place. If you’ve performed data regulation during the migration, your validation should be able to account for that.
Account For New Content

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

Many programs now offer Artificial Intelligence tools that can automate the information cataloging process of your migration. Should you choose to use this tool, you can leverage existing metadata, and improve it with the assistance of your AI capabilities.