The Efficient Way To Manage Data Migration

Mapping out a plan is the most important portion of a migration. Every migration requires a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations need to include folder structure, metadata mapping, security, search capabilities, and many other aspects that will help users to find appropriate data. It’s imperative that you invest the time to identify the problems you’re having and what is needed to move ahead.

Why Do Migrations Fail?

There are many causes for this, most of which center around poor planning. While the majority of businesses share the same requirement to procure data readily, they frequently contrast on how they arrive there. There are many repositories for your use when referring to data sorting, 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 consultation services since the ’90s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team appreciates the particular hurdles that can arise in both current and legacy ECM applications and we’ve distilled our methods over the years as technology has changed. Leverage our expertise to execute a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to determine what you possess, how it’s classified, the quantity and what kinds of data you possess, and any elements you need such as versions, directions, and processes.
Clean & Organize

Data migrations are similar to moving to a new house- decide what you want to keep and what you don’t need. Perhaps you have data that is no longer relevant. While analyzing your data, take a moment to determine opportunities for progress specifically as it pertains to your organizational procedures and metadata.
Test The Migration Process

Next, you should evaluate your migration and pinpoint a standard to see how long the migration will be. Also, implement a data exchange evaluation to ensure your migration pipeline is hiccup-free.
Check In Regularly

If you find that your migration will take longer than planned during the standardizing process, be sure to create regular checkpoints during that time period and be sure no errors happen. If they do, you can adjust your project plan.
Validate Your End Result

To ensure that what you end up with in the destination program matches what you with in the source program, have a verification protocol in place. If you’ve performed data cleansing during the migration, your verification 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 added. You’ll want to make sure to show any new metadata and any new content that’s created.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence tools that can automate the data cataloging portion of your migration. Should you choose to use this feature, you can leverage existing metadata, and enhance it with the help of your AI tools.