The Efficient Way To Manage Data Migration

Planning is the most crucial element of a migration. Every migration must have a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations need to include search capabilities, security, mapping metadata, folder structure, and many other aspects that will allows users to find relevant data. It’s imperative that you take the time to identify the problems you’re having and what is needed to get resolution.

Why Do Migrations Fail?

There are numerous reasons for this, most of which revolve around poor planning. While many companies share the same need to procure data easily, they frequently contrast on how they get there. There are numerous sources that you can leverage when referring to data cataloging, but without a solid plan in place, these resources can fail to perform. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

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

Our experienced team appreciates the particular hurdles that can occur in both current and legacy ECM platforms and we’ve refined our approach over the years as technology has expanded. Take advantage of our expertise to implement a fruitful 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 possess, how it’s organized, the quantity and what kinds of information you possess, and any facets you require for example versions, directions, and processes.
Clean & Organize

Data migrations are similar to moving to a new house- determine what you want to keep and what you can get rid of. It’s possible that you have data that is obsolete. While reviewing your information, take a moment to identify opportunities for improvement especially as it pertains to your institutional methods and metadata.
Test The Migration Process

Next, you should assess your migration and identify a criteria to see how drawn-out 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 benchmarking process, be sure to implement routine progress checks during that window and ensure no issues occur. If they do, you can change your schedule.
Validate Your End Result

To be sure that your end result in the destination system is equivalent to what you started with in the source platform, have a acceptance protocol in place. If you’ve done data cleanup during the migration, your validation should be able to account for that.
Account For New Content

Sometimes you can’t make the whole system non-editable during a migration, and new content is added. You’ll want to be 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 information cataloging portion of your migration. Should you determine to use this feature, you can use existing metadata, and enhance it with the assistance of your AI features.