The Efficient Way To Manage Data Migration

Planning is the most critical portion of a migration. Every migration needs a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations should include search capabilities, security, mapping metadata, folder structure, and many other aspects that will enable users to find appropriate content. It is crucial that you invest the time to identify the problems you are having and what is necessary to get resolution.

Why Do Migrations Fail?

There are many explanations for this, most of which center around poor planning. While the majority of businesses share the same requirement to access data efficiently, they frequently differ on how they get there. There are numerous repositories at your disposal when it comes to data cataloging, but without a strong plan in place, these resources can fail to work as expected. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

Wave has been executing enterprise migrations and providing consultation services since the ’90s. We’ve performed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team appreciates the unique hurdles that can arise in both current and legacy ECM tools and we’ve distilled our approach over the years as technology has evolved. 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 the time to determine what you have, how it’s classified, how much and what types of content you have, and any facets you desire like versions, directions, and workflows.
Clean & Organize

Data migrations are similar to moving to a new residence- determine what you want to keep and what you no longer need. It’s possible that you have data that is no longer relevant. While analyzing your data, take a second to determine opportunities for betterment specifically as it applies to your operational methods and metadata.
Test The Migration Process

Next, you should evaluate your migration and identify a benchmark to see how drawn-out the migration will be. Also, perform a data exchange analysis to ensure your migration pipeline is free of snags.
Check In Regularly

If you notice that your migration will take longer than expected during the benchmarking process, be sure to implement regular progress checks during that window and make sure no issues arise. If they do, you can change your timeline.
Validate Your End Result

To make sure that your final product in the destination system matches what you started with in the source system, have a acceptance procedure in place. If you’ve performed data regulation during the migration, your verification should be able to account for that.
Account For New Content

Sometimes you aren’t able to make the complete 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 data that’s included.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence tools that can automate the content orchestration part of your migration. Should you decide to use this feature, you can leverage existing metadata, and augment it with the assistance of your AI capabilities.