The Efficient Way To Manage Data Migration

Planning is the most important part 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 search capabilities, security, mapping metadata, folder structure, and many other aspects that will enable users to find pertinent content. It is critical that you take the time to understand the problems you are having and what is needed to resolve them.

Why Do Migrations Fail?

There are several causes for this, most of which occur around poor planning. While the majority of organizations share the same desire to access data efficiently, they frequently differ on how they get there. There are numerous repositories that you can leverage when referring to data organization, but without a strong 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 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 happen in both modern and legacy ECM tools and we’ve fine-tuned our ways over the years as technology has changed. 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 the time to assess what you possess, how it’s cataloged, the amount and what types of content you possess, and any elements you desire for example versions, explanations, and protocols.
Clean & Organize

Data migrations are much like moving to a new home- determine what you want to take with you and what you no longer need. It’s possible that you have data that is no longer relevant. While analyzing your content, take a minute to determine opportunities for improvement particularly as it applies to your operational processes and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a standard to see how lengthy the migration will be. Also, implement a data swap test to ensure your migration pipeline is free of snags.
Check In Regularly

If you see that your migration will take longer than expected during the standardizing process, be sure to set up regular check-ins during that window and be sure no issues happen. If they do, you can change your timeline.
Validate Your End Result

To make sure that your final product in the destination platform coincides with what you started with in the source platform, have a validation protocol in place. If you’ve performed data regulation during the migration, your validation should be able to show that.
Account For New Content

Sometimes you aren’t able to make the complete system read-only during a migration, and new content is included. You’ll want to be sure to justify any new metadata and any new content that’s created.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence features that can automate the information organization process of your migration. Should you decide to use this tool, you can leverage existing metadata, and enhance it with the support of your AI features.