The Efficient Way To Manage Data Migration

Planning is the most crucial part of a migration. Every migration requires a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations must include mapping metadata, folder structure, search capabilities, and many other components that will help users to find relevant content. It is imperative that you take the time to document the problems you have and what is required to move ahead.

Why Do Migrations Fail?

There are many explanations for this, most of which occur around poor planning. While the majority of companies share the same need to access data efficiently, they frequently differ on how they land there. There are several repositories for your use 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 delivering strategic planning services since the mid ‘90s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team understands the unique challenges that can occur in both contemporary and conventional ECM tools and we’ve distilled our methods over the years as technology has evolved. Utilize our competence to execute 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 own, how it’s classified, the amount and what types of data you possess, and any features you desire such as versions, explanations, and protocols.
Clean & Organize

Data migrations are much like moving to a new house- determine what you want to bring along with you and what you don’t need. Perhaps you have data that is obsolete. While combing through your information, take a minute to determine places for improvement especially as it relates to your organizational processes and metadata.
Test The Migration Process

Next, you should assess your migration and determine a criteria to see how lengthy the migration will be. Also, perform a data swap test to be sure your migration pipeline is free of snags.
Check In Regularly

If you notice that your migration will take longer than planned during the criteria evaluating process, be sure to implement routine check-ins during that window and make sure no issues arise. If they do, you can adjust your timeline.
Validate Your End Result

To make sure that your final product in the destination system matches what you with in the source platform, have a acceptance protocol in place. If you’ve done data cleanup during the migration, your verification should be able to show that.
Account For New Content

Sometimes it’s not possible to make the whole system read-only during a migration, and new content is added. You’ll want to make sure to account for any new metadata and any new data that’s added.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence features that can automate the data cataloging process of your migration. Should you decide to use this tool, you can utilize existing metadata, and enhance it with the help of your AI features.