The Efficient Way To Manage Data Migration

Mapping out a plan is the most important element 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 folder structure, metadata mapping, security, search capabilities, and many other elements that will help users to find relevant content. It is critical that you invest the time to document the problems you are having and what is needed to resolve them.

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 efficiently, they frequently differ on how they land there. There are several repositories for your use when in reference to data cataloging, but without a thought-out 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 executing enterprise migrations and providing advisement services since the mid ‘90s. We’ve performed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team understands the particular obstacles that can occur in both contemporary and conventional ECM tools and we’ve refined our ways over the years as technology has changed. Utilize our expertise to execute a successful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to assess what you possess, how it’s cataloged, how much and what groups of content you have, and any elements you need such as versions, explanations, and workflows.
Clean & Organize

Data migrations resemble moving to a new home- decide what you want to keep and what you don’t need. Perhaps you have data that is not needed. While reviewing your data, take a minute to pinpoint opportunities for progress especially as it applies to your organizational procedures and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a criteria to see how lengthy the migration will be. Also, implement a data exchange analysis to ensure your migration pipeline is hiccup-free.
Check In Regularly

If you see that your migration will take longer than anticipated during the criteria evaluating process, be sure to implement routine progress checks during that time period and ensure no errors occur. If they do, you can change your timeline.
Validate Your End Result

To make sure that your final product in the destination platform matches what you began with in the source platform, have a verification procedure in place. If you’ve performed data cleanup during the migration, your validation should be able to justify that.
Account For New Content

Sometimes you can’t make the entire system non-editable during a migration, and new information is added. You’ll want to ensure to show any new metadata and any new information that’s included.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence features that can automate the data orchestration process of your migration. Should you decide to use this element, you can utilize existing metadata, and enhance it with the support of your AI features.