The Efficient Way To Manage Data Migration

Mapping out a plan is the most critical element of a migration. Every migration requires a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations need to include folder structure, metadata mapping, security, search capabilities, and many other aspects that will allows users to find pertinent content. It is critical that you spend the time to document the problems you’re having and what is required to move forward.

Why Do Migrations Fail?

There are several explanations for this, most of which center around not planning. While many organizations share the same desire to procure data efficiently, they frequently contrast on how they arrive there. There are several repositories at your disposal when referring to data cataloging, but without a thought-out plan in place, these tools can fail to perform. Be sure you’ve done your due diligence before migrating.

Wave has been performing enterprise migrations and delivering advisement services since the mid ‘90s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team understands the different challenges that can occur in both contemporary and traditional ECM platforms and we’ve distilled our approach over the years as technology has evolved. Utilize our proficiency to implement a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to understand what you own, how it’s cataloged, the quantity and what groups of information you own, and any features you desire such as versions, annotations, and workflows.
Clean & Organize

Data migrations are much like moving to a new house- decide what you want to take with you and what you can get rid of. Perhaps you have data that is not needed. While combing through your content, take a second to pinpoint opportunities for betterment especially as it relates to your organizational procedures and metadata.
Test The Migration Process

Next, you should assess your migration and identify a standard to see how lengthy the migration will be. Also, execute a data exchange evaluation to ensure your migration pipeline is hiccup-free.
Check In Regularly

If you find that your migration will take longer than planned during the benchmarking process, be sure to implement routine checkpoints during that cycle and be sure no errors occur. If they do, you can change your timeline.
Validate Your End Result

To make sure that what you end up with in the destination program is equivalent to what you began with in the source platform, have a validation procedure 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 created. You’ll want to ensure to justify any new metadata and any new data that’s added.
Leverage AI Where Possible

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