The Efficient Way To Manage Data Migration

Planning is the most important portion of a migration. Every migration must have a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations should include folder structure, metadata mapping, security, search capabilities, and many other components that will help users to find appropriate information. It is imperative that you invest the time to document the problems you are having and what is necessary to get resolution.

Why Do Migrations Fail?

There are several causes for this, most of which occur around poor planning. While the majority of companies share the same need to procure data readily, they frequently vary on how they get there. There are several repositories at your disposal when it comes to data cataloging, but without a solid plan in place, these tools can fail to function properly. Be sure you’ve done your due diligence before migrating.

Wave has been performing enterprise migrations and providing advisement services since the 1990s. We’ve executed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the different obstacles that can arise in both modern and conventional ECM applications and we’ve refined our ways over the years as technology has expanded. Leverage our proficiency to execute a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to understand what you own, how it’s organized, the amount and what types of information you have, and any elements you desire like versions, explanations, and workflows.
Clean & Organize

Data migrations resemble moving to a new residence- decide what you want to keep and what you can get rid of. Maybe you have data that is no longer relevant. While combing through your information, take a moment to identify places for improvement specifically as it applies to your institutional methods and metadata.
Test The Migration Process

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

If you see that your migration will take longer than planned during the benchmarking process, be sure to create routine progress checks during that window and make sure no issues occur. If they do, you can adjust your schedule.
Validate Your End Result

To be sure that what you end up with in the destination platform matches what you began with in the source platform, have a verification protocol in place. If you’ve completed data cleanup during the migration, your acceptance 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 included. You’ll want to make sure to justify any new metadata and any new content that’s added.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence elements that can automate the data organization portion of your migration. Should you determine to use this tool, you can utilize existing metadata, and improve it with the support of your AI capabilities.