The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial part of a migration. Every migration needs a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations must include search capabilities, security, mapping metadata, folder structure, and many other aspects that will enable users to find relevant data. It is critical that you take the time to learn about the problems you have and what is needed to get resolution.

Why Do Migrations Fail?

There are many causes for this, most of which center around lack of planning. While most organizations share the same desire to access data efficiently, they frequently vary on how they arrive there. There are numerous locations that you can leverage when referring to data organization, but without a solid plan in place, these tools can fail to perform. Be sure you’ve thought it through carefully before migrating.

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

Our expert team understands the different obstacles that can arise in both current and conventional ECM applications and we’ve distilled our ways over the years as technology has evolved. Leverage our proficiency to deploy a successful 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, how much and what groups of content you possess, and any elements you need for example versions, annotations, and protocols.
Clean & Organize

Data migrations are similar to moving to a new residence- decide what you want to take with you and what you can get rid of. Maybe you have data that is no longer relevant. While analyzing your information, take a second to determine opportunities for improvement specifically as it relates to your organizational procedures and metadata.
Test The Migration Process

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

If you see that your migration will take longer than anticipated during the benchmarking process, be sure to implement routine checkpoints during that time period and make sure no errors occur. If they do, you can adjust your timeline.
Validate Your End Result

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

Sometimes you aren’t able to make the complete system non-editable during a migration, and new information is created. You’ll want to be sure to account for any new metadata and any new content that’s created.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence tools that can automate the content orchestration portion of your migration. Should you decide to use this tool, you can leverage existing metadata, and augment it with the assistance of your AI tools.