The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial portion of a migration. Every migration must have 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 components that will help users to find appropriate information. It’s crucial that you take the time to learn about the problems you’re having and what is required to move ahead.

Why Do Migrations Fail?

There are many explanations for this, most of which center around not planning. While the majority of organizations share the same desire to find data readily, they frequently vary on how they land there. There are many locations at your disposal when referring to data sorting, but without a solid plan in place, these tools can fail to function properly. Be sure you’ve thought it through carefully before migrating.

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

Our expert team appreciates the different hurdles that can happen in both contemporary and conventional ECM applications and we’ve distilled our ways over the years as technology has expanded. Take advantage of our expertise 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 cataloged, the amount and what kinds of information you possess, and any facets you desire such as versions, explanations, and processes.
Clean & Organize

Data migrations are similar to moving to a new residence- determine what you want to take with you and what you can get rid of. It’s possible that you have data that is no longer relevant. While reviewing your information, take a moment to pinpoint places for improvement especially as it applies to your operational processes and metadata.
Test The Migration Process

Next, you should assess your migration and pinpoint a standard to see how drawn-out the migration will be. Also, implement a data swap test to be sure your migration pipeline is hiccup-free.
Check In Regularly

If you see that your migration will take longer than anticipated during the standardizing process, be sure to create regular checkpoints during that cycle and ensure 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 platform coincides with what you started with in the source program, have a verification measure in place. If you’ve performed data cleanup during the migration, your verification should be able to show that.
Account For New Content

Sometimes you aren’t able to make the whole system non-editable during a migration, and new content is created. You’ll want to ensure to show any new metadata and any new content that’s included.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence elements that can automate the data organization part of your migration. Should you choose to use this tool, you can utilize existing metadata, and augment it with the support of your AI tools.