The Efficient Way To Manage Data Migration

Outlining a plan 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 search capabilities, security, mapping metadata, folder structure, and many other components that will help users to find pertinent information. It is crucial that you invest the time to learn about the problems you are having and what is necessary to move ahead.

Why Do Migrations Fail?

There are several reasons for this, most of which occur around lack of planning. While most companies share the same need to procure data easily, they frequently contrast on how they get there. There are many sources that you can leverage when referring to data organization, but without a strong plan in place, these programs can fail to work as expected. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

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

Our expert team appreciates the different obstacles that can occur in both contemporary and legacy ECM applications and we’ve refined our approach over the years as technology has changed. Leverage our expertise to execute a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the appropriate amount of time to understand what you own, how it’s classified, the quantity and what kinds of data you possess, and any features you desire such as versions, annotations, and workflows.
Clean & Organize

Data migrations are much like moving to a new home- identify what you want to keep and what you no longer need. Maybe you have data that is not needed. While combing through your information, take a second to determine places for progress specifically as it relates to your operational procedures and metadata.
Test The Migration Process

Next, you should test your migration and determine a standard to see how drawn-out the migration will be. Also, perform a data exchange evaluation to be sure your migration pipeline is hiccup-free.
Check In Regularly

If you find that your migration will take longer than expected during the benchmarking process, be sure to implement routine check-ins during that cycle and make sure no errors occur. If they do, you can fine-tune your timeline.
Validate Your End Result

To make sure that your final product in the destination platform is equivalent to what you with in the source platform, have a acceptance protocol 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 whole system non-editable during a migration, and new content is created. You’ll want to ensure to justify any new metadata and any new content that’s included.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence tools that can automate the data organization process of your migration. Should you choose to use this feature, you can leverage existing metadata, and enhance it with the assistance of your AI capabilities.