The Efficient Way To Manage Data Migration

Mapping out 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 folder structure, metadata mapping, security, search capabilities, and many other components that will allows users to find relevant data. It’s critical that you invest the time to learn about the problems you’re having and what is needed to move forward.

Why Do Migrations Fail?

There are many explanations for this, most of which center around not planning. While most businesses share the same requirement to access data efficiently, they frequently contrast on how they land there. There are numerous locations for your use when in reference to data cataloging, but without a strong plan in place, these programs can fail to work as expected. Be sure you’ve thought it through carefully before migrating.

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

Our expert team understands the unique challenges that can arise in both contemporary and traditional ECM applications and we’ve refined our approach over the years as technology has expanded. Utilize our expertise to implement 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 have, how it’s organized, the amount and what kinds of information you possess, and any facets you need such as versions, explanations, and processes.
Clean & Organize

Data migrations are similar to moving to a new home- determine what you want to take with you and what you no longer need. Maybe you have data that is no longer relevant. While reviewing your information, take a second to determine areas for betterment particularly as it applies to your organizational processes and metadata.
Test The Migration Process

Next, you should evaluate your migration and determine a criteria to see how lengthy the migration will be. Also, perform a data alternation evaluation to ensure your migration pipeline is snag-free.
Check In Regularly

If you find that your migration will take longer than expected during the benchmarking process, be sure to implement routine checkpoints during that cycle and make sure no issues happen. If they do, you can adjust your project plan.
Validate Your End Result

To ensure that what you end up with in the destination system coincides with what you began with in the source platform, have a verification protocol 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 can’t make the whole system non-editable during a migration, and new content is added. You’ll want to be sure to account for any new metadata and any new data that’s included.
Leverage AI Where Possible

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