The Efficient Way To Manage Data Migration

Mapping out a plan is the most critical piece of a migration. Every migration needs a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations need to include search capabilities, security, mapping metadata, folder structure, and many other aspects that will enable users to find pertinent information. It’s critical that you take the time to understand the problems you’re having and what is necessary to move forward.

Why Do Migrations Fail?

There are numerous causes for this, most of which occur around lack of planning. While the majority of organizations share the same desire to procure data easily, they frequently differ on how they land there. There are many sources that you can leverage when referring to data cataloging, but without a thought-out plan in place, these tools can fail to work as expected. Be sure you’ve thought it through carefully before migrating.

Wave has been executing enterprise migrations and delivering advisement services since the 1990s. We’ve performed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the unique challenges that can happen in both contemporary and legacy ECM tools and we’ve refined our approach over the years as technology has evolved. Utilize our expertise to deploy a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to determine what you have, how it’s cataloged, how much and what kinds of information you possess, and any elements you require like versions, directions, and protocols.
Clean & Organize

Data migrations are much like moving to a new residence- identify what you want to keep and what you don’t need. Perhaps you have data that is obsolete. While reviewing your data, take a moment to pinpoint opportunities for betterment particularly as it relates to your operational processes and metadata.
Test The Migration Process

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

If you notice that your migration will take longer than planned during the criteria evaluating process, be sure to implement routine checkpoints during that cycle and be sure no issues happen. If they do, you can adjust your schedule.
Validate Your End Result

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

Sometimes it’s not possible to make the whole system non-editable during a migration, and new data is added. You’ll want to ensure to justify any new metadata and any new information that’s included.
Leverage AI Where Possible

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