The Efficient Way To Manage Data Migration

Outlining a plan is the most important part of a migration. Every migration requires 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 elements that will enable users to find pertinent content. It is imperative that you spend the time to document the problems you are having and what is necessary to get resolution.

Why Do Migrations Fail?

There are numerous reasons for this, most of which center around poor planning. While the majority of businesses share the same requirement to procure data efficiently, they frequently vary on how they land there. There are many repositories for your use when it comes to data cataloging, but without a strong plan in place, these resources can fail to function properly. Be sure you’ve done your due diligence before migrating.

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

Our highly capable team comprehends the unique obstacles that can happen in both current and legacy ECM applications and we’ve fine-tuned our methods over the years as technology has expanded. Take advantage of our expertise to execute a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to understand what you possess, how it’s cataloged, how much and what kinds of information you own, and any features you desire like versions, directions, and workflows.
Clean & Organize

Data migrations are similar to moving to a new house- decide what you want to keep and what you don’t need. Perhaps you have data that is not needed. While analyzing your information, take a moment to determine opportunities for betterment especially as it pertains to your institutional methods and metadata.
Test The Migration Process

Next, you should test your migration and determine a criteria to see how lengthy the migration will be. Also, execute a data swap analysis to be sure your migration pipeline is hiccup-free.
Check In Regularly

If you notice that your migration will take longer than anticipated during the standardizing process, be sure to create regular progress checks during that cycle and ensure no errors happen. If they do, you can adjust your timeline.
Validate Your End Result

To make sure that what you end up with in the destination system is equivalent to what you with in the source system, have a validation protocol in place. If you’ve completed data regulation during the migration, your verification should be able to justify that.
Account For New Content

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

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