The Efficient Way To Manage Data Migration

Outlining a plan is the most critical 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 allows users to find pertinent information. It’s crucial that you invest the time to identify the problems you have and what is necessary to get resolution.

Why Do Migrations Fail?

There are numerous reasons for this, most of which occur around not planning. While many businesses share the same requirement to procure data easily, they frequently vary on how they land there. There are several sources at your disposal when it comes to data cataloging, but without a solid plan in place, these programs can fail to work as expected. Be sure you’ve done your due diligence before migrating.

Wave has been expertly handling enterprise migrations and giving strategic planning services since the mid ‘90s. We’ve expertly handled migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team understands the particular obstacles that can arise in both modern and traditional ECM applications and we’ve fine-tuned our approach over the years as technology has evolved. Utilize 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 assess what you have, how it’s cataloged, the quantity and what groups of information you own, and any features you need for example versions, annotations, and protocols.
Clean & Organize

Data migrations are similar to moving to a new residence- decide what you want to take with you and what you can get rid of. It’s possible that you have data that is not needed. While analyzing your information, take a moment to determine places for improvement particularly as it applies to your operational methods 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, perform a data alternation analysis to make sure your migration pipeline is hiccup-free.
Check In Regularly

If you notice that your migration will take longer than expected during the criteria evaluating process, be sure to create regular progress checks during that cycle and ensure no errors arise. If they do, you can change your timeline.
Validate Your End Result

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

Sometimes you aren’t able to make the whole 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 added.
Leverage AI Where Possible

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