The Efficient Way To Manage Data Migration

Mapping out a plan is the most important part of a migration. Every migration needs a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations should include folder structure, metadata mapping, security, search capabilities, and many other aspects that will allows users to find appropriate information. It is critical that you invest the time to learn about the problems you are having and what is required to resolve them.

Why Do Migrations Fail?

There are several causes for this, most of which revolve around not planning. While many organizations share the same desire to access data readily, they frequently vary on how they get there. There are many sources at your disposal when in reference to data cataloging, but without a strong plan in place, these programs can fail to perform. Be sure you’ve done your due diligence before migrating.

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

Our experienced team comprehends the unique hurdles that can arise in both current and traditional ECM applications and we’ve fine-tuned our methods over the years as technology has changed. Take advantage of our expertise to deploy a successful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to understand what you own, how it’s classified, the quantity and what groups of content you own, and any features you need like versions, explanations, and protocols.
Clean & Organize

Data migrations are much like moving to a new residence- determine what you want to take with you and what you don’t need. Perhaps you have data that is obsolete. While combing through your content, take a moment to identify places for progress specifically as it applies to your operational methods and metadata.
Test The Migration Process

Next, you should evaluate your migration and identify a benchmark to see how long the migration will be. Also, perform a data swap evaluation to be sure your migration pipeline is snag-free.
Check In Regularly

If you find that your migration will take longer than anticipated during the standardizing process, be sure to implement routine checkpoints during that time period and ensure no problems occur. If they do, you can fine-tune your schedule.
Validate Your End Result

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

Sometimes you aren’t able to make the complete system read-only during a migration, and new data is created. You’ll want to make sure to account for any new metadata and any new content that’s created.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence features that can automate the content organization part of your migration. Should you determine to use this element, you can leverage existing metadata, and improve it with the support of your AI tools.