The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial element of a migration. Every migration must have a certain amount of strategic digital transformation of the data 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 help users to find relevant data. It is crucial that you invest the time to understand the problems you are having and what is needed to move ahead.

Why Do Migrations Fail?

There are several explanations for this, most of which revolve around poor planning. While most companies share the same need to access data readily, they frequently contrast on how they arrive there. There are several locations for your use when in reference to data cataloging, but without a thought-out plan in place, these resources 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 ’90s. We’ve performed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team appreciates the different obstacles that can happen in both modern and conventional ECM tools and we’ve refined our methods over the years as technology has changed. Leverage our expertise to execute 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 determine what you have, how it’s classified, how much and what kinds of content you possess, and any facets you require like versions, annotations, and protocols.
Clean & Organize

Data migrations resemble moving to a new home- identify what you want to bring along with you and what you can get rid of. It’s possible that you have data that is not needed. While combing through your content, take a second to identify opportunities for betterment specifically as it pertains to your institutional methods and metadata.
Test The Migration Process

Next, you should test your migration and determine a benchmark to see how long the migration will be. Also, execute a data alternation analysis to be sure your migration pipeline is free of snags.
Check In Regularly

If you see that your migration will take longer than planned during the standardizing process, be sure to implement routine progress checks during that window and ensure no errors arise. If they do, you can change your schedule.
Validate Your End Result

To be sure that what you end up with in the destination platform matches what you started with in the source program, have a acceptance measure in place. If you’ve done 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 content is created. You’ll want to make sure to justify any new metadata and any new information that’s created.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence elements that can automate the information orchestration process of your migration. Should you decide to use this tool, you can use existing metadata, and improve it with the support of your AI tools.