The Efficient Way To Manage Data Migration

Planning is the most critical part 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 must include mapping metadata, folder structure, search capabilities, and many other components that will help users to find relevant data. It is crucial that you spend the time to understand the problems you’re having and what is needed to resolve them.

Why Do Migrations Fail?

There are many explanations for this, most of which center around poor planning. While many businesses share the same requirement to find data easily, they frequently contrast on how they arrive there. There are many repositories for your use when referring to data cataloging, but without a solid plan in place, these tools can fail to work as expected. Be sure you’ve done your due diligence before migrating.

Wave has been expertly handling enterprise migrations and providing advisement services since the ’90s. We’ve expertly handled migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team appreciates the unique challenges that can occur in both modern and traditional ECM applications and we’ve refined our methods over the years as technology has changed. Take advantage of our proficiency 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 assess what you own, how it’s classified, how much and what types of information you own, and any elements you need for example versions, annotations, and workflows.
Clean & Organize

Data migrations are similar to moving to a new residence- decide what you want to bring along with you and what you can get rid of. Perhaps you have data that is not needed. While analyzing your data, take a moment to pinpoint opportunities for progress particularly as it applies to your organizational procedures and metadata.
Test The Migration Process

Next, you should test your migration and identify a standard to see how long the migration will be. Also, implement a data alternation analysis to be sure your migration pipeline is snag-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 check-ins during that window and be sure no errors occur. If they do, you can change your timeline.
Validate Your End Result

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

Sometimes you can’t make the entire system non-editable during a migration, and new information is added. You’ll want to ensure to show any new metadata and any new information that’s added.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence features that can automate the content organization process of your migration. Should you decide to use this feature, you can leverage existing metadata, and augment it with the support of your AI capabilities.