The Efficient Way To Manage Data Migration

Mapping out a plan is the most critical 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 must include search capabilities, security, mapping metadata, folder structure, and many other components that will allows users to find pertinent data. It is critical that you invest the time to identify the problems you’re having and what is needed to move forward.

Why Do Migrations Fail?

There are numerous causes for this, most of which revolve around poor planning. While the majority of businesses share the same requirement to find data easily, they frequently differ on how they get there. There are many locations for your use when in reference to data sorting, but without a solid plan in place, these resources can fail to work as expected. Be sure you’ve done your due diligence before migrating.

Wave has been executing enterprise migrations and providing advisement services since the 1990s. We’ve performed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the different challenges that can occur in both modern and legacy ECM platforms and we’ve refined our ways over the years as technology has changed. Utilize our competence 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 determine what you possess, how it’s cataloged, the amount and what types of content you possess, and any features you desire for example versions, directions, and processes.
Clean & Organize

Data migrations are similar to moving to a new home- identify what you want to bring along with you and what you can get rid of. Maybe you have data that is no longer relevant. While combing through your data, take a second to identify areas for improvement specifically as it pertains to your institutional methods and metadata.
Test The Migration Process

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

If you notice that your migration will take longer than planned during the standardizing process, be sure to implement regular check-ins during that time period and make sure no errors arise. If they do, you can fine-tune your schedule.
Validate Your End Result

To be sure that your end result in the destination system matches what you started with in the source system, have a verification procedure in place. If you’ve completed data regulation during the migration, your acceptance should be able to account for that.
Account For New Content

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

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