The Efficient Way To Manage Data Migration

Outlining a plan is the most important part of a migration. Every migration needs a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations should include mapping metadata, folder structure, search capabilities, and many other elements that will allows users to find relevant content. It is crucial that you invest the time to learn about the problems you have and what is required to move forward.

Why Do Migrations Fail?

There are numerous causes for this, most of which revolve around poor planning. While most businesses share the same requirement to access data readily, they frequently vary on how they arrive there. There are numerous sources for your use when in reference to data sorting, but without a strong plan in place, these programs can fail to work as expected. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

Wave has been expertly handling enterprise migrations and giving consultation services since the 1990s. We’ve expertly handled migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team comprehends the different obstacles that can arise in both current and traditional ECM platforms and we’ve distilled our approach over the years as technology has expanded. Utilize our proficiency to implement a successful 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 cataloged, the amount and what kinds of content you have, and any elements you need such as versions, directions, and protocols.
Clean & Organize

Data migrations are similar to moving to a new residence- determine what you want to bring along with you and what you no longer need. It’s possible that you have data that is not needed. While reviewing your data, take a minute to pinpoint opportunities for improvement particularly as it relates 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 exchange analysis to make sure your migration pipeline is free of snags.
Check In Regularly

If you find that your migration will take longer than planned during the benchmarking process, be sure to create regular checkpoints during that time period and ensure no issues happen. If they do, you can change your schedule.
Validate Your End Result

To be sure that your end result in the destination system coincides with what you started with in the source system, have a validation procedure in place. If you’ve performed data cleanup during the migration, your acceptance should be able to show that.
Account For New Content

Sometimes you can’t make the complete system read-only during a migration, and new data is included. You’ll want to be sure to justify any new metadata and any new data that’s created.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence features that can automate the information orchestration process of your migration. Should you decide to use this element, you can use existing metadata, and augment it with the support of your AI features.