The Efficient Way To Manage Data Migration

Outlining a plan is the most important portion 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 mapping metadata, folder structure, search capabilities, and many other elements that will enable users to find appropriate data. It is crucial that you invest the time to understand the problems you have and what is required to move forward.

Why Do Migrations Fail?

There are numerous explanations for this, most of which center around poor planning. While most companies share the same need to access data easily, they frequently differ on how they arrive there. There are many locations that you can leverage when referring to data organization, but without a strong plan in place, these resources can fail to work as expected. Be sure you’ve done your due diligence before migrating.

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

Our expert team comprehends the unique hurdles that can arise in both current and conventional ECM tools and we’ve fine-tuned our approach over the years as technology has evolved. Utilize our expertise to implement 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 assess what you own, how it’s cataloged, the quantity and what groups of information you have, and any features you require for example versions, explanations, and protocols.
Clean & Organize

Data migrations resemble moving to a new residence- identify what you want to bring along with you and what you don’t need. Maybe you have data that is obsolete. While analyzing your data, take a minute to determine opportunities for improvement particularly as it relates to your organizational procedures and metadata.
Test The Migration Process

Next, you should evaluate your migration and pinpoint a benchmark to see how long the migration will be. Also, implement a data alternation test to be sure your migration pipeline is hiccup-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 cycle and be sure no problems arise. If they do, you can change your timeline.
Validate Your End Result

To make sure that your final product in the destination program matches what you started with in the source platform, have a acceptance measure in place. If you’ve done data regulation during the migration, your validation should be able to show that.
Account For New Content

Sometimes it’s not possible to make the entire system read-only during a migration, and new content is included. You’ll want to make sure to show any new metadata and any new data that’s added.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence tools that can automate the data cataloging part of your migration. Should you choose to use this element, you can leverage existing metadata, and improve it with the help of your AI features.