The Efficient Way To Manage Data Migration

Planning is the most important element of a migration. Every migration requires 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 components that will enable users to find pertinent information. It is critical that you take the time to identify the problems you’re having and what is required to move ahead.

Why Do Migrations Fail?

There are several causes for this, most of which revolve around lack of planning. While many organizations share the same desire to access data easily, they frequently differ on how they arrive there. There are many sources for your use when referring to data organization, but without a solid plan in place, these resources can fail to perform. Be sure you’ve done your due diligence before migrating.

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

Our highly capable team understands the unique obstacles that can arise in both current and conventional ECM applications and we’ve refined our methods over the years as technology has evolved. 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 understand what you possess, how it’s cataloged, how much and what groups of information you have, and any features you desire for example versions, annotations, and workflows.
Clean & Organize

Data migrations resemble moving to a new home- determine what you want to keep and what you no longer need. It’s possible that you have data that is no longer relevant. While combing through your content, take a second to determine opportunities for betterment particularly as it pertains to your institutional procedures 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, perform a data alternation test to make sure your migration pipeline is free of snags.
Check In Regularly

If you find that your migration will take longer than anticipated during the standardizing process, be sure to implement regular progress checks during that window and ensure no errors happen. If they do, you can fine-tune your timeline.
Validate Your End Result

To make sure that your final product in the destination program matches what you with in the source program, have a verification measure 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 aren’t able to make the whole system non-editable during a migration, and new data is included. You’ll want to make sure to show 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 cataloging part of your migration. Should you determine to use this element, you can leverage existing metadata, and augment it with the assistance of your AI tools.