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 information 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 data. It is imperative that you spend the time to learn about the problems you’re having and what is necessary to resolve them.

Why Do Migrations Fail?

There are several explanations for this, most of which center around lack of planning. While many businesses share the same requirement to find data efficiently, they frequently contrast on how they land there. There are many sources at your disposal when referring to data organization, but without a solid plan in place, these resources can fail to perform. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

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

Our highly capable team comprehends the unique hurdles that can happen in both modern and legacy ECM tools and we’ve distilled our methods over the years as technology has evolved. Leverage our expertise to implement a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to assess what you possess, how it’s classified, the quantity and what types of information you possess, and any facets you desire such as versions, explanations, and processes.
Clean & Organize

Data migrations are similar to moving to a new residence- decide what you want to take with you and what you don’t need. Maybe you have data that is not needed. While reviewing your information, take a second to determine places for betterment particularly as it relates to your organizational methods and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a criteria to see how drawn-out the migration will be. Also, implement a data alternation evaluation to ensure your migration pipeline is free of snags.
Check In Regularly

If you find that your migration will take longer than planned during the standardizing process, be sure to create routine checkpoints during that cycle and ensure no errors arise. If they do, you can fine-tune your schedule.
Validate Your End Result

To be sure that your final product in the destination system coincides with what you began with in the source platform, have a acceptance procedure in place. If you’ve completed data regulation during the migration, your acceptance should be able to show that.
Account For New Content

Sometimes you aren’t able to make the entire system non-editable during a migration, and new data is included. You’ll want to ensure to account for any new metadata and any new content that’s created.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence features that can automate the content orchestration process of your migration. Should you decide to use this feature, you can leverage existing metadata, and enhance it with the assistance of your AI features.