The Efficient Way To Manage Data Migration

Planning is the most crucial part 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 need to include mapping metadata, folder structure, search capabilities, and many other elements that will help users to find pertinent information. It’s crucial that you take the time to identify the problems you’re having and what is necessary to move forward.

Why Do Migrations Fail?

There are many causes for this, most of which occur around lack of planning. While many organizations share the same desire to find data easily, they frequently vary on how they land there. There are many sources for your use when referring to data cataloging, but without a thought-out plan in place, these resources 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 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 different hurdles that can occur in both contemporary and legacy ECM applications and we’ve fine-tuned our methods over the years as technology has changed. Take advantage of our competence to execute a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to determine what you have, how it’s organized, the quantity and what kinds of content you have, and any features you need such as versions, annotations, and processes.
Clean & Organize

Data migrations are much like moving to a new house- decide what you want to bring along with you and what you don’t need. It’s possible that you have data that is no longer relevant. While analyzing your content, take a moment to pinpoint areas for progress especially as it relates to your institutional processes and metadata.
Test The Migration Process

Next, you should assess your migration and pinpoint a criteria to see how long the migration will be. Also, perform a data alternation test to ensure your migration pipeline is snag-free.
Check In Regularly

If you notice that your migration will take longer than planned during the criteria evaluating process, be sure to implement regular check-ins during that time period and make sure no issues happen. If they do, you can adjust your schedule.
Validate Your End Result

To be sure that what you end up with in the destination platform is equivalent to what you began with in the source system, have a verification protocol in place. If you’ve done data cleansing during the migration, your verification should be able to justify that.
Account For New Content

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

Many repositories now offer Artificial Intelligence elements that can automate the content cataloging part of your migration. Should you decide to use this tool, you can utilize existing metadata, and augment it with the support of your AI tools.