The Efficient Way To Manage Data Migration

Outlining a plan is the most crucial portion of a migration. Every migration must have a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations need to include mapping metadata, folder structure, search capabilities, and many other components that will help users to find pertinent content. It is imperative that you invest the time to document the problems you are having and what is required to move ahead.

Why Do Migrations Fail?

There are many causes for this, most of which center around poor planning. While most organizations share the same desire to find data efficiently, they frequently differ on how they land there. There are several repositories at your disposal when referring to data cataloging, but without a solid plan in place, these tools can fail to function properly. Be sure you’ve done your due diligence before migrating.

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

Our expert team appreciates the unique hurdles that can occur in both current and conventional ECM applications and we’ve refined our approach over the years as technology has expanded. Utilize our expertise to execute 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 understand what you possess, how it’s organized, how much and what groups of information you possess, and any elements you need like versions, explanations, and workflows.
Clean & Organize

Data migrations are much like moving to a new house- determine what you want to take with you and what you can get rid of. Perhaps you have data that is obsolete. While reviewing your data, take a second to identify opportunities for improvement specifically 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, implement a data alternation analysis to make sure your migration pipeline is free of snags.
Check In Regularly

If you see that your migration will take longer than anticipated during the benchmarking process, be sure to set up routine checkpoints during that window and ensure no issues arise. If they do, you can adjust your schedule.
Validate Your End Result

To be sure that what you end up with in the destination program matches what you with in the source system, have a acceptance procedure in place. If you’ve completed data cleanup during the migration, your verification should be able to justify that.
Account For New Content

Sometimes it’s not possible to make the whole system non-editable during a migration, and new content is included. You’ll want to be sure to account for any new metadata and any new content that’s included.
Leverage AI Where Possible

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