The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial part of a migration. Every migration requires a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations must include mapping metadata, folder structure, search capabilities, and many other aspects that will enable users to find relevant content. It is critical that you spend the time to identify the problems you have and what is required to get resolution.

Why Do Migrations Fail?

There are numerous causes for this, most of which center around lack of planning. While most businesses share the same requirement to access data readily, they frequently vary on how they get there. There are many repositories for your use when referring to data sorting, but without a solid plan in place, these resources can fail to function properly. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

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

Our expert team comprehends the particular challenges that can occur in both contemporary and traditional ECM applications and we’ve refined our approach over the years as technology has expanded. Leverage 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 have, how it’s organized, how much and what groups of information you own, and any facets you require like versions, explanations, and protocols.
Clean & Organize

Data migrations are similar to moving to a new house- decide what you want to take with you and what you can get rid of. Perhaps you have data that is no longer relevant. While reviewing your data, take a second to determine places for betterment especially as it applies to your organizational procedures and metadata.
Test The Migration Process

Next, you should evaluate your migration and pinpoint a benchmark to see how drawn-out the migration will be. Also, perform a data exchange evaluation to be sure your migration pipeline is snag-free.
Check In Regularly

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

To be sure that your final product in the destination program matches what you started with in the source platform, have a verification protocol in place. If you’ve done data cleansing during the migration, your verification should be able to account for that.
Account For New Content

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

Many programs now offer Artificial Intelligence features that can automate the content cataloging process of your migration. Should you choose to use this element, you can utilize existing metadata, and augment it with the assistance of your AI features.