The Efficient Way To Manage Data Migration

Mapping out a plan is the most important element of a migration. Every migration requires 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 elements that will enable users to find relevant data. It’s critical that you spend the time to document the problems you’re having and what is needed to move forward.

Why Do Migrations Fail?

There are many causes for this, most of which revolve around not planning. While most organizations share the same desire to find data readily, they frequently contrast on how they get there. There are numerous sources that you can leverage when it comes to data cataloging, but without a strong plan in place, these tools 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 giving advisement services since the 1990s. We’ve expertly handled migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the unique hurdles that can happen in both contemporary and conventional ECM applications and we’ve refined our ways over the years as technology has changed. Leverage our expertise to execute a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to assess what you have, how it’s cataloged, how much and what groups of information you have, and any elements you need such as versions, explanations, and processes.
Clean & Organize

Data migrations are much like moving to a new home- decide what you want to bring along with you and what you don’t need. Perhaps you have data that is no longer relevant. While analyzing your content, take a minute to identify opportunities for progress particularly as it relates to your operational procedures and metadata.
Test The Migration Process

Next, you should evaluate your migration and determine a standard to see how lengthy the migration will be. Also, execute a data exchange analysis to ensure your migration pipeline is free of snags.
Check In Regularly

If you see that your migration will take longer than planned during the benchmarking process, be sure to set up regular check-ins during that time period and be sure no errors happen. If they do, you can change your schedule.
Validate Your End Result

To be sure that your end result in the destination program matches what you with in the source program, have a verification procedure in place. If you’ve performed data regulation during the migration, your acceptance should be able to account for that.
Account For New Content

Sometimes you can’t make the entire system read-only during a migration, and new data is created. You’ll want to make sure 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 information organization portion of your migration. Should you decide to use this element, you can utilize existing metadata, and augment it with the assistance of your AI capabilities.