The Efficient Way To Manage Data Migration

Planning is the most critical 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 folder structure, metadata mapping, security, search capabilities, and many other aspects that will help users to find pertinent data. It’s imperative that you take the time to document the problems you are having and what is necessary to move ahead.

Why Do Migrations Fail?

There are numerous explanations for this, most of which occur around poor planning. While most organizations share the same desire to find data efficiently, they frequently vary on how they arrive there. There are numerous sources for your use when referring to data sorting, but without a strong plan in place, these tools can fail to work as expected. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

Wave has been executing enterprise migrations and delivering strategic planning services since the 1990s. We’ve performed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team comprehends the unique hurdles that can happen in both contemporary and legacy ECM platforms and we’ve refined our approach over the years as technology has expanded. Leverage our competence 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 classified, the amount and what types of data you possess, and any facets you need for example versions, directions, and workflows.
Clean & Organize

Data migrations resemble moving to a new home- determine what you want to take with you and what you can get rid of. Maybe you have data that is not needed. While reviewing your data, take a minute to identify opportunities for betterment especially as it applies to your operational processes and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a criteria to see how lengthy the migration will be. Also, execute a data exchange analysis to be sure your migration pipeline is free of snags.
Check In Regularly

If you notice that your migration will take longer than anticipated during the benchmarking process, be sure to create regular progress checks during that cycle and be sure no errors happen. If they do, you can change your project plan.
Validate Your End Result

To ensure that your final product in the destination platform coincides with what you began with in the source platform, have a verification measure in place. If you’ve performed data regulation during the migration, your validation should be able to account for that.
Account For New Content

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

Many repositories now offer Artificial Intelligence tools that can automate the content cataloging process of your migration. Should you choose to use this feature, you can leverage existing metadata, and augment it with the assistance of your AI tools.