The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial element 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 should include search capabilities, security, mapping metadata, folder structure, and many other aspects that will allows users to find appropriate content. It’s crucial that you take the time to document the problems you are having and what is necessary to get resolution.

Why Do Migrations Fail?

There are numerous explanations for this, most of which occur around not planning. While most companies share the same need to find data readily, they frequently contrast on how they get there. There are many repositories for your use when it comes to data cataloging, but without a solid plan in place, these programs can fail to function properly. Be sure you’ve done your due diligence before migrating.

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

Our experienced team comprehends the different hurdles that can arise in both contemporary and traditional ECM applications and we’ve fine-tuned our approach over the years as technology has expanded. Utilize our expertise to deploy 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 determine what you own, how it’s organized, the amount and what kinds of information you possess, and any elements you need like versions, explanations, and processes.
Clean & Organize

Data migrations resemble moving to a new residence- decide what you want to take with you and what you no longer need. It’s possible that you have data that is no longer relevant. While reviewing your data, take a moment to pinpoint places for improvement especially as it relates to your organizational processes and metadata.
Test The Migration Process

Next, you should assess your migration and pinpoint a standard to see how drawn-out the migration will be. Also, implement a data exchange analysis to be sure your migration pipeline is free of snags.
Check In Regularly

If you find that your migration will take longer than planned during the standardizing process, be sure to implement routine checkpoints during that window and ensure no problems happen. If they do, you can adjust your timeline.
Validate Your End Result

To make sure that your final product in the destination program coincides with what you started with in the source platform, have a acceptance protocol in place. If you’ve completed data cleanup during the migration, your acceptance 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 content is included. You’ll want to be sure to account for any new metadata and any new data that’s included.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence tools that can automate the information orchestration process of your migration. Should you choose to use this tool, you can use existing metadata, and improve it with the support of your AI capabilities.