The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial piece of a migration. Every migration needs 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 aspects that will enable users to find relevant content. It’s critical that you invest the time to learn about the problems you are having and what is needed to move ahead.

Why Do Migrations Fail?

There are numerous reasons for this, most of which center around not planning. While the majority of organizations share the same desire to procure data easily, they frequently vary on how they arrive there. There are many locations for your use when it comes 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 performing enterprise migrations and delivering strategic planning services since the mid ‘90s. We’ve executed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team understands the unique obstacles that can arise in both contemporary and traditional ECM applications and we’ve refined our approach over the years as technology has expanded. Leverage our expertise to implement a successful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to determine what you have, how it’s classified, the amount and what kinds of data you own, and any facets you need for example versions, explanations, and protocols.
Clean & Organize

Data migrations resemble moving to a new residence- identify what you want to bring along with you and what you no longer need. Maybe you have data that is no longer relevant. While reviewing your information, take a second to determine areas for betterment specifically as it pertains to your organizational procedures and metadata.
Test The Migration Process

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

If you see that your migration will take longer than expected during the benchmarking process, be sure to implement routine checkpoints during that cycle and be sure no errors arise. If they do, you can change your project plan.
Validate Your End Result

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

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

Many programs now offer Artificial Intelligence tools that can automate the content cataloging part of your migration. Should you choose to use this feature, you can leverage existing metadata, and enhance it with the help of your AI features.