The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial piece 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 search capabilities, security, mapping metadata, folder structure, and many other aspects that will allows users to find pertinent data. It is imperative that you spend the time to understand the problems you have and what is necessary to move forward.

Why Do Migrations Fail?

There are several causes for this, most of which center around lack of planning. While many organizations share the same desire to procure data readily, they frequently contrast on how they land there. There are several locations at your disposal when in reference to data organization, but without a strong plan in place, these programs can fail to perform. Be sure you’ve thought it through carefully before migrating.

Wave has been expertly handling enterprise migrations and providing advisement services since the ’90s. We’ve expertly handled migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team appreciates the unique hurdles that can occur in both contemporary and traditional ECM applications and we’ve fine-tuned our methods over the years as technology has evolved. Leverage 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 classified, the amount and what kinds of content you have, and any features you need such as versions, annotations, and protocols.
Clean & Organize

Data migrations resemble moving to a new house- identify what you want to take with you and what you can get rid of. Maybe you have data that is no longer relevant. While analyzing your data, take a minute to determine areas for improvement especially as it pertains to your institutional methods and metadata.
Test The Migration Process

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

If you find that your migration will take longer than anticipated during the standardizing process, be sure to create regular checkpoints during that window and ensure no problems arise. If they do, you can adjust your schedule.
Validate Your End Result

To be sure that your end result in the destination program coincides with what you began with in the source program, have a acceptance measure in place. If you’ve performed data cleansing during the migration, your verification should be able to show that.
Account For New Content

Sometimes it’s not possible to make the complete system non-editable 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 created.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence elements that can automate the content orchestration process of your migration. Should you choose to use this element, you can leverage existing metadata, and augment it with the help of your AI capabilities.