The Efficient Way To Manage Data Migration

Outlining a plan is the most crucial part of a migration. Every migration must have a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations need to include mapping metadata, folder structure, search capabilities, and many other aspects that will help users to find relevant content. It’s imperative that you take the time to identify the problems you have and what is required to get resolution.

Why Do Migrations Fail?

There are numerous causes for this, most of which center around poor planning. While the majority of companies share the same need to access data readily, they frequently contrast on how they get there. There are many sources that you can leverage when in reference to data organization, but without a thought-out plan in place, these tools can fail to work as expected. Be sure you’ve done your due diligence before migrating.

Wave has been executing enterprise migrations and providing advisement services since the mid ‘90s. We’ve performed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team understands the unique obstacles that can happen in both modern and traditional ECM platforms and we’ve refined our ways over the years as technology has changed. Leverage our competence 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 determine what you have, how it’s classified, how much and what groups of content you have, and any features you desire such as versions, explanations, and workflows.
Clean & Organize

Data migrations are similar to moving to a new home- determine what you want to bring along with you and what you don’t need. Perhaps you have data that is no longer relevant. While combing through your information, take a moment to identify opportunities for progress particularly as it pertains to your operational processes and metadata.
Test The Migration Process

Next, you should evaluate your migration and identify a criteria to see how long the migration will be. Also, perform a data alternation test to be sure your migration pipeline is snag-free.
Check In Regularly

If you find that your migration will take longer than planned during the benchmarking process, be sure to create regular progress checks during that window and ensure no problems occur. If they do, you can adjust your schedule.
Validate Your End Result

To be sure that what you end up with in the destination program is equivalent to what you with in the source platform, have a acceptance protocol in place. If you’ve completed data cleanup during the migration, your validation should be able to justify that.
Account For New Content

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

Many sources now offer Artificial Intelligence tools that can automate the information organization part of your migration. Should you decide to use this tool, you can leverage existing metadata, and enhance it with the help of your AI capabilities.