The Efficient Way To Manage Data Migration

Outlining a plan is the most important element 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 must include search capabilities, security, mapping metadata, folder structure, and many other aspects that will enable users to find appropriate information. It’s critical that you take the time to learn about the problems you are having and what is required to resolve them.

Why Do Migrations Fail?

There are many reasons for this, most of which revolve around lack of planning. While most companies share the same need to procure data readily, they frequently vary on how they arrive there. There are numerous locations for your use when referring to data sorting, but without a thought-out plan in place, these tools can fail to function properly. Be sure you’ve thought it through carefully before migrating.

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

Our highly capable team appreciates the unique obstacles that can happen in both contemporary and conventional ECM applications and we’ve refined our approach over the years as technology has expanded. Leverage our proficiency to deploy a successful 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, the quantity and what kinds of information you have, and any features you need like versions, annotations, and processes.
Clean & Organize

Data migrations are similar to moving to a new home- decide what you want to bring along with you and what you no longer need. Perhaps you have data that is obsolete. While reviewing your data, take a moment to determine places for progress particularly as it pertains to your organizational methods and metadata.
Test The Migration Process

Next, you should evaluate your migration and identify a benchmark to see how drawn-out the migration will be. Also, perform a data swap evaluation to be sure your migration pipeline is snag-free.
Check In Regularly

If you find that your migration will take longer than anticipated during the standardizing process, be sure to set up regular progress checks during that window and make sure no issues arise. If they do, you can change your schedule.
Validate Your End Result

To be sure that your end result in the destination system matches what you started with in the source program, have a acceptance protocol in place. If you’ve done data regulation during the migration, your verification 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 created. 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 elements that can automate the content organization portion of your migration. Should you determine to use this feature, you can leverage existing metadata, and augment it with the help of your AI capabilities.