The Efficient Way To Manage Data Migration

Mapping out a plan is the most important part 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 need to include folder structure, metadata mapping, security, search capabilities, and many other components that will help users to find relevant information. It’s imperative that you spend the time to identify the problems you are having and what is needed to get resolution.

Why Do Migrations Fail?

There are numerous explanations for this, most of which revolve around not planning. While many businesses share the same requirement to procure data readily, they frequently differ on how they arrive there. There are many repositories for your use when it comes to data organization, but without a strong plan in place, these tools can fail to function properly. Be sure you’ve done your due diligence before migrating.

Wave has been expertly handling enterprise migrations and giving advisement services since the 1990s. We’ve expertly handled migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the unique hurdles that can arise in both current and legacy ECM applications and we’ve fine-tuned our methods over the years as technology has evolved. 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 necessary time to determine what you possess, how it’s cataloged, the amount and what types of information you own, and any features you need for example versions, explanations, and workflows.
Clean & Organize

Data migrations are much like moving to a new residence- identify 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 places for improvement specifically as it pertains to your organizational processes and metadata.
Test The Migration Process

Next, you should evaluate 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 snag-free.
Check In Regularly

If you find that your migration will take longer than anticipated during the benchmarking process, be sure to set up regular checkpoints during that time period and make sure no issues happen. 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 system, have a acceptance measure in place. If you’ve performed data cleanup during the migration, your validation should be able to justify that.
Account For New Content

Sometimes it’s not possible to make the entire system non-editable during a migration, and new content is included. You’ll want to ensure to account for any new metadata and any new content that’s created.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence features that can automate the data organization portion of your migration. Should you determine to use this element, you can utilize existing metadata, and augment it with the assistance of your AI tools.