The Efficient Way To Manage Data Migration

Planning is the most critical portion of a migration. Every migration requires a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations need to include folder structure, metadata mapping, security, search capabilities, and many other elements that will help users to find appropriate content. It’s crucial that you take the time to identify the problems you are having and what is necessary to move ahead.

Why Do Migrations Fail?

There are many explanations for this, most of which revolve around poor planning. While the majority of businesses share the same requirement to procure data readily, they frequently vary on how they get there. There are many sources for your use when referring to data cataloging, but without a solid 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 providing advisement services since the ’90s. We’ve performed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team appreciates the different obstacles that can occur in both contemporary and legacy ECM tools and we’ve refined our methods over the years as technology has evolved. 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 appropriate amount of time to understand what you possess, how it’s classified, the amount and what types of information you own, and any features you require for example versions, directions, and workflows.
Clean & Organize

Data migrations are much like moving to a new house- determine what you want to take with you and what you don’t need. It’s possible that you have data that is obsolete. While analyzing your information, take a minute to identify opportunities for progress particularly as it relates to your organizational methods and metadata.
Test The Migration Process

Next, you should assess your migration and determine a benchmark to see how drawn-out the migration will be. Also, execute a data exchange evaluation to ensure your migration pipeline is snag-free.
Check In Regularly

If you notice that your migration will take longer than anticipated during the standardizing process, be sure to set up routine check-ins during that cycle and make sure no errors occur. If they do, you can change your project plan.
Validate Your End Result

To ensure that your final product in the destination system matches what you with in the source program, have a acceptance procedure in place. If you’ve done data cleansing during the migration, your validation should be able to justify that.
Account For New Content

Sometimes you aren’t able to make the complete system non-editable during a migration, and new information is added. You’ll want to ensure to show any new metadata and any new data that’s added.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence elements that can automate the data orchestration portion of your migration. Should you determine to use this feature, you can utilize existing metadata, and enhance it with the assistance of your AI tools.