The Efficient Way To Manage Data Migration

Planning is the most important piece of a migration. Every migration must have a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations must include folder structure, metadata mapping, security, search capabilities, and many other elements that will allows users to find relevant data. It is imperative that you invest the time to learn about the problems you are having and what is necessary to resolve them.

Why Do Migrations Fail?

There are numerous explanations for this, most of which occur around lack of planning. While most organizations share the same desire to procure data easily, they frequently vary on how they arrive there. There are many repositories 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 crossed your t’s and dotted your i’s before migrating.

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

Our expert team comprehends the unique challenges that can arise in both current and traditional ECM applications and we’ve fine-tuned our methods over the years as technology has evolved. Take advantage of our expertise to deploy a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to determine what you have, how it’s organized, the amount and what groups of data you own, and any features you require for example versions, explanations, and processes.
Clean & Organize

Data migrations are much like moving to a new home- decide what you want to keep and what you don’t need. It’s possible that you have data that is obsolete. While combing through your data, take a second to identify areas for betterment specifically as it pertains to your organizational methods and metadata.
Test The Migration Process

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

If you see that your migration will take longer than planned during the criteria evaluating process, be sure to set up regular check-ins during that cycle and make sure no issues arise. If they do, you can change your timeline.
Validate Your End Result

To make sure that your final product in the destination system matches what you started with in the source program, have a validation protocol in place. If you’ve performed data regulation during the migration, your acceptance 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 make sure to show any new metadata and any new information that’s created.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence elements that can automate the data cataloging process of your migration. Should you decide to use this feature, you can leverage existing metadata, and enhance it with the assistance of your AI capabilities.