The Efficient Way To Manage Data Migration

Planning is the most critical element 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 should include mapping metadata, folder structure, search capabilities, and many other elements that will help users to find pertinent information. It is imperative that you take the time to understand the problems you are having and what is required to resolve them.

Why Do Migrations Fail?

There are numerous explanations for this, most of which revolve around not planning. While most organizations share the same desire to access data easily, they frequently contrast on how they arrive there. There are many repositories that you can leverage when it comes to data organization, but without a strong plan in place, these resources can fail to work as expected. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

Wave has been performing enterprise migrations and giving consultation services since the 1990s. We’ve executed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team comprehends the particular hurdles that can arise in both modern and legacy ECM applications and we’ve refined our approach over the years as technology has expanded. Leverage our competence to deploy a successful 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, how much and what groups of content you have, and any features you desire such as versions, annotations, and workflows.
Clean & Organize

Data migrations are similar to moving to a new house- identify what you want to take with you and what you don’t need. Perhaps you have data that is no longer relevant. While analyzing your information, take a second to pinpoint areas for betterment especially as it relates to your institutional methods and metadata.
Test The Migration Process

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

If you see that your migration will take longer than planned during the criteria evaluating process, be sure to create routine progress checks during that time period and be sure no errors arise. If they do, you can fine-tune your schedule.
Validate Your End Result

To be sure that what you end up with in the destination platform is equivalent to what you with in the source system, have a verification protocol in place. If you’ve done data cleansing during the migration, your acceptance should be able to account for that.
Account For New Content

Sometimes you can’t make the whole system read-only during a migration, and new content is included. You’ll want to ensure to account for any new metadata and any new data that’s created.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence tools that can automate the data orchestration process of your migration. Should you determine to use this feature, you can utilize existing metadata, and improve it with the support of your AI tools.