The Efficient Way To Manage Data Migration

Mapping out a plan is the most crucial portion of a migration. Every migration requires a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations should include folder structure, metadata mapping, security, search capabilities, and many other elements that will enable users to find relevant data. It’s imperative that you take the time to understand the problems you have and what is required to get resolution.

Why Do Migrations Fail?

There are numerous causes for this, most of which revolve around not planning. While the majority of companies share the same need to access data readily, they frequently vary on how they arrive there. There are several repositories at your disposal when referring to data organization, but without a thought-out plan in place, these programs can fail to perform. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

Wave has been expertly handling enterprise migrations and providing advisement services since the ’90s. We’ve expertly handled migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team appreciates the particular obstacles that can occur in both modern and traditional ECM platforms and we’ve refined our approach over the years as technology has evolved. Take advantage of our expertise to deploy a successful 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 have, how it’s classified, the quantity and what groups of information you have, and any facets you need for example versions, annotations, and processes.
Clean & Organize

Data migrations resemble moving to a new house- identify what you want to take with you and what you can get rid of. Perhaps you have data that is obsolete. While reviewing your information, take a minute to identify areas for improvement especially as it relates to your institutional processes and metadata.
Test The Migration Process

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

If you see that your migration will take longer than expected during the benchmarking process, be sure to set up regular check-ins during that cycle and be sure no errors happen. If they do, you can change your timeline.
Validate Your End Result

To make sure that your end result in the destination platform is equivalent to what you began with in the source program, have a validation measure in place. If you’ve completed data cleanup during the migration, your validation should be able to show that.
Account For New Content

Sometimes it’s not possible to make the entire 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 content that’s created.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence features that can automate the data organization 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 capabilities.