The Efficient Way To Manage Data Migration

Outlining a plan is the most crucial 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 aspects that will help users to find appropriate information. It is imperative that you take the time to understand the problems you have and what is required to move ahead.

Why Do Migrations Fail?

There are numerous explanations for this, most of which occur around lack of planning. While many companies share the same need to access data efficiently, they frequently vary on how they arrive there. There are several repositories for your use when referring to data sorting, but without a thought-out plan in place, these programs can fail to function properly. Be sure you’ve thought it through carefully before migrating.

Wave has been expertly handling enterprise migrations and delivering strategic planning services since the mid ‘90s. We’ve expertly handled migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team understands the unique hurdles that can arise in both modern and legacy ECM tools and we’ve refined our ways over the years as technology has evolved. Take advantage of our proficiency to implement a prosperous 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 own, how it’s cataloged, how much and what kinds of data you have, and any elements you need like versions, annotations, and workflows.
Clean & Organize

Data migrations resemble moving to a new residence- determine what you want to bring along with you and what you don’t need. Perhaps you have data that is no longer relevant. While reviewing your data, take a second to identify opportunities for progress specifically as it applies to your operational methods and metadata.
Test The Migration Process

Next, you should evaluate your migration and pinpoint a criteria to see how lengthy the migration will be. Also, perform a data swap analysis to make 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 implement regular progress checks during that window and ensure no errors occur. If they do, you can fine-tune your schedule.
Validate Your End Result

To be sure that your end result in the destination program matches what you started with in the source program, have a verification protocol in place. If you’ve performed data cleansing during the migration, your acceptance should be able to show that.
Account For New Content

Sometimes you aren’t able to make the entire system read-only during a migration, and new information is created. You’ll want to be sure to account for any new metadata and any new content that’s added.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence features that can automate the information organization process of your migration. Should you decide to use this element, you can leverage existing metadata, and augment it with the assistance of your AI capabilities.