The Efficient Way To Manage Data Migration

Planning is the most crucial piece of a migration. Every migration needs a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations must include search capabilities, security, mapping metadata, folder structure, and many other elements that will help users to find appropriate content. It is imperative that you invest the time to understand the problems you’re having and what is necessary to get resolution.

Why Do Migrations Fail?

There are numerous reasons for this, most of which revolve around not planning. While many organizations share the same desire to find data readily, they frequently differ on how they land there. There are numerous sources that you can leverage when it comes to data sorting, but without a strong plan in place, these programs can fail to perform. Be sure you’ve thought it through carefully before migrating.

Wave has been executing enterprise migrations and delivering advisement services since the mid ‘90s. We’ve performed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team understands the particular hurdles that can happen in both contemporary and legacy ECM applications and we’ve distilled 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 the time to assess what you possess, how it’s classified, the quantity and what types of content you possess, and any facets you require like versions, explanations, and protocols.
Clean & Organize

Data migrations resemble moving to a new home- identify what you want to keep and what you no longer need. Maybe you have data that is not needed. While analyzing your data, take a moment to pinpoint areas for improvement especially as it pertains to your operational methods and metadata.
Test The Migration Process

Next, you should evaluate your migration and identify a criteria to see how lengthy the migration will be. Also, perform a data exchange analysis to ensure your migration pipeline is snag-free.
Check In Regularly

If you find that your migration will take longer than anticipated during the standardizing process, be sure to implement routine check-ins during that cycle and ensure no issues arise. If they do, you can adjust your project plan.
Validate Your End Result

To ensure that your end result in the destination system matches what you started with in the source platform, have a verification procedure in place. If you’ve completed data cleanup during the migration, your acceptance should be able to account for that.
Account For New Content

Sometimes you aren’t able to make the entire system non-editable during a migration, and new information is created. You’ll want to be sure to justify any new metadata and any new data that’s included.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence elements that can automate the information orchestration part of your migration. Should you choose to use this feature, you can use existing metadata, and enhance it with the assistance of your AI capabilities.