The Efficient Way To Manage Data Migration

Mapping out a plan is the most important part 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 need to include search capabilities, security, mapping metadata, folder structure, and many other aspects that will help users to find pertinent information. It’s critical that you take the time to learn about the problems you’re having and what is required to resolve them.

Why Do Migrations Fail?

There are numerous causes for this, most of which center around not planning. While the majority of companies share the same need to find data easily, they frequently vary on how they land there. There are many locations at your disposal when it comes to data sorting, but without a thought-out plan in place, these programs can fail to perform. Be sure you’ve done your due diligence before migrating.

Wave has been performing enterprise migrations and providing consultation services since the mid ‘90s. We’ve executed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team understands the particular obstacles that can occur in both contemporary and legacy ECM applications and we’ve refined our approach over the years as technology has evolved. Utilize our proficiency to execute a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the appropriate amount of time to assess what you own, how it’s classified, how much and what groups of information you own, and any features you require such as versions, explanations, and protocols.
Clean & Organize

Data migrations are much like moving to a new residence- decide what you want to take with you and what you can get rid of. Perhaps you have data that is not needed. While combing through your information, take a second to identify areas for betterment especially as it applies to your operational processes and metadata.
Test The Migration Process

Next, you should test your migration and identify a benchmark to see how long the migration will be. Also, implement a data exchange analysis to make sure your migration pipeline is snag-free.
Check In Regularly

If you find that your migration will take longer than planned during the benchmarking process, be sure to create regular checkpoints during that time period and be sure no issues happen. If they do, you can fine-tune your project plan.
Validate Your End Result

To ensure that what you end up with in the destination program is equivalent to what you began with in the source program, 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 data is included. You’ll want to make sure to account for any new metadata and any new information that’s added.
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 tool, you can leverage existing metadata, and augment it with the help of your AI features.