The Efficient Way To Manage Data Migration

Planning is the most crucial piece 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 aspects that will allows users to find pertinent information. It is critical that you invest the time to learn about the problems you’re having and what is needed to move ahead.

Why Do Migrations Fail?

There are several explanations for this, most of which revolve around lack of planning. While the majority of businesses share the same requirement to access data efficiently, they frequently vary on how they get there. There are numerous repositories for your use when it comes to data sorting, but without a solid plan in place, these programs can fail to work as expected. Be sure you’ve done your due diligence before migrating.

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

Our expert team understands the different challenges that can arise in both contemporary and traditional ECM tools and we’ve distilled our methods over the years as technology has evolved. Take advantage of our proficiency to implement 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 cataloged, the amount and what groups of data you possess, and any features you need for example versions, directions, and protocols.
Clean & Organize

Data migrations are much like moving to a new residence- identify what you want to bring along with you and what you no longer need. Maybe you have data that is obsolete. While reviewing your content, take a minute to pinpoint opportunities for progress particularly as it pertains to your institutional processes and metadata.
Test The Migration Process

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

If you find that your migration will take longer than expected during the benchmarking process, be sure to implement routine check-ins during that cycle and be sure no problems happen. If they do, you can fine-tune your timeline.
Validate Your End Result

To make sure that what you end up with in the destination platform coincides with what you began with in the source program, have a acceptance procedure in place. If you’ve performed data cleansing during the migration, your validation should be able to justify that.
Account For New Content

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

Many sources now offer Artificial Intelligence tools that can automate the data organization portion of your migration. Should you choose to use this tool, you can utilize existing metadata, and improve it with the help of your AI features.