The Efficient Way To Manage Data Migration

Outlining a plan is the most critical portion of a migration. Every migration must have a certain amount of strategic digital transformation of the content 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 pertinent content. It is imperative that you take the time to identify the problems you are having and what is needed to resolve them.

Why Do Migrations Fail?

There are numerous reasons for this, most of which revolve around not planning. While most organizations share the same desire to find data efficiently, they frequently contrast on how they get there. There are many locations at your disposal when it comes to data cataloging, but without a strong plan in place, these tools can fail to perform. Be sure you’ve done your due diligence before migrating.

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

Our experienced team understands the particular obstacles that can occur in both contemporary and conventional ECM platforms and we’ve fine-tuned our approach over the years as technology has changed. Leverage our competence to deploy a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to assess what you own, how it’s organized, how much and what kinds of content you possess, and any features you desire like versions, annotations, and workflows.
Clean & Organize

Data migrations are much like moving to a new residence- determine what you want to take with you and what you no longer need. Perhaps you have data that is not needed. While reviewing your content, take a minute to determine areas for improvement especially as it relates to your institutional methods and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a benchmark to see how drawn-out the migration will be. Also, perform a data swap evaluation to be sure your migration pipeline is hiccup-free.
Check In Regularly

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

To make sure that your final product in the destination program is equivalent to what you with in the source platform, have a validation protocol in place. If you’ve completed data cleansing during the migration, your validation should be able to justify that.
Account For New Content

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

Many programs now offer Artificial Intelligence elements that can automate the data cataloging portion of your migration. Should you decide to use this element, you can utilize existing metadata, and augment it with the help of your AI tools.