The Efficient Way To Manage Data Migration

Outlining a plan is the most crucial element 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 search capabilities, security, mapping metadata, folder structure, and many other elements that will allows users to find relevant content. It is imperative that you take the time to understand the problems you’re having and what is necessary to resolve them.

Why Do Migrations Fail?

There are many causes for this, most of which revolve around poor planning. While the majority of companies share the same need to procure data easily, they frequently differ on how they get there. There are several locations for your use when in reference to data cataloging, but without a thought-out plan in place, these tools can fail to work as expected. Be sure you’ve done your due diligence before migrating.

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

Our expert team understands the unique obstacles that can arise in both current and legacy ECM applications and we’ve fine-tuned our ways over the years as technology has evolved. Take advantage of our expertise 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 organized, the amount and what groups of content you possess, and any features you need like versions, annotations, and workflows.
Clean & Organize

Data migrations are much like moving to a new house- decide what you want to bring along with you and what you no longer need. It’s possible that you have data that is no longer relevant. While analyzing your information, take a minute to identify areas for betterment especially as it applies to your organizational processes and metadata.
Test The Migration Process

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

If you see that your migration will take longer than expected during the benchmarking process, be sure to create routine check-ins during that time period and ensure no problems arise. If they do, you can fine-tune your schedule.
Validate Your End Result

To be sure that what you end up with in the destination platform is equivalent to what you started with in the source system, have a acceptance protocol in place. If you’ve done data cleanup during the migration, your validation should be able to justify that.
Account For New Content

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

Many sources now offer Artificial Intelligence features that can automate the data cataloging portion of your migration. Should you choose to use this feature, you can leverage existing metadata, and enhance it with the assistance of your AI tools.