The Efficient Way To Manage Data Migration

Mapping out a plan is the most important portion of a migration. Every migration requires a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations need to include folder structure, metadata mapping, security, search capabilities, and many other elements that will help users to find relevant data. It’s imperative that you take the time to document the problems you have and what is necessary to get resolution.

Why Do Migrations Fail?

There are numerous explanations for this, most of which center around lack of planning. While many businesses share the same requirement to procure data efficiently, they frequently contrast on how they land there. There are several repositories at your disposal when referring to data sorting, but without a solid 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 ’90s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team appreciates the different hurdles that can arise in both modern and traditional ECM applications and we’ve fine-tuned our approach over the years as technology has expanded. Utilize 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 determine what you own, how it’s classified, the amount and what groups of data you own, and any facets you require for example versions, annotations, and protocols.
Clean & Organize

Data migrations are much like moving to a new residence- decide what you want to bring along with you and what you don’t need. Maybe you have data that is obsolete. While reviewing your data, take a minute to identify places for progress especially as it relates to your organizational methods and metadata.
Test The Migration Process

Next, you should assess your migration and pinpoint a standard to see how long the migration will be. Also, perform a data swap analysis to make sure your migration pipeline is hiccup-free.
Check In Regularly

If you see that your migration will take longer than anticipated during the benchmarking process, be sure to implement regular check-ins during that window and make sure no problems occur. 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 platform is equivalent to what you began with in the source system, have a acceptance procedure in place. If you’ve completed data regulation during the migration, your acceptance should be able to justify that.
Account For New Content

Sometimes you can’t make the entire system read-only during a migration, and new content is created. You’ll want to be sure to show any new metadata and any new content that’s included.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence features that can automate the content orchestration portion of your migration. Should you determine to use this tool, you can use existing metadata, and augment it with the help of your AI features.