The Efficient Way To Manage Data Migration

Outlining a plan is the most crucial piece 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 mapping metadata, folder structure, search capabilities, and many other components that will enable users to find pertinent information. It is crucial that you spend the time to document the problems you have and what is needed to move ahead.

Why Do Migrations Fail?

There are several reasons for this, most of which center around poor planning. While the majority of businesses share the same requirement to access data readily, they frequently vary on how they arrive there. There are many repositories that you can leverage when in reference to data cataloging, but without a solid plan in place, these resources can fail to perform. Be sure you’ve done your due diligence before migrating.

Wave has been expertly handling enterprise migrations and giving advisement services since the 1990s. We’ve expertly handled migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the particular challenges that can occur in both contemporary and traditional ECM platforms and we’ve fine-tuned our methods over the years as technology has expanded. Utilize our expertise to implement a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to assess what you possess, how it’s organized, the quantity and what kinds of data you own, and any elements you need like versions, annotations, and protocols.
Clean & Organize

Data migrations are similar to moving to a new residence- identify what you want to keep and what you can get rid of. Perhaps you have data that is no longer relevant. While reviewing your information, take a moment to determine opportunities for progress especially as it pertains to your organizational methods and metadata.
Test The Migration Process

Next, you should assess your migration and identify a criteria to see how drawn-out the migration will be. Also, perform a data alternation analysis to ensure your migration pipeline is snag-free.
Check In Regularly

If you see that your migration will take longer than expected during the standardizing process, be sure to set up routine checkpoints during that time period and ensure no problems happen. If they do, you can fine-tune your project plan.
Validate Your End Result

To ensure that your end result in the destination system coincides with what you with in the source system, have a validation procedure in place. If you’ve completed data cleanup during the migration, your validation should be able to account for that.
Account For New Content

Sometimes it’s not possible to make the whole system non-editable during a migration, and new data is included. You’ll want to make sure to justify any new metadata and any new information that’s created.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence elements that can automate the data cataloging process of your migration. Should you decide to use this tool, you can use existing metadata, and enhance it with the support of your AI capabilities.