The Efficient Way To Manage Data Migration

Mapping out a plan is the most critical piece of a migration. Every migration must have a certain amount of strategic digital transformation of the information moving from the source repository to the destination. Considerations need to include mapping metadata, folder structure, search capabilities, and many other aspects that will enable users to find pertinent data. It’s imperative that you take the time to understand the problems you are having and what is required to move forward.

Why Do Migrations Fail?

There are numerous explanations for this, most of which occur around lack of planning. While many businesses share the same requirement to procure data efficiently, they frequently contrast on how they get there. There are several locations for your use when in reference to data sorting, but without a thought-out plan in place, these programs can fail to work as expected. Be sure you’ve thought it through carefully before migrating.

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

Our expert team comprehends the different obstacles that can arise in both modern and conventional ECM tools and we’ve fine-tuned our methods over the years as technology has changed. 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 necessary time to understand what you possess, how it’s classified, the amount and what kinds of content you own, and any facets you desire such as versions, explanations, and protocols.
Clean & Organize

Data migrations are similar to moving to a new home- decide what you want to keep and what you don’t need. It’s possible that you have data that is no longer relevant. While reviewing your content, take a moment to identify opportunities for progress particularly as it relates to your operational methods and metadata.
Test The Migration Process

Next, you should assess your migration and identify a benchmark to see how long the migration will be. Also, execute a data alternation analysis to be sure your migration pipeline is free of snags.
Check In Regularly

If you see that your migration will take longer than planned during the criteria evaluating process, be sure to create regular check-ins during that cycle and make sure no errors occur. If they do, you can change your schedule.
Validate Your End Result

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

Sometimes you aren’t able to make the complete system non-editable during a migration, and new content is added. You’ll want to make sure to show any new metadata and any new content that’s included.
Leverage AI Where Possible

Many sources now offer Artificial Intelligence tools that can automate the data orchestration portion of your migration. Should you decide to use this feature, you can leverage existing metadata, and improve it with the support of your AI capabilities.