The Efficient Way To Manage Data Migration

Outlining 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 should include folder structure, metadata mapping, security, search capabilities, and many other elements that will enable users to find pertinent data. It is crucial that you spend the time to understand the problems you are having and what is required to resolve them.

Why Do Migrations Fail?

There are numerous explanations for this, most of which occur around poor planning. While the majority of businesses share the same requirement to access data efficiently, they frequently vary on how they arrive there. There are several sources at your disposal when referring to data sorting, but without a thought-out plan in place, these tools can fail to work as expected. Be sure you’ve thought it through carefully before migrating.

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

Our experienced team comprehends the particular obstacles that can happen in both modern and legacy ECM applications and we’ve fine-tuned our methods over the years as technology has expanded. Take advantage of 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 classified, how much and what types of content you have, and any elements you need such as versions, annotations, and processes.
Clean & Organize

Data migrations resemble moving to a new home- 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 Maybe you have data that is obsolete.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 moment to pinpoint places for improvement specifically as it pertains to your organizational processes and metadata.
Test The Migration Process

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

If you see that your migration will take longer than anticipated during the criteria evaluating process, be sure to implement routine progress checks during that time period and be sure no errors happen. If they do, you can adjust your timeline.
Validate Your End Result

To make sure that your end result in the destination platform is equivalent to what you began with in the source platform, have a acceptance protocol in place. If you’ve completed data cleanup during the migration, your verification should be able to account for that.
Account For New Content

Sometimes you aren’t able to make the whole system read-only during a migration, and new data is created. You’ll want to ensure to show any new metadata and any new content that’s added.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence tools that can automate the data cataloging part of your migration. Should you choose to use this feature, you can utilize existing metadata, and improve it with the help of your AI capabilities.