The Efficient Way To Manage Data Migration

Planning is the most important part of a migration. Every migration needs a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations should include search capabilities, security, mapping metadata, folder structure, and many other components that will enable users to find relevant content. It is crucial that you spend the time to identify the problems you have and what is required to move forward.

Why Do Migrations Fail?

There are many causes for this, most of which center around lack of planning. While many companies share the same need to access data easily, they frequently vary on how they arrive there. There are several sources at your disposal when referring to data sorting, but without a strong plan in place, these tools can fail to work as expected. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

Wave has been executing enterprise migrations and giving advisement services since the 1990s. We’ve performed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the unique challenges that can arise in both modern and conventional ECM tools and we’ve fine-tuned our ways over the years as technology has changed. Take advantage of our expertise to implement a fruitful migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the the time to understand what you possess, how it’s organized, the amount and what types of content you own, and any elements you desire for example versions, directions, and processes.
Clean & Organize

Data migrations are much like moving to a new residence- determine what you want to bring along with you and what you no longer need. Maybe you have data that is not needed. While analyzing your information, take a second to identify areas for improvement specifically as it relates to your institutional methods and metadata.
Test The Migration Process

Next, you should assess your migration and identify a standard to see how lengthy the migration will be. Also, execute a data exchange analysis to ensure your migration pipeline is free of snags.
Check In Regularly

If you see that your migration will take longer than expected during the criteria evaluating process, be sure to set up regular progress checks during that time period and be sure no problems happen. If they do, you can adjust your schedule.
Validate Your End Result

To be sure that your final product in the destination system matches what you started with in the source system, have a validation measure in place. If you’ve done data cleanup during the migration, your verification 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 created. You’ll want to ensure to account for any new metadata and any new data that’s created.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence elements that can automate the data organization portion of your migration. Should you decide to use this tool, you can utilize existing metadata, and improve it with the help of your AI tools.