The Efficient Way To Manage Data Migration

Planning is the most critical piece 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 aspects that will allows users to find appropriate content. It is critical that you take the time to document the problems you are having and what is required to get resolution.

Why Do Migrations Fail?

There are numerous reasons for this, most of which center around poor planning. While many businesses share the same requirement to procure data efficiently, they frequently contrast on how they get there. There are numerous repositories at your disposal when in reference to data cataloging, but without a solid plan in place, these tools can fail to function properly. Be sure you’ve thought it through carefully before migrating.

Wave has been performing enterprise migrations and providing consultation services since the ’90s. We’ve executed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our expert team appreciates the unique hurdles that can arise in both current and conventional ECM platforms and we’ve refined our approach over the years as technology has evolved. Take advantage of our competence to execute a fruitful 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 cataloged, the amount and what kinds of information you own, and any facets you require for example versions, directions, and protocols.
Clean & Organize

Data migrations are similar to moving to a new home- identify what you want to keep and what you can get rid of. Maybe you have data that is not needed. While combing through your data, take a minute to determine areas for improvement especially as it pertains to your organizational procedures and metadata.
Test The Migration Process

Next, you should test your migration and determine a criteria to see how long the migration will be. Also, implement a data swap evaluation to make sure your migration pipeline is hiccup-free.
Check In Regularly

If you notice that your migration will take longer than expected during the criteria evaluating process, be sure to implement regular checkpoints during that time period and make sure no errors occur. If they do, you can change your project plan.
Validate Your End Result

To ensure that your final product in the destination platform is equivalent to what you began with in the source system, have a validation measure in place. If you’ve completed data cleansing during the migration, your acceptance should be able to show that.
Account For New Content

Sometimes you aren’t able to make the entire system read-only during a migration, and new information is added. You’ll want to be sure to account for any new metadata and any new information that’s added.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence tools that can automate the data cataloging portion 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.