The Efficient Way To Manage Data Migration

Outlining a plan is the most crucial portion of a migration. Every migration needs a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations must include folder structure, metadata mapping, security, search capabilities, and many other aspects that will allows users to find appropriate data. It is crucial that you invest the time to learn about the problems you’re having and what is needed to get resolution.

Why Do Migrations Fail?

There are numerous causes for this, most of which occur around not planning. While most companies share the same need to access data easily, they frequently contrast on how they arrive there. There are numerous repositories at your disposal when referring to data organization, but without a thought-out plan in place, these tools can fail to perform. Be sure you’ve crossed your t’s and dotted your i’s before migrating.

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

Our expert team understands the particular obstacles that can occur in both current and legacy ECM applications and we’ve distilled our approach over the years as technology has expanded. Utilize our proficiency to execute 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 own, how it’s classified, the quantity and what types of content you possess, and any features you need for example versions, directions, and workflows.
Clean & Organize

Data migrations are much like moving to a new house- decide what you want to bring along with you and what you no longer need. Maybe you have data that is obsolete. While reviewing your content, take a second to pinpoint places for betterment especially as it pertains to your organizational methods and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a criteria to see how drawn-out the migration will be. Also, implement a data alternation evaluation to make sure your migration pipeline is free of snags.
Check In Regularly

If you find that your migration will take longer than planned during the benchmarking process, be sure to set up regular progress checks during that time period and make sure no problems occur. If they do, you can fine-tune your timeline.
Validate Your End Result

To make sure that what you end up with in the destination system matches what you started with in the source program, have a verification measure in place. If you’ve completed data cleansing during the migration, your verification should be able to account for that.
Account For New Content

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

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