The Efficient Way To Manage Data Migration

Planning is the most crucial piece of a migration. Every migration must have a certain amount of strategic digital transformation of the content moving from the source repository to the destination. Considerations need to include search capabilities, security, mapping metadata, folder structure, and many other components that will enable users to find appropriate information. It is crucial that you invest the time to understand the problems you are having and what is necessary to move ahead.

Why Do Migrations Fail?

There are numerous reasons for this, most of which occur around not planning. While most companies share the same need to access data readily, they frequently vary on how they land there. There are several locations for your use when referring to data organization, but without a strong plan in place, these tools can fail to function properly. Be sure you’ve thought it through carefully before migrating.

Wave has been executing enterprise migrations and providing strategic planning services since the ’90s. We’ve performed migrations for customers utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our experienced team appreciates the different obstacles that can happen in both current and traditional ECM platforms and we’ve refined our ways over the years as technology has changed. Leverage our proficiency 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 determine what you have, how it’s organized, the quantity and what kinds of information you have, and any elements you need like versions, annotations, and workflows.
Clean & Organize

Data migrations resemble moving to a new residence- determine what you want to bring along with you and what you don’t need. It’s possible that you have data that is obsolete. While combing through your content, take a moment to identify opportunities for improvement specifically as it applies to your operational processes and metadata.
Test The Migration Process

Next, you should assess your migration and determine a benchmark to see how long the migration will be. Also, implement a data exchange analysis to ensure your migration pipeline is snag-free.
Check In Regularly

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

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

Sometimes you can’t make the complete system non-editable during a migration, and new data is included. You’ll want to ensure to justify any new metadata and any new data that’s included.
Leverage AI Where Possible

Many repositories now offer Artificial Intelligence tools that can automate the information orchestration process of your migration. Should you determine to use this tool, you can leverage existing metadata, and enhance it with the assistance of your AI features.