The Efficient Way To Manage Data Migration

Planning is the most crucial part 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 need to include folder structure, metadata mapping, security, search capabilities, and many other components that will help users to find pertinent data. It is imperative that you take the time to learn about the problems you are having and what is necessary to resolve them.

Why Do Migrations Fail?

There are many explanations for this, most of which occur around poor planning. While the majority of organizations share the same desire to access data easily, they frequently contrast on how they land there. There are numerous sources for your use when in reference to data organization, but without a thought-out plan in place, these programs 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 delivering advisement services since the ’90s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team appreciates the different challenges that can occur in both current and conventional ECM applications and we’ve distilled our approach over the years as technology has changed. Utilize our expertise to execute a successful 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 classified, how much and what types of information you own, and any features you need such as versions, directions, and processes.
Clean & Organize

Data migrations resemble moving to a new house- identify what you want to keep and what you don’t need. It’s possible that you have data that is not needed. While reviewing your content, take a minute to pinpoint places for betterment specifically as it relates to your organizational methods 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, execute a data alternation evaluation to ensure your migration pipeline is snag-free.
Check In Regularly

If you notice that your migration will take longer than expected during the standardizing process, be sure to create routine check-ins during that cycle and be sure no errors occur. If they do, you can change your schedule.
Validate Your End Result

To be sure that your final product in the destination system is equivalent to what you began with in the source platform, have a verification measure in place. If you’ve done data regulation during the migration, your acceptance should be able to account for that.
Account For New Content

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

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