The Efficient Way To Manage Data Migration

Outlining a plan is the most important 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 must include search capabilities, security, mapping metadata, folder structure, and many other elements that will help users to find appropriate information. It’s critical that you spend the time to document the problems you are having and what is needed to move ahead.

Why Do Migrations Fail?

There are several reasons for this, most of which occur around poor planning. While the majority of companies share the same need to procure data readily, they frequently differ on how they get there. There are many sources at your disposal when it comes to data sorting, but without a solid plan in place, these tools can fail to perform. Be sure you’ve thought it through carefully before migrating.

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

Our experienced team understands the unique obstacles that can occur in both current and conventional ECM tools and we’ve fine-tuned our methods over the years as technology has expanded. Take advantage of our competence to implement a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to assess what you own, how it’s cataloged, the amount and what kinds of data you possess, and any features you require for example versions, explanations, and protocols.
Clean & Organize

Data migrations resemble moving to a new house- determine what you want to keep and what you don’t need. It’s possible that you have data that is not needed. While combing through your information, take a moment to identify areas for progress particularly as it relates to your organizational procedures and metadata.
Test The Migration Process

Next, you should test your migration and pinpoint a benchmark to see how lengthy the migration will be. Also, perform a data alternation evaluation to ensure your migration pipeline is hiccup-free.
Check In Regularly

If you notice that your migration will take longer than expected during the benchmarking process, be sure to create regular check-ins during that time period and make sure no issues arise. 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 platform matches what you with in the source platform, have a verification measure in place. If you’ve completed data cleanup during the migration, your verification should be able to show that.
Account For New Content

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

Many repositories now offer Artificial Intelligence elements that can automate the data orchestration part of your migration. Should you choose to use this element, you can utilize existing metadata, and augment it with the support of your AI features.