Overview
Data Migrations are often overlooked in the case of SF Learning implementations. In my experience data migration efforts drive many configuration decisions and should be front and center during any implementation.
Too often SF Learning is implemented based on existing processes in a legacy LMS. After the system is up and running the data migration effort begins. As during any data migration effort, data clean-up is inevitable. Most organizations strive towards some sort of annual data archiving and audit process, but often fall short resulting with a system full of irrelevant data.
Despite having the same owner (SAP) the two systems are vastly different and interpret similar concepts differently. Data migration from SAP LSO to SAP SF Learning is not a one-to-one proposition. Values have to be interpreted and transformed.
Data Clean-Up
Every training organization has data that should not be migrated. This could be test courses and users, abandoned training, or old mistakes. While migrating to a new LMS it is a great opportunity to do some spring cleaning.
Keep in mind that data cleansing could lead to a better implementation as abandoned values will not be configured into the system.