Debunking myths around data migration

In this section, we will use the knowledge of the why, what, and how around data migration, along with the best practices mentioned when it comes to the adoption of data quality and data governance in the earlier sections, to help debunk some of the myths in the industry around the data migration approach. The general confusion around data migration always has been around how to decide what level of quality is enough for you to go through the life cycle of the project, as in some cases, the last stage of data migration from quality and governance might only be possible during the integration testing cycle.

Data migration to S/4HANA is also a time-consuming process and error-prone as well, if not planned appropriately from the initial stages of the project. There are different myths and issues that will create more delays in the adoption of the right solution. The following are some of the myths:

All data has to be migrated from the source...