Legacy data migration is a critical aspect of a Revenue Cloud implementation and certain considerations can indeed expand the project scope:
A) Fragmented and incomplete information will need to be aggregated and validated, otherwise the solution will yield unexpected results: Data quality is a key factor in any data migration project. If the legacy data is fragmented or incomplete, additional effort will be required to aggregate and validate the data before it can be migrated to the new system1.
B) Extracting from multiple sources takes additional resources and time to access and process: If the legacy data resides in multiple sources, it can increase the complexity of the data extraction process. This can require additional resources and time, thus expanding the project scope1.
E) Large volumes of data take a longer time to load: The volume of data to be migrated can significantly impact the time required for the data load process. Large volumes of data can take a longer time to load, which can extend the project timeline2.
C) The creation of external objects will bypass the need for legacy data migration: While creating external objects can help integrate external data sources with Salesforce, it doesn't necessarily bypass the need for data migration. The data still needs to be accessible and in a format that Salesforce can understand3.
D) The Amendments and Renewals process will be subject to customizations: While amendments and renewals are important aspects of the CPQ process, they are not directly related to the data migration process3.