"A comprehensive synthetic data solution should address the entire life cycle from source to target, including data preparation tools to extract and mask the data, and tools that data consumers can use to control data usage and versioning, loading and reserving data, rollback, and other functions. It should also provide capabilities for self-service access by end users, reducing their dependence on data teams.."
