The DQS knowledge-driven solution uses two fundamental steps to cleanse data:
- Builds a Knowledge base through the knowledge management process
- Changes to be done (if needed for the Knowledge semantics to satisfy) in the source data based on the knowledge in the KB. These are done through a data quality project.
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