A data team discovers that customer records use inconsistent identifiers and include duplicate entries. What should it prioritize before using the data for reporting and AI?

1. Removing all metadata about the source systems
2. Training a larger model without inspecting the records
3. Copying every duplicate into more regions
4. Data-quality rules, standardization, and deduplication