A team is creating a dashboard for executives that compiles data from multiple departments. Some values are mismatched after transformation. Which measure helps confirm the data is ready for executive review while keeping sensitive information secure?
Store all data on a local machine and ignore field mismatches for now
Encrypt every data field in the final dashboard to bypass manual checks
Cross-validate each record with the original departmental data before finalizing
Delete fields that do not match and focus on the valid ones
Cross-checking records across departmental sources identifies errors introduced during transformation. Encryption or deleting fields does not resolve data mismatches. Saving data locally without verification might compromise the final results. Cross-validation helps confirm completeness and maintains confidence in the final dashboard.
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