A revenue manager receives different sales totals from two independent systems each month. To ensure the final data aligns when preparing a monthly report, which method is preferred for confirming that the values match across both systems?
Merging all records into one dataset for simplicity
Inspecting metadata elements to verify field names
Cross-validation systematically compares multiple datasets or segments to confirm consistent values where needed. This contrasts with choosing a single sample, merging data into one dataset without confirming each record, or just reviewing metadata, none of which verify all subsets for matching details.
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