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Duplicate Detection

Definition

A systematic search for records that share key fields (invoice number, vendor, amount, date) that should be unique, surfacing duplicate payments, double invoices, or parallel processing of the same expense.

Method
Computer-Assisted Audit Technique (CAAT)
Matched fields
Invoice number, vendor, amount, date
Surfaces
Duplicate payments, double invoices

Common questions

Why does duplicate detection match on combinations of fields rather than one field alone?+

Matching only invoice number would miss duplicates entered with a typo, while matching only amount would flag many unrelated legitimate payments. Combining fields such as vendor plus amount plus date range balances catching real duplicates against generating excessive false positives.

Does a flagged duplicate always indicate fraud?+

No, many flagged duplicates turn out to be legitimate, for example a vendor resubmitting a corrected invoice or two separate but similarly priced purchases. Each flag requires manual review before being treated as a control failure or fraud indicator.

Related terms

CAATs
Computer-Assisted Audit Techniques: software-driven procedures applied to electronic data files that test the full population of transactions rather than a sample, covering...
Gap Test
A test that identifies missing numbers in a document sequence (check numbers, invoice series, purchase orders) where continuity is expected; gaps often...
Join-and-Match
A cross-table technique that links two or more data files on a common key, such as matching vendor bank account numbers against...
Ratio Analysis
Calculation of financial ratios across periods or business units to identify statistically unusual deviations that might indicate manipulation: cost ratios, gross margin...
Sequence Analysis
Verification that a numbered series progresses in expected order without skips, reversals, or unexpected repetitions. It is the positive counterpart to gap...
Stratification
The grouping of numeric values into defined ranges (strata) to reveal the distribution of a dataset. In fraud detection, large concentrations of...

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