Fraud Analytics involves the examination and investigation of fraudulent activities within an organization via study of patterns and detecting anomalies. It encompasses the identification, detection, and analysis of fraudulent schemes, transactions, or behaviours. By conducting fraud analytics through data scienceanalysis, businesses can uncover potential fraudulent activities, determine the extent of the fraud, and gather evidence for legal action or internal disciplinary measures.
Analysing expenses that are entirely fabricated and not incurred for legitimate business purposes. This can include submitting false receipts or invoices.
Examining cases where employees submit personal expenses as business expenses, such as claiming personal meals, vacations, or personal purchases as work-related expenditures.
Identifying instances where employees submit duplicate requests for the same expense, resulting in receiving multiple for a single transaction.
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