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Internal audit data analytics uses data tools and techniques to enhance audit efficiency and insight. By analyzing large volumes of transactional data, auditors can identify anomalies, trends, or control weaknesses in real-time. Data analytics supports continuous auditing, risk assessment, and fraud detection. Common techniques include visual dashboards, pattern analysis, and predictive modeling. This approach enables internal auditors to provide more value beyond traditional sampling and manual testing.
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