Data Analytics for Finding Corruption
According to the Association of Certified Fraud Examiners, in the past only 14% of detected corruption has been found by internal audit. Ernst & Young has determined that this is because traditional internal audit tests are not effective for identifying high-risk transactions that may indicate the presence of bribery and corruption. But there are new approaches to data analytics that integrate statistical analysis, anomaly detection, data visualization and text mining to detect bribery and corruption at an early stage. In this webinar, our expert panel will discuss the tools, technologies and methodologies to mine financial accounting data and identify areas where potential improper activity may exist within your organization.
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