Fraud Detection and Prevention using Data Analytics
Fraud detection and prevention using data analytics involves analyzing large datasets to identify patterns and anomalies indicative of fraudulent activities. By leveraging advanced algorithms and machine learning techniques, organizations can proactively detect and mitigate fraud risks, protecting their assets and reputation.