outlier analysis

Yes, Big Data can be used for anomaly detection and outlier analysis. By leveraging the power of Big Data technologies, organizations can analyze large volumes of data to identify patterns and detect anomalies. This is particularly useful in various domains such as cybersecurity, finance, and manufacturing. Big Data analytics techniques, such as machine learning algorithms and statistical analysis, can help identify unusual patterns or outliers that may indicate fraudulent activities, system failures, or other critical events. By utilizing Big Data, organizations can proactively detect and mitigate anomalies, improving decision-making and operational efficiency.