Anomaly Detection Software is used to describe computer applications that help recognize parts of a dataset that do not behave as expected. Anomaly Detection Software observes occurrences or items that do not follow an expected pattern or other such items in a dataset. Anomaly Detection Software is used to detect non-uniformity in datasets. Anomaly Detection Software is important to businesses as it helps ensure their operations follow an expected and defined pattern. These computer applications detect anomalies that can also be called exceptions, deviations or outliers. Anomaly Detection Software goes beyond just detecting such anomalies, but also have features that you handle them effectively. Anomaly Detection Software has smart alert system that notifies users with important information as soon as deviations are detected. Many Anomaly Detection Software also feature powerful visualizations that are updated in real time and help with the easy detection of outliers. Anomaly Detection Software can train itself to detect anomalies such as trends, similar behaviour, recurring events and correlations. More advanced Anomaly Detection Software usually have easy integration and do not require data preparation or the setting of parameters or thresholds. They can also perform various Anomaly Detection techniques such as supervised, unsupervised and semi-supervised anomaly detections.