![]() ![]() If that business typically makes one sale per minute and suddenly receives thousands of orders at once, that’s also an anomaly. If an e-commerce business’s average sales invoice typically totals $10 and it abruptly receives an order for $10,000, that’s an anomaly. In computing, anomalies are inextricably related to data: An anomaly can be any type of unexpected activity in any type of dataset. Anomalies are also known as outliers, exceptions, spikes, deviations and other similar terms indicating an occurrence that signals a developing problem. In the broadest sense, an anomaly is any event, action, observation, abnormal behavior or item that is out of the ordinary. In this article, we’ll discuss the various types of anomalies and the benefits of detecting them, while investigating the process of anomaly detection in greater detail. Machine learning techniques are also becoming increasingly important to help discover anomalies as datasets become very large and complex. The process of anomaly detection revolves around the use of statistical tools and other methodologies applied to metrics or a dataset. Anomaly detection - especially unsupervised anomaly detection, which identifies previously unseen rare events without prior knowledge - is also playing an increasingly important role in cybersecurity, particularly with the rise of zero trust methodologies that rely on constant network surveillance for bad actors. ![]() But is the business prepared for this sales spike? What’s more important is that the organization needs to have a system in place to become aware of any anomalous behavior, good or bad, so that it may respond accordingly - whether that is patching a security flaw, replacing a failing component or deploying additional servers to keep up with rising sales. If sales suddenly spike because a famous social media influencer has written about a company’s product, this anomalous behavior could be beneficial. Detecting these anomalies is now a critical practice, as anomalies can be indicators of a security breach, a hardware or software problem, shifting customer demands, or any number of challenges that require immediate attention.Īnomalies aren’t always bad. Anything that deviates from an established baseline (within a certain, predefined tolerance) is considered an anomaly. Anomaly detection is the process of locating unusual points or patterns in a set of data. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |