The report explores why companies need Anomaly Detection:

• Anomalies aren’t categorically good or bad, they’re just deviations from the expected value for a metric at any given point in time.
• Would you rather find out instantly from your own data metrics that something is amiss with your online sales or from angry (and now lost) customers on social media?
• Real-time anomaly detection is advantageous even when the detected anomalies include ones which don’t require an immediate response.
• When working with thousands or millions of metrics, real-time decision making requires online machine learning algorithms.