In Data Science data patterns that have different characteristics from normal data are called anomalies. By detecting anomalies, it provides critical and actionable information in various application domains such as eCommerce, retail , banking etc.
It is now established that customer profitability (CP) enables us to understand high yielding customers from a pool of consumers. However, to measure customer profitability, there are several ways to quantify the same.