In this case study, we'll look at a banking use case, wherein the goal is to detect a suspicious transaction in real time. A notification will be sent to the customer to evaluate and block it. At the same time, we'll build behaviour models from historical data and current transaction data to detect future events based on the relevance of the issues detected.