Banks need to be able to collect data from multiple sources, detect key events, and use enhanced alert techniques for various banking transactions. For example, customers need to receive alerts for potential fraudulent transactions for amounts withdrawn that exceed a specified threshold, or when large amounts are withdrawn multiple times in a short span. DMAT account holders must receive alerts when a specific stock price reaches a profitable price. Additionally, the Bank Manager must also receive alerts to ensure added security, who can in turn alert the customer who has no access to mails at the time. The manager can also temporarily block malicious card usage until a verification process is complete.

Given the complexity of data, the immediate requirement of the bank is to be able to scale up, and turn the volume, velocity, and variety of data into actionable and real-time intelligence. A bank needs the entire system infrastructure to run at optimum performance to monitor incoming transactions against individual history, and approve or reject transactions and alert the customer on a real-time basis.