Currently, financial transactions made through banks are popular form of doing e-commerce and e-business transactions wide-commonly used by people from all levels and classes of society. On the other hand, there is a close competition amongst the banks regarding the “customer service” to attract (and retain) more and more customers day by day. In other words, nowadays customer service has become the key success factor of the banks (whether private or estate/governmental) and not surprisingly many of the banks try to optimize their customer service systems by reducing the number of failures eventually leading to higher customer satisfaction and more customer retention.
This research was conducted with the intention of analyzing “Failure” and “Without Any Respond” types of the incoming calls within an even log previously collected from the call center section (i.e., customer service) of a private bank in Bangkok, Thailand. The main idea was to first find and detect the potential/existing problems of the clients and operators handling the customer service incoming calls/contacts, and later find proper solutions to these problems. To do this, we used the Process Mining software Disco developed by Fluxicon company and we applied Fuzzy Miner technique on the collected call center data/event log.
The findings of the research can bring profound benefits for to bank executives and customer service administrators/operators dealing with a wide variety of the customer/clients needs and demands by eventually assisting them to detect the existing errors/flaws of the current customer service systems, or providing better decision making insights and approaches in the management level.