Evaluation of Customer Service Delivery in Banking Operation Using Python

With competition intensifying across service-oriented business, customer satisfaction is the name of game. If customers did not perceive orgnisation well, company will definitely run out business. This paper analysed data collected from service unit a particular bank using Jupyter note - framework under Python programming language to know need and improve satisfaction. From analysis, it was discovered that there were six (6) purposes customers’ visitation banking hall i.e services rendered by bank, they are: account authentication; list; authenticate user; balance check; fund transfer register customer. All except Balance Check Fund Transfer are at their peak in morning 8am. Also, user authentication has highest queue length 450 (8:00am). It also call for early part day keeps decreasing until break period when be able visit make transactions. Among all average length, followed transfer, registration, authentication, check listing with values 141.000, 131.600, 104.100, 103.500, 96.625 51.500 respectively month April. study learn how really feel about been level satisfaction, on render where immediate focus order accelerate growth because satisfied buy more, stay longer share positive experience.