In recent years total quality management (TQM) has moved out of the boundaries of the manufacturing and service industry, and has opened its way into the educational institutions. One main question is remained to be settled .Are medical student’s customers of medical education. The author discusses the specific features of TQM in context of medical education and answers this question.

This essay proposes results of three investigations on satisfaction of Industry & Mine Bank's customers. This research rendered yearly and pursues following purposes: attainment to resolution for increasing customers' satisfaction, knowing of customers' attitudes on Bank employees, customers' Judgment on regularities of Bank, measuring customers' satisfaction, knowing of customers' status. Hypotheses of mentioned investigations related relation of above independent variables and customer's satisfaction. This research used longitudinal method and its technique of data gathering is questionnaire. Sample size was 675 customers at the first phase, 681 customers sat the second phase, and 556 customers at the final phase. Achieved result strum this research indicates: 1) The correlation between service quality and customers' satisfactions at %44 level. 2) The correlation between customers' attitudes and customers' satisfaction is at %33 level. 3) The correlation between customers' judgment on regalities and customers' satisfaction is at %28 level.

Some activities such as long-term planning and marketing can be designed and performed through having enough information from various groups of customers and then clustering and classifying them, till the organization reach its efficiency to the possible extent. The aim of this research is to cluster the customers of Mellat Bank Customer’s Club into two groups of loyal and disloyal. Data were collected using the information of about 10300 members of this club. This data consists of two main parts including demographic information and information related to the used services by the club members. Furthermore, this research is descriptive-survey in terms of method. In addition, data were analyzed using data mining technique (C5.0, Interactive CHAID algorithms) and some other techniques. The obtained results and patterns can be used toward predicting new customers' loyalty as well as the needs of each groups of customers based on the obtained groups using their demographic information.