Using Information Systems to process massive data, quickly and exactly, organizations have chances to enhance their performance. The limitations of IS function to support decision-making, however, have been frequently mentioned In this context, in addition to traditional mathematical model that is a kernel DSS, the needs for Data Warehouse which is a system supporting business process analysis are emerging. In this study, for those needs first we introduce issues of implementation methodology for D/W, especially various models relating development process. Then we investigate correlation between these models and key factors for success of R/W,