Decision making by using results of data analysis may reduce risks of actions and lead good performance in the field of real business. However, datasets are not obtained for free, and every action, such as analyses and acquisitions of data, requests the expenses. Therefore, it is important to form the hypotheses and make logical scenarios in advance from the information about datasets and analysis tools before the real actions. In this paper, based on the precondition, we conduct a workshop for observing a series of data utilization process, focusing on a gap between analysis scenarios and the actual analyses. Observing the actions of participants (discussion of data utilization and analysis, acquisition of data, or actual data analysis), we discuss the features of the gap between the scenarios and the real actions based on scenarios, and obtain suggestions for supporting data utilization.