Providing an Information System Based on Virtual Currency Data in the Banking Industry

This research aims to provide an information system based on virtual currency data in the banking industry in Iran. Data is one of the most significant assets of the organization. This research is applied in terms of purpose. The population includes university professors in marketing and experts, including managers of the banking industry. Sampling in the qualitative section was done purposefully, and the criteria of expertise were at least a graduate degree and ten-year of relevant work experience. Finally, 20 people were selected as samples. The method used is SWARA's quantitative prioritization method. The index of using virtual currency in Iran's sanctions situation (Q67) with a weight of 0.12 is the first. The index of entrepreneurial acceleration based on the new payment system (Q56) with a weight of 0.11 is the second priority. The index of general uncertainty about the nature of virtual currencies (Q16) with a weight of 0.09 is the third priority. The index of improving communication and interactions between customers and the bank (Q63) with a weight of 0.0859 is the fourth priority. The index of alignment of banking processes with global standards (Q61) with a weight of 0.07 is the fifth priority. Extracting useful information from the database and converting it into actionable results is the main challenge that companies face. Therefore, results show that one of the ways to the success of cryptocurrencies is the use of data-oriented information systems and data mining techniques. The data-oriented information system is one of the recent developments in data management technologies.