In recent years, the size of data in the world has increased dramatically several times. Banks also generate large amounts of data in their processes and sometimes spend exorbitant costs to collect and maintain it. Some banking industry experts estimate a sevenfold incr More
In recent years, the size of data in the world has increased dramatically several times. Banks also generate large amounts of data in their processes and sometimes spend exorbitant costs to collect and maintain it. Some banking industry experts estimate a sevenfold increase in existing data by 2020. Today, big data technology is considered as a solution to exploit and use this volume of information. However, reviewing and processing big data as well as examining the effectiveness of its use in the field of banking is considered as a challenge. Therefore, in this study, the role of big data management in improving the decision-making of banking organizations (Case study of Sepah Bank) was investigated. For this purpose, the statistical population of this study includes 130 experts from all departments of the information technology department of Sepah Bank, which was not sampled due to the limited statistical population. The standard 20-item big data management questionnaire, the 22-item decision-making empowerment questionnaire and the 10-item decision-making quality questionnaire based on Shamim et al.'s (2019) research were the basis of research after localization. Descriptive and inferential results of research data were analyzed using SPSS 19 and PLS software. The results showed that organizational culture with a coefficient of 0.446 has the most positive and significant relationship with empowerment. Empowerment also has a positive and significant relationship with a coefficient of 0.645 with decision effectiveness and a coefficient of 0.884 with decision efficiency.
Manuscript profile
