Big data skills required for successful application implementation in the banking sector

Abstract

The fundamental significance of Big Data is in the possibility to enhance effectiveness and advancement for employees with regards to utilize a big volume of data, of various type. If Big Data is defined clearly and strongly characterized, banks can improve in their business, thence prompting to efficiency in various fields. The aim of this study is to identify what are factors that effect on Big Data Analytics skills and further propose a long-term development, self-efficacy and level of analytics as framework for a successful career in Big Data analytics in banking sector. This is because banking sector is one of the most services sector which are having big flow of data. Using quantitative approach to emphasize objective measurements and the statistical, numerical analysis survey in this research, 161 bankers were randomly selected from ten banks in Malaysia. The result of the study revealed that two independent variables significantly affect the successful of Big Data in banking sector which were long-term development and self-efficacy. On the other hand, the third variable (level of analytics) has fairly affect the success of Big Data through the skills indirectly.