Asia-Pacific Journal of Business (아태비즈니스연구)

KNU The Institute of Management & Economy Research (강원대학교 경영경제연구소)
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A Study on Big Data-Driven Business in the Financial Industry: Focus on the Organization and Process of Using Big Data in Banking Industry

금융산업의 빅데이터 경영 사례에 관한 연구: 은행의 빅데이터 활용 조직 및 프로세스를 중심으로

  • Gyu-Bae Kim (Department of Business Administration, Daejeon University) ;
  • Yong Cheol Kim (Department of Business Administration, The Catholic University of Korea) ;
  • Moon Seop Kim (Department of Business Administration, Kangwon National University)
  • Received : 2024.02.29
  • Accepted : 2024.03.24
  • Published : 2024.03.31
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Abstract

Purpose - The purpose of this study was to analyze cases of big data-driven business in the financial industry, focusing on organizational structure and business processes using big data in banking industry. Design/methodology/approach - This study used a case study approach. To this end, cases of two banks implementing big data-driven business were collected and analyzed. Findings - There are two things in common between the two cases. One is that the central tasks for big data-driven business are performed by a centralized organization. The other is that the role distribution and work collaboration between the headquarters and business departments are well established. On the other hand, there are two differences between the two banks. One marketing campaign is led by the headquarters and the other marketing campaign is led by the business departments. The two banks differ in how they carry out marketing campaigns and how they carry out big data-related tasks. Research implications or Originality - When banks plan and implement big data-driven business, the common aspects of the two banks analyzed through this case study can be fully referenced when creating an organization and process. In addition, it will be necessary to create an organizational structure and work process that best fit the special situation considering the company's environment or capabilities.

Keywords

Acknowledgement

이 논문은 2022학년도 대전대학교 교내학술연구비 지원에 의해 연구되었음.

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