THE APPLICATION RESEARCH OF BIG DATA TECHNOLOGY IN RISK MANAGEMENT OF BANKING INDUSTRY IN CHINA / ZHANG YINGTAO.
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TextPublication details: Kuala Lumpur : Asia Pacific University, 2019Description: x, 64 pages. : illustrations ; 30 cmSubject(s): Big data -- Security measures | Financial risk management -- Data processing | Financial services industry -- Security measuresLOC classification: PM-32-30Online resources: Available in APres - Requires login to view full text. Dissertation note: A project submitted in partial fulfilment of the requirements of Asia Pacific University of Technology and Innovation
for the MSc. in Information Technology Management (UCMF1808BITM). Summary: The rise of big data is a huge transformation for the traditional banking industry in China. The use of big data in the banking industry is becoming more and more widespread with the development of Internet information technology. Because credit business, as the main business of traditional Banks, is characterized by high risk, the implementation of big data will greatly enhance banks ' ability to control risk. However, because in the actual operation of big data software there are still many issues. The main purpose of this paper is therefore to analyze the problems faced by the risk management of banks in the era of big data, to propose some strategic recommendations in various aspects for improving the ability of risk management in the banking industry, and to specify the process of construction of risk control platform.
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Reference
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APU Library Reference Collection | Masters Theses | PM-32-30 (Browse shelf (Opens below)) | 1 | Not for loan (Restricted access) | Available in APres | 00018489 |
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A project submitted in partial fulfilment of the requirements of Asia Pacific University of Technology and Innovation
for the MSc. in Information Technology Management (UCMF1808BITM).
The rise of big data is a huge transformation for the traditional banking industry in China. The use of big data in the banking industry is becoming more and more widespread with the development of Internet information technology. Because credit business, as the main business of traditional Banks, is characterized by high risk, the implementation of big data will greatly enhance banks ' ability to control risk. However, because in the actual operation of big data software there are still many issues. The main purpose of this paper is therefore to analyze the problems faced by the risk management of banks in the era of big data, to propose some strategic recommendations in various aspects for improving the ability of risk management in the banking industry, and to specify the process of construction of risk control platform.
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