Implementation of Big Data Analysis in Banking Management Reform, Action Aid and Risk Control

DOI

10.2991/978-94-6463-408-2_38How to use a DOI?

Keywords

Bank; Finance; Big Data; Economic; Management; Digital Reform

Abstract

As a matter of fact, Commercial banks are economical institutions making money by taking deposits, lending loans and investing. In previous, banks were hard to deal with data created in every daily processes. Big data mining technology is a hi-tech tool helping collecting, storing and analyzing a huge amount of information swiftly. It is been proved powerful in analyzing the reality and making predictions. In recent years, commercial banks applied the big data mining to deal with both information created in their own processes and in the Internet. The big data mining helps commercial banks to complete their digital reforms to access efficiency. According to the analysis, big data mining also aids banks’ operations as well as control the risks. To sum up, the big data mining technology is changing the management of bank. Overall, these results shed light on guiding further exploration of big data implementation in finance field.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Haotian Yu
PY  - 2024
DA  - 2024/05/07
TI  - Implementation of Big Data Analysis in Banking Management Reform, Action Aid and Risk Control
BT  - Proceedings of the 9th International Conference on Financial Innovation and Economic Development (ICFIED 2024)
PB  - Atlantis Press
SP  - 336
EP  - 341
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-408-2_38
DO  - 10.2991/978-94-6463-408-2_38
ID  - Yu2024
ER  -