Bigdata Analysis Implementation in Financial Field: Evidence from China Merchants Bank & Ant Group
DOI:
https://doi.org/10.54097/hbem.v10i.8137Keywords:
Machine learning; Commercial bank; Bigdata Analysis.Abstract
Contemporarily, with the growing demands for data analysis, bigdata and machine learning scenarios are proposed in various aspects in order to handle the issues. Especially in finance field, the analysis approach could rapidly and directly increase the efficiency of daily issues as well as reduce the traditional cost. In addition, it can help to distinguish the risk, dig out the logic chain, as well as evaluate the value in not only bank industry but also the insurance, stocks as well as the Fintech corporations. This study chooses two cases to analysis the measures as well as the routine to add the bigdata approaches into the corporation business mode and daily issues. To be specific, the Ant and China Merchants Bank are selected as the two target companies. Moreover, the limitations as well as the defects as well as the future prospects have been given. Overall, these results shed light on guiding further exploration of implementation the state-of-art bigdata analysis techniques and concepts into finance field.
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References
Fan J, Han F, Liu H. Challenges of big data analysis. National science review, 2014, 1(2): 293-314.
Shoro A G, Soomro T R. Big data analysis: Apache spark perspective. Global Journal of Computer Science and Technology, 2015, 15(C1): 7-14.
Sagiroglu S, Sinanc D. Big data: A review. 2013 international conference on collaboration technologies and systems (CTS). IEEE, 2013: 42-47.
Balne S. Analysis on research methods in bigdata applications. International Journal of Innovative Research in Computer and Communication Engineering, 2020, 8(10): 4059-4063.
Wang J, Crawl D, Purawat S, et al. Big data provenance: Challenges, state of the art and opportunities. 2015 IEEE international conference on big data (Big Data). IEEE, 2015: 2509-2516.
Schmuck R, Benke M. An overview of innovation strategies and the case of Alibaba. Procedia Manufacturing, 2020, 51: 1259-1266.
Chen J, Tao Y, Wang H, et al. Big data based fraud risk management at Alibaba. The Journal of Finance and Data Science, 2015, 1(1): 1-10.
Zhou J. Big data analytics and intelligence at alibaba cloud. Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems. 2017.
Lin H, Feng X, Wu D, et al. Legal Governance of Internet Platform Monopoly Based on Big Data Analysis: A Review of Alibaba Case. Mobile Information Systems, 2022, 2022.
Liang J. E-commerce Service System for Cloud Stall Application of Big Data. 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021). Atlantis Press, 2022: 317-322.
Cheng B, Feng W. Analysis of the Application of Big Data in Banking Sector.2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2021: 1397-1401.
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