Management and Optimization of Enterprise Financial Risk under the Background of Big Data
Xin Qian, Liangcan Liu
Available Online 2 November 2020.
- https://doi.org/10.2991/assehr.k.201030.049How to use a DOI?
- big data, financial risk, optimization strategy, corporate finance
- The rapid development of big data technology has changed the traditional business model of many industries and brought opportunities and challenges to the further development. During the period of rapid development of information technology, the concept of enterprise management is more conservative and the internal structure is unreasonable, which is incompatible with the tide of application of big data technology. Meanwhile, the arrival of the big data era requires financial management personnel to master the original basic vocational skills, and the ability to analyze and use data, which brings great challenges to the ability of financial management personnel. First, this paper analyzes the problems existing in enterprise financial management, then discusses the opportunities and risks faced by enterprises and financial personnel under the background of big data, and then puts forward the strategy of optimizing enterprise financial management under the background of big data. For the field of financial risk management, big data technology can improve the efficiency of management, reduce financial risk in time, and optimize the structure of enterprises.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xin Qian AU - Liangcan Liu PY - 2020 DA - 2020/11/02 TI - Management and Optimization of Enterprise Financial Risk under the Background of Big Data BT - Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020) PB - Atlantis Press SP - 242 EP - 247 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201030.049 DO - https://doi.org/10.2991/assehr.k.201030.049 ID - Qian2020 ER -