Research Article
Research on Strategies’ Optimization Based on the Analysis of Financial Big Data Take Midea Group as An Example
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328735, author={Yumeng Lu and Kai Xiong}, title={Research on Strategies’ Optimization Based on the Analysis of Financial Big Data Take Midea Group as An Example}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={financial big data; strategies’ optimization; midea group;}, doi={10.4108/eai.2-12-2022.2328735} }
- Yumeng Lu
Kai Xiong
Year: 2023
Research on Strategies’ Optimization Based on the Analysis of Financial Big Data Take Midea Group as An Example
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328735
Abstract
Financial strategy refers to the enterprise financial decision to make specific guidance planning to the future development of the enterprise based on the specific analysis and measurement on the enterprise’s internal and external environment, and its content mainly includes fundraising strategy, investment strategy, operational strategy and profit distribution strategy. Selecting Midea Group as the research object through its analysis of financial big data, this paper puts forward a series of optimization strategies such as increasing long-term borrowing, optimizing financing strategy by increasing financing methods, increasing foreign investment, developing online channel flow, optimizing investment strategy by reducing monetary capital holding, optimizing operation strategy by paying attention to receivables turnover, increasing profit distribution form and appropriately reducing profit distribution amount.