Title: Visual analysis of financial big data based on data centre

Authors: Wentao Yang; Rui Tian; Lifang Zhang

Addresses: Planning and Finance Department, Yunnan Power Grid Co., Ltd., Kunming 650000, Yunnan, China ' Financial Shared Service Center, Yunnan Power Grid Co., Ltd., Qujing Power Supply Bureau, Qujing 655000, Yunnan, China ' Financial Sharing Service Center, Yunnan Power Grid Co., Ltd., Kunming Power Supply Bureau, Kunming 650000, Yunnan, China

Abstract: This paper aims to study the data middle-end means in data mining (DM) technology, and combine back propagation (BP) network to research and analyse the visualisation of financial data, so that financial data can be better combined with intelligent and convenient means. Based on the experiments in this paper, it can be seen that by analysing the relevant financial statements of H Group from 2016 to 2019, it can be effectively found that the accuracy of financial data has been effectively improved in 2016 after combining the data centre. The experimental results of this paper have shown that using the BP network as the basic method to study the visual analysis of financial big data can obtain intuitive and scientific relevant experimental data, and help the managers of the management organisation to make scientific decisions.

Keywords: data middle office; financial data; finance visualisation; data mining; BP neural network.

DOI: 10.1504/IJBIDM.2024.139450

International Journal of Business Intelligence and Data Mining, 2024 Vol.25 No.1, pp.65 - 80

Received: 12 Oct 2022
Accepted: 05 Jan 2023
Published online: 02 Jul 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article