Big Data Financial Analysis of Vanke's Solvency Based on Power BI Software

Tieping Wang

2022

Abstract

Big data financial analysis is the specific application of big data information technology in financial analysis. Power BI software can be used for visualization of the company's big data financial analysis. Solvency analysis allows firm managers, investors, creditors to understand the financial status and financial risk of the firm. The paper uses Power BI software to conduct big data financial analysis on Vanke’s solvency. The paper adopts the industry analysis method and trend analysis method, and takes the real estate industry and the industry's leading Greenfields as the reference objects, and conducts an in-depth analysis of Vanke. From 2016 to 2020, Vanke's short-term solvency index was lower than the industry average and empirical value, and the short-term financial risk was relatively large; the long-term solvency gradually improved, but it was still lower than the overall level of the industry.

Paper Citation

in Harvard Style

Wang T. (2022). Big Data Financial Analysis of Vanke's Solvency Based on Power BI Software. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 61-66. DOI: 10.5220/0012023600003620

in Bibtex Style

@conference{icemme22,
author={Tieping Wang},
title={Big Data Financial Analysis of Vanke's Solvency Based on Power BI Software},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={61-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012023600003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Big Data Financial Analysis of Vanke's Solvency Based on Power BI Software
SN - 978-989-758-636-1
AU - Wang T.
PY - 2022
SP - 61
EP - 66
DO - 10.5220/0012023600003620
PB - SciTePress