Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Design and Development of Visual Analysis System for Enterprises Economic Operation Indicators in Big Data Era

Authors
Yang Xin1, *, Yinning He2
1Institute of Financial Research, Yunnan University of Finance and Economics, 650221, Kunming, P.R. China
2School of Economics, Yunnan University of Finance and Economics, 650221, Kunming, P.R. China
*Corresponding author.
Corresponding Author
Yang Xin
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_23How to use a DOI?
Keywords
economic operation indicators; visual analysis system; visualization technology; SVG
Abstract

Based on B/S architecture, this paper has completed the construction of the visual analysis system of enterprise economic operation indicators. Among them, the realization of D3.js visualization framework by JS in the client is not only conducive to the display of economic indicators, but also conducive to the realization of dynamic interaction and animation effects. The visual analysis system is based on the needs of users, with programming language and visual technology as the means, and the basic technologies of data collection, data storage and data processing, which are common in big data technology, are used from data acquisition to data display. It not only improves the accuracy and convenience of data query, but also facilitates to check and understand the status of various indicators of economic operation and the relationship between indicators, providing strong data support for the final decision-making of enterprises. At the same time, the system not only achieves the goal of fine management of enterprise economic operation indicators, but also achieves the effect of effectively reducing labor cost and improving work efficiency, and further promotes the development of enterprise fine and information.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_23
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_23How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yang Xin
AU  - Yinning He
PY  - 2022
DA  - 2022/12/29
TI  - Design and Development of Visual Analysis System for Enterprises Economic Operation Indicators in Big Data Era
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 151
EP  - 157
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_23
DO  - 10.2991/978-94-6463-042-8_23
ID  - Xin2022
ER  -