Application of Data Mining in Business Analysis

DOI

10.2991/978-94-6463-042-8_143How to use a DOI?

Keywords

Business Analysis; Data mining; Big Data; Marketing; Business Decision

Abstract

In the big data era, data are the future. Efficiently dig and analyze the potential business value behind a large amount of data is an urgent problem for marketing industry. Mining effective information requires the use of business analysis. This paper discussed the necessity of business analysis for the marketing, as well as some methods that can be used in making business decisions and data mining, finally discuss the future research and development fields about business analysis and data mining technology. When selecting analytical methods, it should be combined with the actual business situations and decision analysis purposes. When a certain method has defects, analyst can consider combining some different analysis methods to make a complement with each other. When data mining technology is applied to different social industries, it is necessary to notice the privacy and confidentiality of data information. Last, in addition to helping marketing managers find competitive advantages, business analysis can also combine different fields or industries through a strong data relationship network to optimize resource allocation and utilization, help decision makers to make efficient and valuable decisions.

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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TY  - CONF
AU  - Xinyue Li
PY  - 2022
DA  - 2022/12/29
TI  - Application of Data Mining in Business Analysis
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1003
EP  - 1010
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_143
DO  - 10.2991/978-94-6463-042-8_143
ID  - Li2022
ER  -