Design and Implementation of Enterprise Refined Marketing System Under the Background of Big Data
- DOI
- 10.2991/978-94-6463-030-5_76How to use a DOI?
- Keywords
- Refined; Marketing; Visual Analysis; Cluster Analysis
- Abstract
In this paper, by adopting big data technology and methods, and combining with Java and Spring MVC framework, the construction of enterprise refined marketing system is completed, and the purpose of providing better service for enterprise refined marketing system is achieved by building the system. The construction of refined marketing system is based on customer segmentation. Through big data technology operations such as data collection, data preprocessing, data analysis and mining, it has realized the function of improving the convenience and efficiency of enterprise data query and decision-making, which is conducive to broadening marketing channels and improving customer satisfaction. At the same time, it is also helpful to promote the refined management of enterprise marketing, and finally realize the improvement of marketing efficiency. The application of the system to the marketing system has promoted the pace of refined development of the system and achieved the enterprise goal of low-cost and sustainable development. In addition, the refined marketing system also provides powerful materials for marketing.
- 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
TY - CONF AU - Xiaoyi Yuan AU - Yu Chen PY - 2022 DA - 2022/12/20 TI - Design and Implementation of Enterprise Refined Marketing System Under the Background of Big Data BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 763 EP - 772 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_76 DO - 10.2991/978-94-6463-030-5_76 ID - Yuan2022 ER -