Proceedings of the 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022)

Statistics and Big Data in Business Marketing

Authors
Yuwei Chen
Sandy Spring Friends School, Sandy Spring, Maryland, America, 20860
*Corresponding author. Email: chenyuw@ssfs.org.
Corresponding Author
Yuwei Chen
Available Online 1 July 2022.
DOI
10.2991/aebmr.k.220603.098How to use a DOI?
Keywords
Big Data; Marketing; Statistic; Business; Analysis
Abstract

In a society where information speed and development are extremely fast, it needs to make good use of all the available information to reduce uncertainty. As a result, the author intends to discuss statistics and big data in business marketing using existing literature and case studies. Specifically, this paper studies how big data predicts future industry trends in marketing through data collection and analysis, taking the financial statement of YongHui supermarket as an example. The future prospects and difficulties of big data are also discussed. The result shows that big data analysis and utilization has had a good start and development in business marketing. Big data is not only used for the short-term marketing strategy of enterprises, but also for the future innovation and development and long-term planning of enterprises. In the future, the development and technology of big data will become more and more mature, despite some challenges.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
1 July 2022
ISBN
978-94-6239-585-5
ISSN
2352-5428
DOI
10.2991/aebmr.k.220603.098How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Yuwei Chen
PY  - 2022
DA  - 2022/07/01
TI  - Statistics and Big Data in Business Marketing
BT  - Proceedings of the 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022)
PB  - Atlantis Press
SP  - 615
EP  - 618
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220603.098
DO  - 10.2991/aebmr.k.220603.098
ID  - Chen2022
ER  -