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 AJIBM  Vol.9 No.10 , October 2019
Analysis on the Membership Management of a Fashion Brand by Big Data Technology
Abstract: This paper makes multi-dimensional big data analysis on the membership data of a well-known women’s bag fashion brand in China. We use a combination of data cleaning, data visualization, data classification, correlation analysis and data prediction. Based on these analyses, we found eight business insights and made twelve suggestions for business development of the fashion brand. These suggestions include both business development and strategic aspects, as well as suggestions for the upgrading of the member management system. The member management system of the fashion brand has not been very effective maintenance, for example, a lot of data is incomplete, which has a wide range of representation in the member management of Chinese enterprises. Our big data-based analysis method is of great significance for using these incomplete member data to guide the development of the business.
Cite this paper: Huang, J. (2019) Analysis on the Membership Management of a Fashion Brand by Big Data Technology. American Journal of Industrial and Business Management, 9, 1931-1948. doi: 10.4236/ajibm.2019.910126.
References

[1]   Tan, P.-N., Steinbach, M. and Kumar, V. (2019) Introduction to Data Mining. Pearson Education, Inc., London.

[2]   Han, J. and Kamber, M. (2012) Data Mining: Concepts and Techniques. Elsevier, Amsterdam.

[3]   Davenport, T.H. and Kim, J.H. (2013) Keeping up with the Quants: Your Guide to Understanding and Using Analytics. Harvard Business Review Press, Boston, MA.

[4]   Chun, W. (2017) Core Python Programming. Dreamtech Press, New Delhi.

[5]   McKinney, W. (2018) Python for Data Analysis: Data Wrangling with Pandas, Num Py, and IPython. OReilly Media, Inc., Boston, MA.

[6]   Jin, C.D. (2018) Hot Product Strategy (Chinese Version). Beijing United Publishing Co. Ltd., Beijing.

[7]   Handy, C. (2017) The Second Curve (Chinese Version). China Machine Press, Beijing.

[8]   Weng, Y. (2018) The Future of New Retail (Chinese Version). Beijing United Publishing Co. Ltd., Beijing.

[9]   http://www.ttpaihang.com/news/daynews/2019/19032140486.htm

[10]   http://www.360doc.com/content/18/0714/22/55533623_770419024.shtml

[11]   McKinsey (2016) McKinsey Big Data Guide. Machinery Industry Press, Beijing.

[12]   Bernard M. (2018) Data Strategy—How to Profit from Big Data, Data Analysis and the Internet of Everything. Machinery Industry Press, Beijing.

 
 
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