Please use this identifier to cite or link to this item:
Title: Data Visualization for Supermarket Retail Analysis
Other Titles: การสร้างภาพข้อมูลสำหรับการวิเคราะห์การขายปลีกของซุปเปอร์มาร์เก็ต
Authors: Shuming Wang
Authors: Phisanu Chiawkhun
Shuming Wang
Keywords: customer segmentation;retail enterprises;RFM model;Visualization;Clustering
Issue Date: Jun-2022
Publisher: Chiang Mai : Graduate School, Chiang Mai University
Abstract: The key words of this study are data visualization, RFM model and customer relationship management. Taking Wal-Mart as a research case, analyze the number of goods and stores in Wal-Mart supermarkets in four years (2011-2014) through data and visualize the results. Using visualize tool to analyze sales and commodity and present the results in a chart. It is particularly important to retain customers and improve cus-tomer retention rates in an environment of increasingly fierce competition among su-permarket retailers. First, the supermarket retail data is visualized to make the data set more intuitive and easy to understand. Then the supermarket can choose the RFM (Regency, Frequency, Monetary) analysis method to distinguish customer value, so as to provide marketing services for different customers. The application of RFM first conducts basic evaluation through data visualization methods, and has a general grasp of retail data, then conducts RFM modeling to obtain the customer's RFM score, fi-nally differentiates customer value.
Appears in Collections:ENG: Independent Study (IS)

Files in This Item:
File Description SizeFormat 
shuming-IS-july22-water-finalllllllllll.pdf2.48 MBAdobe PDFView/Open    Request a copy

Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.