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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/84086

    Title: 大數據分析應用於連鎖量販店營運之個案研究-以C量販店為例
    Authors: 葉后儀;Yeh, Hou-Yi
    Contributors: 資訊管理學系在職專班
    Keywords: 大數據;促銷檔期;情報分析系統;Big data;Promotion schedule;Intelligence analysis system
    Date: 2020-07-23
    Issue Date: 2020-09-02 18:02:49 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 零售連鎖量販店可謂是消費者在日常生活中食衣住行之供應站,在地小人稠的寶島台灣,各大跨國連鎖量販店業者主要也是看中台灣的消費能力,這十多年來紛紛吸引業者進駐。在量販產業競爭激烈的經濟環境體系中,如何應用大數據來解決經營策略上的問題,以及導入大數據分析對企業內部組織變革所帶來的影響等議題,來做為本論文所探討之要點。
    ;Retail chain stores can be described as a supply center for consumers in their daily life. In Taiwan, where people are densely populated, multinational chain stores are bullish about Taiwan residents’ spending power. Over the past ten years, multinational companies are attracted to this densely populated and competitive market to set up their branches. In this highly competitive business environment, how to use big data to solve their business and strategic problems, as well as to analyze on the impact of big data that may affect the change of the organizations, are the main points discussed in this paper.
      With the advancement and popularity of information technology, chained retailers are receiving data from consumers’ s transactions all the time. These huge amounts of data are important assets for the enterprises. Data within the organization, such as sales analysis, forecasting, product recommendations, and decision guidance, all contribute to the control and execution of the company′s business decisions.
      This research uses a case study method to describe the company’s transformation process with information technology. Through big data, observations, actual participation, and collection of research-related documents, the effectiveness of the company’s system introduction and migration is presented. The studied company understands the importance of big data implementation for their retail industry. From the development and introduction of a promotion management system, to the integration of aggregated store intelligence, the big data analysis proved to be an excellent reference for decision-making. Such big data analytics have not only improved the accuracy of the store merchandising, but also greatly reduced the labor cost. Finally, it reduces the workload of operation units and improves their work efficiency.
    Appears in Collections:[Executive Master of Information Management] Electronic Thesis & Dissertation

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