|dc.description.abstract||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.||en_US|