大数据
数据科学
消费者行为
采购
社交媒体分析
分析
社会化媒体
移动支付
领域(数学)
计算机科学
数据分析
透视图(图形)
付款
互联网隐私
万维网
业务
营销
数据挖掘
数学
人工智能
纯数学
标识
DOI:10.54254/2754-1169/64/20231548
摘要
Recently, along with the continuous progress of science and technology, big data analytics has started to be applied in all works of life. From the perspective of consumer behavior studies, big data analytics is a tool that can effectively predict future consumer behavior. Consumer behavior studies is a discipline that focuses on understanding the behavior and motivations of consumers during the process of purchasing products or services. In the past, researchers mainly relied on traditional research methods such as questionnaire surveys and field observations to understand consumer behavior and needs. When the Internet era arrives, the amount of data generated by consumers has exploded, providing vast opportunities for the application of big data analytics. This article provides a brief overview of the application of big data analytics in analyzing consumer behavior in social media and mobile payment, and briefly reveals the conclusions drawn from these analyses. It aims to provide a small contribution to further understanding the application of big data analytics in the field of consumer behavior studies.
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