Comparison of the State-of-art Big Data Analysis and Conventional Prediction for Consumer Behavior

Abstract

Big data analysis is a reflection of the transformation of ways to receive information via the Internet. It also affects consumer behavior analysis, which varies from conventional consumer behavior models. This paper summarizes the development of consumer behavior models and compares consumer behavior models based on big data analysis with traditional consumer behavior prediction models. The advantages and disadvantages of them are discussed and relevant suggestions for big data analysis are raised. According to the analysis, the application of big data analysis on consumer behavior shows its superiority in efficiency, sample size and supportive database. Additionally, it successfully adapts to the transformation of the era of information. Consumer behavior models in the current society are more associated with big data analysis and consumption ability of residents. It is valuable to give an overview of what big data has brought to consumer behavior study, how consumption ability has increased in the context of big data, so as to stimulate the growth of consumer behavior study.