Consumer Behavior Prediction in the Big Data Era: a Comparison Analysis

Abstract

Consumer behavior prediction is one of the critical factors that every business organization needs to understand to aware the market structure as well as purchase and sales pattern in a market kind of structure. To address this issue, the only measure can be undertaken is using the big data analytics. In this case, it makes the most preferred and suitable based on analysis of such complex data and can arrive at specific key findings in general. In this paper, different analysis approaches and scenarios will be compared. Based on the analysis, various variables can be used to undertake consumer behavior, i.e., psychological, social, cultural, personal, and economic factors. On this basis, the organizations can undertake. However, one limitation of big data is data manipulation, which makes some of the findings lack the needed objectivity in general. In this case, the analysis has a higher level of applicability and significance in current and future development in market analysis. These results shed light on guiding further exploration focusing on consumer behavior prediction.