Demonstration of Bigdata Analysis Implementation in Predicting Consumer Behavior

Abstract

The rise of personal computers, cell phones, and other smart gadgets has ushered in a new era of enormous data generation, sharing, and use. In the big data age, there has been a significant shift in consumer purchasing behavior due to the high transparency and quick flow of information. Consumers are becoming more logical in their purchasing decisions, paying more attention to the observable advantages that brands offer, and placing greater importance on the individualized services that businesses offer. With this in mind, this article explains some of the functions and analytical techniques of big data analysis in forecasting customer behavior. To be specific, the basic concepts and models of bigdata are introduced. Subsequently, the corresponding applications based on the state-of-art big data analysis techniques are demonstrated. The research of changes in customer behavior will assist businesses in promptly adjusting their marketing plans and winning the first chance in the harsh market rivalry. These results shed light on guiding further exploration of consumer behavior analysis in the new era.