Analysis of Consumer Behavior in Online Shopping Environment

All social behavior can be expressed through the network data, then data has become the same important factors of production just like labor and capital. And people for massive data mining and application, also indicates that a new round of productivity growth. In the future, the assignment of sales expenses, can be under the guidance of large data, to find the target consumer group distribution, and then use to make it become enterprise's customer by a creative form in order to promote sales. This is the significance of this paper to study the consumer behavior in the context of the era of big data. With the acceleration of the globalization of the Internet, and the application of socialization and cloud computing, netizen can be traced and analyzed. The data which provides is massive, can be changed. Everyone in the industry, whether active or passive, are formed by the Internet data stream wrapping toward the era of "big data" in a way. With the era of big data coming, consumers will have more and widespread sources of information, the choices consumers have will be more diversity, on the understanding of the goods will be more thorough, autonomy will be further increased, the traditional consumer behavior will be shocked, the new consumer behavior based on the big data era is gradually formed. Big data is to provide a large amount of data. In the original small data era, people use the basic sampling method, and spread to all the people, its accuracy will be greatly reduced. On the one hand, the massive data provide more consumer behavior record data, on the other hand it is the embodiment of the true and objective behavior and attitude. We can through the interpretation of the massive data, analyse the consumer behavior and attitude, so that the existing record can be more accurate. In the end, we can analyse the real behavior and attitude of consumers through the comprehensive