What three kinds of thinking does big data thinking include?

Big data thinking includes: quantitative thinking, relational thinking and experimental thinking.

That is, to provide more descriptive information, the principle is that everything can be measured. Not only objective standards such as sales data and price can form big data, but also customer emotions (such as perception of color and space) can be measured.

Everything can be connected, and different data of consumer behavior are internally related. This can be used to predict consumers' behavior preferences.

Everything can be tried, and the information brought by big data can help to formulate marketing strategies.

After the continuous prediction and analysis of big data, enterprises can adjust their marketing strategies according to the results of big data analysis, which is the main purpose of big data marketing. From description to prediction and finally to strategy, this is also a complete big data thinking process.