The three dimensions of big data thinking_Data Analyst Exam

We are talking about big data, we say that big data should be transformed from the tool to the thinking, so what kind of thinking is big data thinking, the following we will say that the three important dimensions of big data thinking.

First, descriptive thinking

That is, some of the structured data or unstructured data into an objective standard, in the process of big data thinking, involves a lot of human factors, which can also be analyzed by data analysis, to give an example is the study of consumer behavior, consumer behavior can be quantitative, it can be indeterminate, descriptive thinking Consumer behavior can be quantitative or non-quantitative, and descriptive thinking should include all aspects of consumer behavior. Here is an example of shopping malls will be connected to the LAN customers continue to carry out data collection, to understand the customer's consumption and distribution of the situation, consumers can realize the shopping, dining, leisure, entertainment one-stop service, and also to a large extent to enhance the user's experience. In some large scenic spots or amusement parks, big data can help scenic spots for better visitor management.

Second, correlation thinking

It is the study of the correlation between the data, for the study of consumer behavior or user behavior, these behaviors to a certain extent, small and large and other different data are intrinsically linked to the results of the big data analysis can be better established data prediction model, can be used to predict the consumer's preferences and behaviors, the correlation between the correlation between the data and the study of consumer behavior or user behavior, the study of the correlation between the data and the correlation between the data and the correlation between the data and the data. Correlation of research and have can also better support predictive thinking, for example, in the modern logistics industry, can be based on the consumer's purchasing behavior or purchasing habits, routes and evaluations to predict the next purchase behavior, and now will be some of the goods for the warehouse storage, in the consumer network after the order, can be the first time on the delivery of the place, greatly enhancing the user experience. As well as an important product recommendation function of the e-commerce, but also with the relevance of big data thinking is inseparable, we are browsing the page or shopping is completed after the completion of the recommendation function will often be similar, although it is not 100% will buy, but the recommendation is still effective.

Third, strategy thinking

After the big data continue to predict as well as analyze, the enterprise can according to the results of the big data analysis of the marketing strategy adjustment, which is the main purpose of big data marketing, from the description to the prediction, and finally to the strategy, which is also a complete process of big data thinking.

The above is what I shared with you about the three dimensions of big data thinking, more information can be concerned about the Global Green Ivy to share more dry goods