Three steps of big data marketing

1. Data layer: collect and process data.

The traditional data collection process is generally limited, conscious and structured, such as questionnaire survey. The data you can collect must be what you can imagine. The data structure is good. The general database Mysql or even Excel can meet the data processing flow.

2. Business layer: modeling and analyzing data.

The data analysis models used, such as basic statistics, machine learning, data mining classification, clustering, association, prediction and other algorithms, are not much different between traditional data and big data. For example, banks, communication operators and retailers have used consumer attribute and behavior data to identify risks and payment possibilities. However, due to the huge expansion of data, the algorithm has also gained great room for optimization and improvement.

3. Application layer: Interpreting data

The most important thing in data-oriented marketing is interpretation.

Traditionally, after defining the marketing problem, we collect the corresponding data, and then analyze the data according to the established modeling or analysis framework, verify the hypothesis and interpret it. The space for explanation is limited.

And big data provides a possibility, which can be based on marketing problems, closed mining corresponding data for verification, or open exploration, and draw some conclusions that may be completely different from common sense or empirical judgment. Explanatory points become very rich.

end

Experience is for reference only. If you need to solve specific problems (especially in the fields of law and medicine), I suggest you consult professionals in related fields in detail.

Source: Baidu Experience