What can big data do?

There are too many uses

First of all, precise customization.

It is mainly aimed at the supply and demand sides, obtaining the personalized needs of the demand side, helping the supplier to determine the positioning target, and then providing products according to the demand, and ultimately achieving the best match between the supply and demand sides.

Specific application examples can also be summarized into three categories.

The first is personalized products, such as intelligent search engines. Searching for the same content will result in different results for everyone. Or some customized news services, or online games, etc.

The second type is precision marketing. It is now relatively common Internet marketing, Baidu promotion, Taobao web promotion, etc., or information push based on geographical location. When I arrive at a certain place, it will automatically Promote surrounding consumer facilities, etc.

The third type is site selection and positioning, including the location of retail stores or the location of public infrastructure.

These are all based on big data analysis of user needs, and then the supplier provides relatively customized services.

The second direction of application is prediction.

Prediction mainly focuses on the target object, based on some relevant factors and data analysis of its past and future, so as to make early warning or real-time dynamic optimization.

From the specific application, it can be roughly divided into three categories.

The first is decision support, ranging from operational decisions for small enterprises, securities investment decisions, clinical diagnosis and treatment support in the medical industry, and e-government affairs.

The second is risk warning, such as epidemic prediction, disease prediction for daily health management, operation and maintenance of equipment and facilities, public security, and credit risk management in the financial industry, etc.

The third type is real-time optimization, such as intelligent route planning, real-time pricing, etc.