data is a collection of data that cannot be captured, managed, and processed in an affordable time frame with conventional software tools.

Some people liken data to a coal mine that holds

energy. Coal is categorized according to its nature as coking coal, anthracite, fat coal, and poor coal, and the cost of excavation is different for open-pit and deep-mountain coal mines. Similarly, big data is not in the "big", but in the "useful". The value content and mining cost are more important than the quantity. For many industries, how to utilize this large-scale data is the key to winning the competition.

The value of big data is reflected in the following aspects:

1)

Enterprises that provide products or services to a large number of consumers can utilize big data to conduct precision marketing;

2)

Middle and long-tailed enterprises that do small and beautiful models can use big data to do service transformation;

3)

Traditional enterprises facing the pressure of the Internet must be traditional enterprises facing the pressure of the Internet must transform the need to keep pace with the times to take full advantage of the value of big data.