Which of the following traditional enterprises need big data services most?

Big data refers to a collection of data that traditional software tools can't capture, manage and process in an affordable time range.

Some people compare the data to a coal mine with energy. Coal is divided into coking coal, anthracite, fat coal and lean coal by nature, but the mining cost of open-pit coal mine and deep-mountain coal mine is different. Similarly, big data is not "big" but "useful". Value content and mining cost are more important than quantity. For many industries, how to use these large-scale data is the key to win 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 use big data for precise marketing;

2) Medium-and long-tail enterprises that make small and beautiful models can use big data for service transformation;

3) Traditional enterprises that must be transformed under the pressure of the Internet need to keep pace with the times and make full use of the value of big data.