What is the employment prospect of big data?

The employment prospects of big data are still very good.

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) Small and beautiful SMEs 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.

However, the great significance of "big data" in economic development does not mean that it can replace all rational thinking on social issues, and the logic of scientific development cannot be lost in massive data.

Ludwig von mises, a famous economist, once warned: "As far as today is concerned, many people are so busy accumulating useless information that they lose their understanding of the special economic significance of explaining and solving problems." This really requires vigilance.

In this era of rapid development of intelligent hardware, an important problem that puzzles application developers is how to find that delicate balance among power consumption, coverage, transmission rate and cost.

Enterprises can use relevant data and analysis to help them reduce costs, improve efficiency, develop new products, make more informed business decisions and so on. For example, by combining big data with high-performance analysis, the following situations may be beneficial to the enterprise:

(1) Analyzing the root causes of faults, problems and defects in time may save enterprises billions of dollars every year.

(2) Plan real-time traffic routes for thousands of express vehicles to avoid congestion.

(3) Analyze all SKUs and make pricing and clearance with the goal of maximizing profits.

(4) Push the preferential information that the customer may be interested in according to his buying habits.

(5) Quickly identify gold medal customers from a large number of customers.

(6) Using clickstream analysis and data mining to avoid fraud.