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

1, to a large number of consumers to provide products or services to the enterprise can use big data for precision marketing;

2, to do small and beautiful model of small and medium-sized micro-enterprises can make use of big data to do the transformation of the service;

3, faced with the pressure of the Internet The traditional enterprises that must be transformed under the pressure of the Internet need to keep abreast of 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 about social issues, and the logic of scientific development can not be obliterated in the massive amount of data. The famous economist Ludwig von Mises once warned: "Today, many people are so busy with the unproductive accumulation of information that they have lost their understanding of the special economic significance of the explanation and solution of problems." This is indeed something to be wary of.

Expanded:

In this fast-moving era of smart hardware, one of the major problems plaguing app developers is how to find that delicate balance between power, coverage, transmission rate and cost to find that delicate balance. Enterprise organizations can leverage relevant data and analytics to help them reduce costs, improve efficiency, develop new products, make smarter business decisions, and more. For example, by combining big data and high-performance analytics, the following business benefits are possible:

1. Analyzing the root causes of failures, problems, and defects in a timely manner can potentially save an organization billions of dollars annually.

2. Planning real-time traffic routes for thousands of delivery vehicles to avoid congestion.

3. Analyze all SKUs to price and clear inventory with the goal of maximizing profits.

4.Push offers to the customer that he may be interested in based on his buying habits.

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

6, Use clickstream analysis and data mining to avoid fraud.