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

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

(2) to do the small and beautiful form of small and medium-sized micro-enterprises can use big data to do the transformation of services;

(3) facing the pressure of the Internet must be transformed under the traditional business needs to keep pace with the times to fully utilize the value of big data.

In this era of rapid development of intelligent hardware, an important problem that plagues the use of developers is how to find that wonderful balance between power, coverage, transmission rate and cost. Enterprise organizations can use relevant data and analytics to help them reduce costs, improve efficiency, develop new products, make better business decisions, and more. For example, by combining big data and high-performance analytics, all of the following business-friendly scenarios are possible:

(1) Timely resolution of the root causes of faults, problems, and defects can potentially save a business billions of dollars annually.

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

(3) Profiling everything SKU, pricing and clearing inventory with the goal of maximizing profit.

(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 profiling and data mining to dodge fraud.

About what is the significance of big data, Aoto has shared with you here. If you have a strong interest in big data engineering, I hope this article will help you. If you still want to know more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.