What industries are big data used in and what are the applications?

Big data is used in various industries including finance, automotive, food and beverage, telecommunications, energy, entertainment and other sectors of society have been integrated into the traces of big data.

Manufacturing: the use of industrial big data to improve manufacturing, including product failure diagnosis and prediction, analysis of process flow, improve the production process, optimize the production process energy consumption, industrial supply chain analysis and optimization, production planning and scheduling.

Finance: Big data plays a major role in three major areas of financial innovation: high-frequency trading, social sentiment analysis and credit risk analysis.

Automotive industry: Driverless cars utilizing big data and IoT technologies will come into our daily lives in the near future.

Internet industry: with the help of big data technology to analyze user behavior, product recommendations and targeted advertising.

The catering industry: the use of big data to realize the catering O2O model, completely changing the traditional catering business mode.

Telecommunications industry: the use of big data technology to realize the analysis of customer leaving the network, timely grasp of the tendency of customers to leave the network, the introduction of customer retention measures.

Energy industry: with the development of smart grid, power companies can grasp the massive amount of information on users' electricity consumption, and analyze the users' electricity consumption pattern by using big data technology, which can improve the operation of the power grid, reasonably design the power demand response system, and ensure the safety of power grid operation.

Logistics industry: using big data to optimize the logistics network, improve logistics efficiency and reduce logistics costs.

City management: using big data to realize intelligent transportation, environmental protection monitoring, urban planning and intelligent security.

Biomedicine: Big data can help us realize epidemic prediction, intelligent medical care, health management, and at the same time can help us decipher DNA to learn more about the mysteries of life.

Public **** security field: the government to use big data technology to build a strong national security system, public **** the application of big data analysis in the field of security, counter-terrorism stabilization and all kinds of cases analysis of information technology means, with the help of big data crime prevention.

Personal life: big data can also be applied to personal life, the use of personal big data associated with each person, analysis of personal life behavior trajectory, to provide more thoughtful personalized service.

The value of big data goes far beyond this. The penetration of big data into every industry is the core element that drives social production and life.

Extended Information:

p>The value of big data can be seen in the following aspects:

1) Enterprises that provide products or services to a large number of consumers can use big data to carry out precision marketing

2) Small and medium-sized micro-enterprises that are small and beautiful can use big data to do the transformation of their services

3) Traditional enterprises that are facing the pressure of the Internet and have to be transformed 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 annihilated in the mass of data.

The famous economist Ludwig von Mises once reminded: "Today, there are many people busy in the useless accumulation of information, so that the description and solution of the problem, lost its understanding of the special economic significance." This is indeed something to be wary of.

Reference:

Big Data_Baidu Encyclopedia