Manufacturing: Using industrial big data to improve manufacturing level, including product fault diagnosis and prediction, process analysis, production process improvement, energy consumption optimization in production process, industrial supply chain analysis and optimization, production planning and scheduling.
Financial industry: Big data plays an important role in three major areas of financial innovation: high-frequency trading, social sentiment analysis and credit risk analysis.
Automobile industry: Driverless cars using big data and Internet of Things technology will come into our daily life in the near future.
Internet industry: Use big data technology to analyze user behavior, recommend products and target advertisements.
Catering industry: use big data to realize online and offline catering, and completely change the traditional catering operation mode.
Telecom industry: use big data technology to analyze the customer's off-line situation, grasp the customer's off-line tendency in time, and introduce customer retention measures.
Energy industry: With the development of smart grid, power companies can grasp the massive information of users' electricity consumption, use big data technology to analyze users' electricity consumption patterns, improve power grid operation, reasonably design power demand response systems, and ensure the safety of power grid operation.
Logistics industry: use big data to optimize logistics network, improve logistics efficiency and reduce logistics costs.
Urban management: using big data to realize intelligent transportation, environmental monitoring, urban planning and intelligent security.
Biomedicine: Big data can help us realize epidemic prediction, smart medical care and health management, and it can also help us interpret DNA and learn more about the mysteries of life.
Public safety: the government uses big data technology to build a strong national security system, big data analysis and application in the field of public safety, information means for anti-terrorism and stability analysis of various cases, and uses big data to prevent crimes.
Personal life: Big data can also be applied to personal life, using the "personal big data" associated with everyone to analyze the trajectory of personal life behavior and provide them with more thoughtful and personalized services.
The value of big data goes far beyond this. The penetration of big data into all walks of life is the core factor to promote social production and life.
Extended data:
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.
References:
Big Data _ Baidu Encyclopedia