Big data has been applied to various industries, including finance, automobiles, catering, telecommunications, energy, entertainment and so on.

1. manufacturing industry: using industrial big data to improve the level of manufacturing industry, including product fault diagnosis and prediction, analysis of process flow, improvement of production process, optimization of energy consumption in production process, analysis and optimization of industrial supply chain, and production planning and scheduling.

2. Financial industry: Big data plays an important role in three financial innovation fields: high-frequency trading, social sentiment analysis and credit risk analysis.

3. Automobile industry: Driverless cars using big data and Internet of Things technology will come into our daily life in the near future.

4. Internet industry: analyze user behavior, recommend products and put targeted advertisements with the help of big data technology.

5. Catering industry: Using big data to realize catering online to offline and completely change the traditional catering operation mode.

6. Telecom industry: use big data technology to analyze customers' off-network, grasp customers' off-network tendency in time, and introduce customer retention measures.

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

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

9. Urban management: Using big data to realize intelligent transportation, environmental monitoring, urban planning and intelligent security.

11. Biomedicine: Big data can help us realize epidemic prediction, smart medical care and health management, and at the same time, it can also help us interpret DNA and learn more about the mysteries of life.

11. Public security field: the government uses big data technology to build a strong national security system, big data analysis and application in public security field, anti-terrorism and information-based means of maintaining stability and analyzing various cases, and uses big data to prevent crimes.

12. Personal life: Big data can also be applied to personal life. By using "Personal Big Data" associated with everyone, we can analyze the behavior track of personal life 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 materials

Seven typical big data application cases

1. Macy's real-time pricing mechanism. According to the demand and inventory situation, the company's SAS-based system adjusts the price of up to 73 million kinds of goods in real time.

2、Tipp24? AG's betting and forecasting platform for European gambling industry. The company uses KXEN software to analyze billions of transactions and customer characteristics, and then carries out dynamic marketing activities for specific users through predictive models. This measure reduced the construction time of forecasting model by 91%. SAP is trying to buy KXEN.

3. Wal-Mart's search. The retail oligarch has designed the latest search engine Polaris for its website Walmart.com, which uses semantic data for text analysis, machine learning and synonym mining. According to Wal-Mart, the application of semantic search technology has increased the completion rate of online shopping by 11% to 15%. "For Wal-Mart, this means billions of dollars." Laney said.

4. video analysis of fast food industry. The company analyzes the length of the waiting queue through video, and then automatically changes the content displayed in the electronic menu. If the queue is long, the food that can be supplied quickly is displayed; If the queue is short, those foods with higher profits but relatively long preparation time will be displayed.

5. Brand recognition of Morton Steakhouse. Morton started his social show when a customer jokingly ordered a meal from the Chicago-based steak chain via Twitter and sent it to Newark Airport in new york (where he will arrive after a day's work). First of all, by analyzing the Twitter data, it is found that the customer is a frequent visitor to our store and a frequent user of Twitter. According to the customer's previous orders, guess the flight he took, and then send a waiter in a tuxedo to provide dinner for the customer.

6、PredPol? Inc.。 PredPol cooperates with the police in Los Angeles and Santa Cruz and a group of researchers to predict the probability of crime based on the variation of earthquake prediction algorithm and crime data, which can be accurate to 511 square feet. In Los Angeles, where the algorithm is used, the distribution of theft and violent crimes has decreased by 33% and 21%.

7、? Tesco? PLC (Tesco) and operational efficiency. The supermarket chain collected data of 7 million refrigerators in its data warehouse. Through the analysis of these data, more comprehensive monitoring and active maintenance can be carried out to reduce the overall energy consumption.