1. manufacturing: using industrial big data to improve the 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.
2. 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.
3. Automobile industry: Driverless cars using big data and Internet of Things technology will enter our daily life in the near future.
4. Internet industry: analyze users' behaviors with the help of big data technology, and make product recommendations and targeted advertisements.
5. Catering industry: Use big data to realize online and offline catering and completely change the traditional catering operation mode.
6. 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.
7. 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, rationally design power demand response systems, 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.
10, Biomedicine: Big data can help us realize epidemic prediction, smart medical care and health management, and at the same time help us to interpret DNA and learn more about the mysteries of life.
1 1, in the field of public safety: the government uses big data technology to build a strong national security system, the analysis and application of big data in the field of public safety, the information means of anti-terrorism and various case analysis, and the use of big data to prevent crimes.
12, 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
Seven Typical Big Data Application Cases
1, Messi's real-time pricing mechanism. According to the demand and inventory situation, the company's SAS-based system adjusts the prices of as many as 73 million commodities in real time.
2、Tipp24？ AG's European gaming and forecasting platform. The company uses KXEN software to analyze billions of transactions and customer characteristics, and then carries out dynamic marketing activities for specific users through forecasting models. This measure shortens the construction time of forecasting model by 90%. SAP tried 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. Wal-Mart claims that the application of semantic search technology has improved the online shopping completion rate from 10% to 15%. "For Wal-Mart, it 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 time is long, the food that can be served quickly will be displayed; If the queue time is short, those foods with high 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 a Chicago 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 Twitter data, we found that this customer is a frequent visitor to our store and Twitter. According to the customer's previous order, guess his flight, 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 crime probability according to the earthquake prediction algorithm and the change of crime data, which can be accurate to 500 square feet. In Los Angeles, where the algorithm is applied, the distribution of theft and violent crimes decreased by 33% and 265,438+0% respectively.
7、? Tesco? PLC (Tesco) and operational efficiency. This supermarket chain has collected data of 7 million refrigerators in its data warehouse. Through the analysis of these data, we can carry out more comprehensive monitoring and active maintenance, and reduce the overall energy consumption.