For the application scenarios of big data, including the application of big data processing and analysis in all walks of life, the core is user demand.
First, medical big data is more efficient in seeing a doctor.
In addition to Internet companies that started to use big data earlier, the medical industry is one of the traditional industries that first developed big data analysis.
Second, biological big data improvement genes
At present, the biological big data technology we are talking about mainly refers to the application of big data technology in gene analysis. Through the big data platform, humans can record and store their own and biological genetic analysis results, and establish a gene database based on big data technology.
Third, financial big data wealth management weapon
The application of big data in the financial industry can be summarized as the following five aspects: precision marketing, risk management and control, decision support, efficiency improvement, product design and so on.
Fourth, retail big data knows consumers best.
The application of big data in the retail industry has two levels. One aspect is that the retail industry can understand customers' consumption preferences and trends, accurately market goods and reduce marketing costs. On the other hand, according to the products purchased by customers, providing customers with other products that may be purchased and expanding sales also belong to the category of precision marketing. In addition, the retail industry can grasp the future consumption trend through big data, which is conducive to the procurement management of hot-selling goods and the handling of out-of-season goods.
Five, e-commerce big data precision marketing magic weapon
E-commerce is the first industry to use big data for precision marketing. In addition to precision marketing, e-commerce can also prepare goods for customers in advance according to their consumption habits, and take convenience stores as transit points to deliver goods to customers within 15 minutes of placing orders, thus enhancing customer experience.
Sixth, quantitative production of big data in agriculture and animal husbandry.
The application of big data in agriculture mainly refers to the production of agricultural and animal husbandry products according to the forecast of future business demand, and reduces the probability of vegetables hurting farmers. At the same time, the analysis of big data will more accurately predict the future weather and climate and help farmers and herdsmen to prevent natural disasters. At the same time, big data will also help farmers decide which varieties to add and which varieties to reduce according to consumers' consumption habits, increase the output value of unit planting area, help sell agricultural products quickly, and complete the withdrawal of funds.
Seventh, traffic big data travels smoothly.
As an important part and one of the important conditions of human behavior, traffic is also the most urgent to perceive big data.
Although digitization has been basically realized now, digitization and digitization are not the same thing at all, but the efficiency of collection, storage and application has been partially improved, and there is not much change in essence. The arrival of the era of big data will inevitably bring great opportunities to solve problems.
Eight, education big data teaches students in accordance with their aptitude
With the development of science and technology, information technology has been widely used in education. Examination, classroom, teacher-student interaction, campus equipment use, home-school relationship ... As long as technology arrives, all links are wrapped in data. In the classroom, data can not only help improve education and teaching, but also be more useful in major educational decisions and educational reforms.
Nine, sports big data champion wizard
Big data can be said to change sports in all directions. For athletes themselves, the data collected by wearable devices can help them better understand their physical condition. Media commentators, through the data provided by big data, better explain the game and analyze the game. Turn data into insights through big data analysis, increase the winning chips for sports competitions, and provide personalized experience for sports fans around the world to watch games anytime and anywhere. Although few professional tennis players are willing to openly admit that they use big data to make game planning and tactics, almost every player will use big data services before and after the game.
X. Environmental Big Data for PM2.5
The influence of meteorology on society involves all aspects. Traditionally, agriculture, forestry, water transport and other departments have relied on meteorology, but now, meteorology has become a resource for social development in the 2 1 century, and supports customized services to meet the needs of users in all walks of life. With the help of big data technology, the accuracy and effectiveness of weather forecast will be greatly improved, and the timeliness of forecast will also be greatly improved. At the same time, for major natural disasters, such as tornadoes, people will more accurately understand their trajectory and degree of harm through the big data computing platform, which will help people improve their ability to cope with natural disasters.
XI。 Safety of cutting-edge food big data
Big data can not only bring commercial value, but also generate social value. With the development of information technology, food supervision is also faced with a large number of various types of massive data, and how to extract effective data from it becomes the key. It can be seen that big data management is a huge challenge. On the one hand, it is necessary to extract data in time to meet the needs of food safety supervision; On the other hand, it is necessary to balance the potential value of data and personal privacy. It is believed that the application of big data management in food supervision can provide a powerful umbrella for food safety.
Twelve, regulation and fiscal expenditure big data to make it orderly.
Using big data technology, the government can understand the economic development, industry development, consumption expenditure and product sales in various regions, scientifically formulate macro policies according to the data analysis results, balance the development of various industries, avoid overcapacity, effectively use natural and social resources, and improve social production efficiency.
Thirteen. Public opinion monitoring Big Data
The country is using big data technology to carry out public opinion monitoring. The collected data can not only understand people's demands and reduce mass incidents, but also be used for crime management.