Ten Business Application Scenarios of Big Data

Ten Business Application Scenarios of Big Data

In the era of big data, big data will be an important topic in the coming decades. Big data affects everyone and will continue to affect everyone in the foreseeable future. Big data is impacting many major industries, including retail, finance, medical care, etc., and it is also completely changing our lives. Now let's take a look at ten business application scenarios brought by big data to China. In the future, the big data industry will be a trillion-dollar market.

1, smart city

Today, more than half of the world's population lives in cities, and by 2050, this number will increase to 75%. The government needs to manage the city well by some technical means, so that the resources in the city can be well allocated. There will be neither inefficiency and riots caused by uneven distribution of resources nor excessive financial expenditure caused by unnecessary waste of resources. As one of the technologies, big data can effectively help the government to realize the scientific allocation of resources, finely operate cities and build smart cities.

Urban road traffic can be planned by using GPS data and camera data, including the time interval and associated control of road traffic lights, including the planning of straight and left-right turning lanes and the setting of one-way streets. Smart city traffic planning implemented through big data technology can at least improve road transport capacity by about 30% and reduce traffic accident rate. In the United States, the government added traffic lights according to the traffic accident information of a certain section, which reduced the traffic accident rate by more than 50%. Relying on big data to take off and land airport flights will improve the efficiency of flight management, and airlines can use big data to increase attendance and reduce operating costs. Using big data, railways can effectively arrange passenger and freight trains, improve efficiency and reduce costs.

Urban public transport planning, educational resources allocation, medical resources allocation, commercial center construction, real estate planning, industrial planning, urban construction, etc. Big data technology can be used for good planning and dynamic adjustment.

Big data technology can understand the economic development, the development of various industries, consumption expenditure and product sales, scientifically formulate macro policies according to the analysis results, balance the development of various industries, avoid overcapacity, effectively use natural resources and social resources, and improve social production efficiency. Big data technology can also help the government manage expenditure, and transparent and reasonable fiscal expenditure can help improve credibility and supervise fiscal expenditure. Big data and big data technology not only bring efficiency improvement, scientific decision-making and refined management to the government, but more importantly, change the awareness of data governance and scientific management. In the future, big data will help the government to implement efficient and fine management in all aspects, which has great imagination.

2. Financial industry

Big data is widely used in the financial industry. A typical case is that Citibank uses IBM Watson computer to recommend products for wealth management customers, and Bank of America uses customer click data sets to provide customers with special services. The application of big data in China's financial industry started earlier, but they all focused on solving the problem of big data efficiency. Many financial industries have established big data platforms to collect and process transaction data of the financial industry.

In the past, the application of big data in the financial industry mainly focused on analyzing its own financial data, providing dynamic financial statements and focusing on risk management. In terms of realizing the value of big data, it has not gone deep enough, which does not match the trillions of net profits of the financial industry every year. At present, some banks and securities have begun to cooperate with mobile Internet companies to realize the value of big data. Among them, China Merchants Bank, Ping An Group, Industrial Bank, Guosen Securities and Haitong Securities have made many attempts in the precise marketing, customer acquisition and user experience of mobile big data. The effect of big data to realize value is not bad, and big data is helping the financial industry to realize value. The application of big data in the financial industry can be summarized as the following five aspects:

(1) Precision marketing: make recommendations according to customers' consumption habits, geographical location and consumption time.

(2) Risk control: provide credit rating or financing support according to customer consumption and cash flow, and use customer social behavior records to implement credit card anti-fraud.

(3) Decision support: using decision tree technology to manage mortgage loans, and using data analysis reports to implement industry credit risk control.

(4) Efficiency improvement: use the global data of the financial industry to understand the weak points of business operations, and use big data technology to speed up internal data processing.

(5) Product design: use big data computing technology to recommend products for wealth customers, and use customer behavior data to design financial products that meet customer needs.

3. Medical industry

There are a large number of cases, pathological reports, medical plans and drug reports in the medical industry. If these data are sorted out and analyzed, it will be of great help to doctors and patients. In the future, with the help of big data platform, we can collect the basic characteristics, cases and treatment plans of diseases, and establish a database of diseases to help doctors diagnose diseases.

If the gene technology is mature in the future, patients can be classified according to the characteristics of gene sequence, and a patient classification database of medical industry can be established. When a doctor diagnoses a patient, he can refer to the patient's disease characteristics, laboratory reports and inspection reports, and refer to the disease database to help the patient diagnose quickly. When making a treatment plan, doctors can obtain an effective treatment plan with similar genes, age, race and physical condition according to the genetic characteristics of patients, and make a treatment plan suitable for patients to help more people treat in time. At the same time, these data are also conducive to the pharmaceutical industry to develop more effective drugs and medical devices.

The data application in the medical industry has been going on, but the data has not been opened, and it is all isolated data, so there is no way to apply it on a large scale. In the future, these data need to be collected in a unified way and incorporated into a unified big data platform for the benefit of human health. The government is an important driving force to promote this trend, and the future market will exceed several hundred billion yuan.

4. Agriculture and animal husbandry

Agricultural products are difficult to preserve, so it is very important for farmers to plant and breed reasonably. With the help of the consumption power and trend report provided by big data, the government gives reasonable guidance to agriculture and animal husbandry production and produces on demand to avoid overcapacity and unnecessary waste of resources and social wealth. Big data technology can help the government achieve fine management and scientific decision-making of agriculture. Driven by data and combined with drone technology, farmers can collect information on the growth of agricultural products and diseases and insect pests.

There are many risk factors in agricultural production, but these risk factors can be largely eliminated by technical products such as herbicides, fungicides and pesticides. Weather has become a very important determinant affecting agriculture. In the past, the weather forecast can only provide local rainfall, but farmers are more concerned about how much water can stay on their land, which is determined by rainfall and soil quality. Climate established a model by using the data of weather station and the land data opened by the government. They can tell farmers which land can be cultivated, which land needs spraying cultivation today, which land needs fertilization during the growing period and which land needs cultivation five days later. Big data technology can help agriculture create huge commercial value.

5. Retail industry

Well-known big data cases in the retail industry include the story of Wal-Mart's beer and diapers. Target told his father that the girl was pregnant by sending diaper advertisements to young girls.

The retail industry can understand customers' purchasing preferences for related products through customer purchase records, and increase product sales by putting related products together. Such as washing powder, disinfectant, collar cleaner and other chemical products related to laundry are sold together. The products rearranged according to customers' purchase records of related products will increase the product sales of retail enterprises by more than 30%.

The retail industry can also record customers' buying habits, and remind customers to buy some essential daily necessities through accurate advertisements before they run out. Or regular delivery through the online mall, which not only helps customers solve the problem, but also enhances the customer experience.

Tmall and JD.COM, giants in e-commerce industry, have prepared daily necessities for customers according to their buying habits, such as diapers, toilet paper and clothes. As soon as the customer places an order, the goods will be delivered to the customer's door within 24 hours or 30 minutes, which improves the customer experience and leaves the customer with no time for regret.

Using big data technology, the retail industry will increase sales by at least 30% and improve the customer buying experience.

6. Big data technology industry

After entering the mobile Internet, unstructured data and structured data increase exponentially. Now the data produced by human society every two years will exceed the sum of all the data in human history. In 20 15 years, the sum of all data in human society is expected to exceed 5ZB (5ZB), and how to store and process these data will become a big problem.

These big data provide huge business opportunities for the big data technology industry. It is estimated that the business opportunities generated by the collection, storage, processing, clarity and analysis of global big data will exceed $200 billion, including the investment of government and enterprises in big data computing and storage, data mining and processing. In 20 14, the output value of China's big data industry has exceeded 1000 billion RMB. This year's Guiyang Big Data Expo has attracted more than 400 exhibitors, which fully shows that the big data industry has great commercial value in the future.

In the future, China's big data industry will grow geometrically, and within five years, China's big data industry will form a trillion-dollar market. It is not only a market for big data technology products, but also a market for realizing the commercial value of big data. Big data will play an important role in the fields of precision marketing, decision analysis, risk management, product design and operation optimization.

The big data technology industry will solve the problem of big data storage and processing, and big data service companies will use their own data to solve the problem of realizing the value of big data, and the market scale it will bring will exceed 1000 billion yuan. At present, in China, companies that own big data and provide big data value realization services, in addition to the well-known BAT and mobile operators, 360, Xiaomi, JD.COM, Tan Data and Jiufang will become powerful participants in the big data value realization market, and the market is large enough. We expect them to expand the market and help all enterprises realize the value of big data.

7. Logistics industry

The scale of China's logistics industry is about 5 trillion, of which the kilometer logistics market is about 3 trillion. The overall net profit of the logistics industry has dropped from more than 30% in the past to about 20%, and the downward trend is obvious. A great deal of transportation capacity of logistics industry is wasted on empty return, repeated transportation, small-scale transportation and so on. The largest logistics company in China market has a market share of less than 1%. Therefore, it is necessary to integrate resources and improve transportation efficiency.

With the help of big data, the logistics industry can establish a national logistics network, understand the freight demand and capacity of each node, rationally allocate resources, reduce the empty return rate of trucks, reduce the overload rate, reduce repeated route transportation, and reduce the proportion of small pieces of transportation. Through big data technology, we can know the cargo transportation demand of each route in time, establish a logistics port based on geographical location and industrial chain, realize the real-time matching of goods and capacity, and improve the transportation efficiency of the logistics industry. Optimizing the resource allocation of the logistics industry with the help of big data technology can at least increase the revenue of the logistics industry by about 10%, and its market value will be around 500 billion.

8. Real estate industry

The peak of China's real estate development has passed, and the challenges it faces are gradually increasing. The real estate industry is changing from the extensive development mode to the refined operation mode in the past, and real estate enterprises will be cautious in land auction, residential real estate development planning and commercial real estate planning.

With the help of big data, especially mobile big data technology. The real estate industry can learn important information such as the number of permanent residents, the number of floating population, consumption capacity, consumption characteristics, age stage and demographic characteristics. This information will help real estate developers to make scientific planning in commercial real estate development, merchant investment, room type and community size. Using big data technology, the real estate industry will reduce the planning risk before real estate development, set reasonable housing prices, set reasonable development scale and conduct reasonable business planning. Big data technology can reduce the risk of high land price and low actual demand for house purchase. Some real estate companies have applied big data technology to user portraits, land planning, commercial real estate development and other fields, and achieved good results.

9. Manufacturing

In the past, the manufacturing industry faced the pressure of overproduction. Many products, including home appliances, textile products, steel, cement and electrolytic aluminum, are not produced according to the actual needs of the market, resulting in a great waste of resources. Use e-commerce data, mobile internet data and retail data to understand the future market demand of products, rationally plan product production and avoid overproduction.

For example, based on the product data and logistics data searched by users in e-commerce, we can infer the actual demand of home appliances and textile products in the future, and manufacturers will produce according to these data to avoid overproduction. The location information of mobile internet can help to understand the trend of local population in and out and avoid producing too much steel and cement.

Big data technology can also understand customer needs based on social data and purchase data, help manufacturers develop products, design and produce products that meet customer needs.

10, Internet advertising industry

In 20 14, the internet advertising market in China ushered in a development peak, and the market scale is expected to reach about15 billion yuan, an increase of 56.5% compared with 20 13. Digital advertising has been paid more and more attention by advertisers, and the future market scale is growing. In 20 14, the scale of American internet advertising market was close to 50 billion dollars. According to China's population consumption capacity, its market scale will soon reach about 200 billion RMB.

In the past, advertisers mainly relied on good advertising channels and radio advertisements. Advertisers give advertisements to advertising companies, which arrange advertisements. SEM advertising market is the largest, and other advertising methods are mainly page display, mostly broadcast advertising. The disadvantages of broadcasting are large investment, no display for target customers and all customers, low advertising conversion rate and many digital advertising marketing traps.

Big data technology can record customers' behaviors on the Internet, analyze customers' behaviors, label customers and make user portraits. Especially after entering the era of mobile Internet, customers' main access modes have turned to smart phones and platform computers. The data of mobile internet contains personal location information, and its 360-degree user portrait is closer to the real person. 360-degree user portraits can help advertisers conduct precise marketing. Advertising companies can directly put advertisements on users' mobile devices according to the information of users' portraits, and the conversion rate of advertisements can be greatly improved through applications frequently used by users. With the help of precise marketing of big data technology of mobile Internet, the conversion rate of customers has been increased by more than ten times, and the advertising industry programmatic buying is gradually replacing radio advertisements. Big data technology will help advertisers and advertising companies directly deliver advertisements to target users, reduce advertising investment and improve advertising conversion rate.

At present, there are two major problems affecting the development of big data industry, one is the application scenario of big data, and the other is the privacy protection of big data.

Big data companies and enterprises are looking for application scenarios of big data business value. At present, they have made progress in mobile Internet precise marketing and customer acquisition, 360-degree user portrait, real estate development and planning, Internet financial risk management, financial industry supply chain finance, personal credit reporting and so on, and have many classic cases.

However, the privacy protection of big data and the protection of personal information during the application of big data are still stagnant. Everyone is crossing the river by feeling the stones, and they don't know what to do and what not to do. China is legislating to protect the privacy of big data. It is estimated that in the near future, big data service companies and enterprises will understand the specific requirements for privacy protection of big data. Before the laws and regulations on big data privacy protection are clear, we can refer to foreign privacy laws, strictly abide by the international personal privacy protection laws, and fully protect the personal interests of all parties concerned in the process of realizing the value of big data.

Finally, throughout human history, in any field, if data can be obtained for analysis, there will be progress. If we can't get the data and analyze it, we are doomed to fall behind. In the past, our mistakes caused by insufficient data were far better than those caused by not using data at all, so we need to master the weapon of big data and make good use of it to help human society accelerate its evolution and help enterprises realize the value of big data.

The above are the related contents of the top ten business application scenarios of big data shared by Bian Xiao. For more information, you can pay attention to Global Ivy and share more dry goods.