The application of big data is constantly broadening

1, data has become an important asset that can be traded

The value of data lies in the ability to generate business value, and how much business value is generated depends on the breadth and depth of the vision that the data brings, as well as the degree of support for informed decision-making. From this perspective, ideally with unlimited resources, the more data sources there are, the greater the breadth and depth of vision, and thus the better the decision support. Data, without a doubt, has become a business asset, and will become increasingly important, perhaps even entering the balance sheet in the future.

April 15, 2015, China's Guiyang Big Data Exchange officially operated, its trading data is based on the underlying data, through the data cleaning, analysis, modeling, visualization of the results of the Big Data Exchange in the spirit of electronic trading as the main form, through the establishment of a big uncle Bureau of the online trading system, to build a trading platform. It is expected that by 2020, the Uncle's Bureau Exchange will form a daily average of 10 billion dollars of data transaction amount, the development of 10,000 member units related to big data.

2. Cloud computing is a booster for the development of big data industry

The cloud computing industry has entered a period of rapid development. Cloud computing includes three levels of services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The Cloud Grow Up, a study on cloud adoption from Oxford Economics and SAP, suggests that 69% of organizations expect to invest moderately or heavily in the cloud over the next three years, meaning that their core business functions will migrate to the cloud. 59% of organizations believe they have better managed and analyzed data using cloud-based applications and platform systems, reflecting the growing importance of enterprise-wide data analytics and big data computing. Gartner forecasts the global cloud computing services market to exceed $180 billion in total revenue in 2015. In February 2015, the State Council issued the Opinions on Promoting the Innovative Development of Cloud Computing and Cultivating New Business Modes in the Information Industry, which mentions a series of measures such as carrying out big data application demonstrations based on cloud computing, supporting governmental organizations and enterprises to innovate big data service modes, and increasing the efforts of governmental departments in purchasing cloud computing services. Cloud computing has moved from concept to practical application, has entered a period of rapid development.

Cloud computing lowers the threshold for using IT resources, creates a foundation for data centralization, and greatly promotes the development of the big data industry. Cloud computing pay-as-you-go and resource **** enjoy the business model, greatly improving the efficiency of the use of IT infrastructure; IaaS operators continue to reduce prices, and greatly meet the needs of small and medium-sized enterprises for technical infrastructure. In the future, enterprises will no longer need to buy servers, but will directly buy terminals and transport them to the data center, thus forming a server cluster industry chain and meeting the demand for big data storage and mining. The continuous improvement of the infrastructure of cloud computing centers makes large-scale data centers and PaaS operation platforms mature, and creates conditions for the large-scale launch of the SaaS application business market. The large-scale use of SaaS applications reduces the cost of software for users, promotes the improvement of enterprise informatization, and further promotes the centralization of data.

The combination of cloud processing and the mobile Internet industry will generate countless cross-services and personalized applications. The widespread use of social networks accelerates the speed and scope of information dissemination and promotes the endogenous growth of data. The massive storage and computing power required by the Internet of Things makes cheap, high-performance cloud computing application solutions the natural choice for all users. It can be said that the booming development of cloud computing has greatly promoted the development of mobile Internet, social networking and the Internet of Things, which has led to more data being collected in the cloud, providing a data base for big data applications; at the same time, the high-performance, low-cost computing capabilities of cloud computing provide an excellent computing platform for big data analysis, greatly promoting the application of big data in various industries. Therefore, the core support behind the explosive growth of data is the booming development of the cloud computing industry.

3. The application of big data is constantly broadening

Big data practices include multiple dimensions, including financial big data, medical big data, transportation big data, operator big data, Internet big data, logistics big data, etc., according to the industry, each industry according to its IT system and the perfect degree of Internet, the development of its big data at different stages. According to the division of data objects, including Internet big data, government big data, enterprise big data, personal big data, at present, the Internet big data is the segmentation has begun to be effectively utilized, while the government, enterprise and personal big data applications have just begun, is the "Internet +" background of the important direction of development of big data applications.

Internet big data:? The data on the Internet is diverse and rapidly accumulating, including user behavior data, user consumption data, user social data, user geographic location data, etc. Internet companies are the pioneers in the field of big data, various Internet companies relying on their own data advantages, have long begun to use big data technology to try to analyze the user's behavior, precision marketing, product optimization, credit history analysis and other purposes.

Alibaba is a model for the application of big data among Internet companies. Alibaba's Taobao first developed "Amoy Data" in 2005 and set up a specialized big data team half a year later, which successively developed its own "Infinite Needle", "Category 360", and "Sellers 360", as well as the "Sellers 360" for sellers. ", as well as for sellers "Data Magic", "Golden Policy", "Taobao Index", "Polystone Tower "Alibaba's big data system has been a key part of the company's strategy to provide sellers with value-added services and explore profit models. Since then, Alibaba's big data system has become increasingly mature, establishing the three business cores of platform, finance and data, which complement each other, and the current Alibaba financial empire is a hidden giant built on its e-commerce platform + big data. For example, Ali relying on the accumulation of e-commerce data to launch the Ali micro-credit and ant credit, the essence of the big data technology to build a credit system for the further expansion of the financial business of the entire Ali system to lay a sufficient foundation.

Government big data:? The government is one of the richest sectors of data resources, a large number of high-quality data resources are concentrated in the hands of the government, each government department holds the original data that form the basis of society, such as financial data, transportation data, medical data, tourism data, electricity data, housing data, customs data, crime data, education data, environmental protection data and so on. At present, there are several problems with government data: first, the accumulation of data is static and not dynamically updated, resulting in some data being too old; second, the phenomenon of data silos is serious, and there is no openness and **** enjoyment of data. If these data can be effectively managed and analyzed, its commercial and social value is immeasurable.

The government is increasing the construction of smart cities, and it is the right time to mine the value of data. At present, the government has realized the importance of data, since 2012, the government has been increasing in the construction of smart cities, including smart transportation, smart environmental protection, smart education, smart community, smart grid and other city-related segments. In March 2014, the State Council issued the National New Urbanization Plan (2014-2020), which explicitly calls for promoting the construction of smart cities, integrating the use of material, information and intellectual resources for urban development, and promoting the innovative application of new-generation information technologies such as the Internet of Things, cloud computing and big data. In April 2015, the Ministry of Housing and Construction announced the third batch of smart city pilot cities, plus the first two batches, China's smart city pilot has reached 297. The construction of smart cities will improve the level of informatization in various segments of the city, build a unified data platform, and break the phenomenon of information silos; at the same time, some local governments have begun to explore the use of PPP (Public-Private-Partnership) public-private partnership model, gradually opening up part of the data, so that the social institutions to participate in the operation, and tap the value of the data.

Taking intelligent transportation as an example, through the construction of information technology to connect road information management system, traffic signal system, public **** car system, cab system, electronic toll collection system, parking system, etc., to realize the data **** enjoyment, for the government departments, through real-time mining to provide real-time traffic information for the travelers and the traffic supervision department, effectively alleviate the traffic congestion, rapid response to emergencies, for the sound operation of urban transportation. For government departments, real-time mining provides real-time traffic information for travelers and traffic regulators, effectively relieves traffic congestion, responds quickly to emergencies, and provides a scientific basis for decision-making for the healthy operation of urban transportation and improves people's experience.

Enterprise Big Data: In the "Internet+" era, the Internetization of enterprises will move from the traditional Internetization of communication and Internetization of sales to the Internetization of supply chain and Internetization of business logic, and the mode of operation has begun to undergo great changes, and the enterprises and their suppliers, service providers, channels, customers and even end-users can establish close relationships through information technology. End users can establish close contact through information technology. If the value of the Internet in the past is mainly reflected in the integration of channels and marketing, then this change will be the Internet and traditional industries in the value chain in the depth of the integration of the key links.

On the one hand, for the supply chain, big data can be directly applied to product design, raw material procurement, product manufacturing, inventory, logistics, distribution and other supply chain links, clearly grasp the raw material procurement, order fulfillment, inventory and product distribution, optimize the supply chain process, reduce unnecessary losses. On the other hand, for the production process, enterprise production equipment can be realized through sensors and information systems, such as machine-to-machine interconnection, and then access to data, the use of big data technology for storage, analysis and visualization, and ultimately get the "intelligent information" for decision makers to use, mediate the production process to improve efficiency. In the future, when the development of information technology to a certain stage, the production process can even be personalized according to consumer demand, to achieve flexible production.

Sports big data:? For example, sports data analysts studied all the soccer-related data of Lionel Messi and 16,574 other soccer players from 22,904 official matches since the 2010 World Cup provided by OPTA (Opta Sports is a London-based sports data provider), and accurately found two characteristics of Messi: 1. Compared with the numbers of other Barcelona teammates, the numbers of Lionel Messi's defensive behavior are quite high. 1, Messi's numbers on defensive behavior are quite low compared to those of his Barcelona teammates, and other aspects of the game reflect shortcomings such as "he doesn't fight for high balls at even odds"; 2, Messi's performance index is only 0.199 in the Argentinean national team compared to 0.262 in Barcelona, reflecting the difference in the roles Messi plays in the two teams.

Personal big data: Personal information is often stored in the hands of third parties, such as the information that individual users leave on the Internet and register with government agencies, which is actually the basis for analyzing user behavior on the Internet, by governments and by companies. In addition, with the rise of new things such as wearable devices, the collection of personal information is becoming more and more diversified, and the accumulation of data is also improving, for example, body data, health data, geographic location information, exercise data, social relationship data, diet data, etc., can be collected through wearable devices or implanted microchips and other sensing technologies. In the future, it is conceivable that individual users can authorize their personal data to third-party organizations for specific purposes. For example, a hypertensive patient can authorize his/her blood pressure data, body function data, dietary data, etc. to a health management organization, which will then monitor and use the data to develop an effective health maintenance program for the user.

The above is what I have shared with you about the application of big data in the broadening of the relevant content, more information can be concerned about the Global Green Ivy to share more dry goods