1. data has become an important tradable asset.
The value of data lies in its commercial value, and the commercial value depends on the breadth and depth of vision brought by data and the support for wise decision-making. From this point of view, in the ideal situation of unlimited resources, the more data sources, the greater the breadth and depth, so as to obtain better decision support. Data has undoubtedly become an enterprise asset, and will become an increasingly important asset, and may even enter the balance sheet in the future.
On April 5, 2065438/KLOC-0, Guiyang Big Data Exchange was officially put into operation. The transaction data is based on the underlying data and the results of data cleaning, analysis, modeling and visualization. Electronic trading is the main form of big data trading, and a trading platform is set up by establishing an online trading system for bureau and uncle. It is estimated that by 2020, the daily average data transaction amount of Uncle Bureau Exchange will be 654.38+0 billion, and the number of big data-related member units will increase to 6543.8+00,000.
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). According to the research on the adoption of cloud computing by Oxford Economic Research Institute and SAP, 69% of enterprises expect to invest in cloud computing moderately or heavily in the next three years, which means that their core business functions will migrate to the cloud. 59% of enterprises think that they have used applications and platform systems based on cloud computing to better manage and analyze data, which reflects the increasing importance of data analysis and big data computing within enterprises. Gartner predicts that the total revenue of the global cloud computing service market will exceed $654.38+08 billion in 2065.438+05. 2065438+February 2005, the State Council issued the Opinions on Promoting the Innovation and Development of Cloud Computing and Cultivating the New Format of Information Industry, which mentioned that a series of measures should be taken, such as demonstrating the application of big data based on cloud computing, supporting government agencies and enterprises to innovate the service model of big data, and increasing the procurement of cloud computing services by government departments. Cloud computing has moved from concept to practical application and entered a period of rapid development.
Cloud computing lowers the threshold of using IT resources, creates the foundation for data centralization, and greatly promotes the development of big data industry. The business model of paying on demand and sharing resources in cloud computing greatly improves the efficiency of IT infrastructure. IaaS operators continue to cut prices, which greatly meets the needs of small and medium-sized enterprises for technical infrastructure. In the future, enterprises will no longer need to buy servers, but directly buy terminals and transport them to data centers, thus forming a server cluster industrial chain to meet the needs of big data storage and mining. With the continuous improvement of cloud computing center infrastructure, large-scale data centers and PaaS operating platforms are becoming more and more mature, which creates conditions for the large-scale launch of SaaS application business market. The large-scale use of SaaS applications reduces the cost of users using software, promotes the improvement of enterprise informatization level, and further promotes data centralization.
The combination of cloud processing and mobile internet industry will produce countless cross-business and personalized applications. The wide application of social networks has accelerated the speed and scope of information dissemination and promoted the endogenous growth of data. The massive storage and computing power required by the Internet of Things makes cheap and high-performance cloud computing applications a natural choice for all users. It can be said that the vigorous development of cloud computing has greatly promoted the development of mobile Internet, social network and Internet of Things, enabling more data to be collected in the cloud, providing a data foundation for big data applications; At the same time, the high performance and low-cost computing power of cloud computing provides an excellent computing platform for big data analysis, which greatly promotes the application of big data in various industries. Therefore, the core support behind the explosive growth of data is the vigorous development of cloud computing industry.
3. The application field of big data continues to expand.
Big data practice contains multiple dimensions, divided by industry, including financial big data, medical big data, transportation big data, operator big data, internet big data, logistics big data and so on. Each industry has different stages of big data development according to the perfection of its IT system and Internet. According to the classification of data objects, including Internet big data, government big data, enterprise big data and personal big data, at present, Internet big data is a subdivision that has been effectively utilized, and the application of government, enterprises and individuals has just begun, which is an important development direction of big data application under the background of "internet plus".
Internet big data:? The data on the Internet is diverse and rapidly accumulated, including user behavior data, user consumption data, user social data, user geographic location data and so on. Internet companies are pioneers in the field of big data, and relying on their own data advantages, Internet companies have already begun to use big data technology to try user behavior analysis, precision marketing, product optimization, credit record analysis and other purposes.
Alibaba is a model of big data application for Internet companies. Taobao, a subsidiary of Alibaba, first developed Taobao data in 2005, and set up a special big data team six months later, and successively developed data products such as self-use infinite needle and 360 category, as well as data Rubik's Cube, Gold Strategy, taobao index and Jushi Tower for sellers, so as to provide value-added services for sellers and explore profit models. Since then, Alibaba's big data system has become increasingly mature, establishing three business cores: platform, finance and data, which complement each other. The current Alibaba financial empire is a hidden giant based on its e-commerce platform+big data. For example, relying on the accumulation of e-commerce data, Ali launched Ali Small Loan and Ant Credit. Its essence is to build a credit information system through big data technology, which has laid a sufficient foundation for the further development of the financial business of the entire Ali system.
Government Big Data: The government is one of the departments with the richest data resources. A large number of high-quality data resources are concentrated in the hands of the government, and various government departments hold the original data that constitute the social foundation, such as financial data, traffic data, medical data, tourism data, power data, housing data, customs data, illegal and criminal data, education data, environmental protection data and so on. At present, there are several problems in government data: first, the data accumulation is static and there is no dynamic update, which leads to some data being too old; Second, the phenomenon of data islands is serious, and data is not open for sharing. If these data can be effectively managed and analyzed, its commercial value and social value are immeasurable.
The government has increased the construction of smart cities, and data value mining is just the right time. ? At present, the government has realized the importance of data. Since 20 12, the government has continuously increased the construction of smart cities, including smart transportation, smart environmental protection, smart education, smart community, smart grid and other sub-sectors related to cities. In March of 20 14, the State Council issued the National New Urbanization Plan (20 14-2020), which explicitly requested to promote the construction of smart cities, make overall use of material resources, information resources and intellectual resources in urban development, and promote the innovative application of new generation information technologies such as Internet of Things, cloud computing and big data. 2065438+April 2005, the Ministry of Housing and Urban-Rural Development announced the third batch of pilot cities of smart cities. Together with the first two batches, there are 297 pilot cities of smart cities in China. The construction of smart city will improve the informatization level of each subdivision of the city, build a unified data platform and break the phenomenon of information island; At the same time, some local governments began to explore the PPP(Public-Private-Partnership) model, gradually opening up some data, allowing social organizations to participate in the operation and tap the value of data.
Taking intelligent transportation as an example, through information construction, the road information management system, traffic signal system, public transportation system, taxi system, electronic toll collection system and parking lot system are connected to realize data sharing. For government departments, real-time traffic information can be provided for travelers and traffic control departments through real-time mining, which can effectively alleviate traffic congestion, quickly respond to emergencies, provide scientific decision-making basis for the benign operation of urban traffic, and improve people's livelihood experience; For participating enterprises, they can provide value-added services in parking lots, citizens' travel and other fields and explore new business models.
Enterprise Big Data: In the era of "internet plus", the internetization of enterprises will change from the traditional internetization of communication and sales to the internetization of supply chain and business logic. Great changes have taken place in the operation mode, and enterprises can establish close ties with suppliers, service providers, distributors, customers and even end users through information technology. If the value of the Internet in the past is mainly reflected in the integration with channels and marketing, then this change will be the deep integration of the Internet and traditional industries in all key links of the value chain.
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, so as to clearly grasp the raw material procurement volume, order completion rate, inventory and product distribution, optimize the supply chain process and reduce unnecessary losses. On the other hand, for the production process, enterprise production equipment can realize the interconnection between machines through sensors and information systems, thus using big data technology to obtain data, store, analyze and visualize, and finally get "intelligent information" for decision makers to use, mediate the production process and improve efficiency. In the future, when information technology develops to a certain stage, the production process of enterprises can even be customized according to the needs of consumers to realize flexible production.
Sports big data:? For example, from the data of 22,904 official matches since the 20 10 World Cup provided by OPTA( Opta Sports is a sports data provider headquartered in London, England), by studying all football-related data of Messi and other 16574 football players, Messi's two personalities are accurately found: 1. Compared with the figures of other Barcelona teammates, Messi's figures on defensive behavior are quite few, and other aspects can also reflect the shortcomings such as "he doesn't fight for high balls at close range". 2. Compared with Messi's performance index of 0.262 in Barcelona, it is only 0. 199 in Argentina national team, which reflects the difference of Messi's role in the two teams.
Personal Big Data: Personal information is often in the hands of third parties, such as information saved by individual users on the Internet and registered with government departments. This information is actually the basis for Internet, government and enterprises to analyze users' behaviors. In addition, with the rise of new things such as wearable devices, the collection methods of personal information are more and more diversified, and data accumulation is constantly improving. For example, physical data, health data, geographic information, sports data, social relationship data, diet data, etc. It can be collected by sensing technology such as wearable devices or implanted chips. The application scenario that can be imagined in the future is that individual users can authorize personal data to a third party to achieve specific purposes. For example, patients with hypertension can authorize personal blood pressure data, body function data, diet data and so on. Monitor and use these data for health management institutions, and then make effective health maintenance plans for users.
The above is what Bian Xiao shared about the continuous expansion of big data applications. For more information, you can pay attention to Global Ivy and share more dry goods.