Big data, that is, the massive amount of various forms of data stored in a variety of storage media, with 5V characteristics, namely: Volume (large volume), Velocity (high speed), Variety (variety), Value (value density), Veracity (authenticity). The "big" of big data lies not only in its "large capacity", but also in its "big value", and has become another important resource in addition to manpower, land, finance and technology.
The construction of a modernized economic system is inseparable from the development and application of big data. To build a digital economy with data as the key element, we should focus on promoting the integrated development of the real economy and the digital economy, so that big data can become an important cornerstone for building a modernized economic system.
Big data is the driving force for cross-border integration and development of enterprises
As a resource, enterprises can use big data to more keenly perceive changes in their surroundings, gain deeper insights into the behaviors and trends of their customers, consumers, and partners, optimize their operations more accurately, and carry out co-innovation with their business partners in a more harmonious way. Big Data is reshaping enterprises, redefining industries, and becoming a driving force for cross-border integration and development.
Taking the "Gonghui Yijia" promoted by the All-China Federation of Trade Unions as an example, it provides high-frequency, high-viscosity services to more than 30 million freight drivers and workers traveling on highways across the country, using new-generation information technologies such as "Internet+", big data, the Internet of Things, and artificial intelligence. It provides high-frequency, high-viscosity and inclusive services for more than 30 million freight drivers traveling on highways across the country.
Trucks running on highways across the country can collect real-time, full-area road and environmental data through vehicle-mounted intelligent terminals, which can accurately analyze the distribution of traffic flow, distribution of cargo flow, and the state of the air environment on each highway across the country, providing a basis for decision-making on driving safety, road management, logistics management, and environmental governance. It can design an insurance program that meets the characteristics of each driver through the driving habits and vital signs data of truck drivers; design a driver's station that is close to the needs of freight drivers with rest, catering, washing, recreation and learning, etc. through the behavioral trajectory data of freight drivers; it can create a new concept of trucks that are intelligent, humanized and with new kinetic energy from wind, light and electricity complementation through the maintenance and updating of the cars by the drivers; and it can also be used for the decision-making of the new concept of trucks around the The supporting services of the means of living and means of production of truck drivers can also be derived from a variety of industry services, including financial services, to lay the foundation for intelligent freight logistics macro management.
With the massive increase of analyzable and usable data, through the mining, desensitization, decryption, analysis, application, and superimposed application of these data, new knowledge can be discovered, new value can be created, and "big knowledge", "big technology", "big service", "big service", "big knowledge", "big technology", "big service", "big service", "big service", "big service", "big service", and "big service". "Big Service" and "Big Development". Data will become an important basic element in the production process, as will the fixed assets and human resources of the enterprise.
Mining the value of submerged data
To make big data truly valuable, it is necessary to study the correlation of data, clustering of data, and the full sample problem. Prediction, built on correlation analytics, is at the heart of big data, and by identifying correlations and monitoring it, the future can be predicted.
Taking the project of "Gonghui Yijia" as an example, all kinds of data of "people, vehicles, goods, roads and trade unions" are generated in every link of highway logistics and more than 8 million trade unions across the country, which is a huge amount of data, with a low density of value, online in real time and heterogeneous in multiple sources. Multi-source heterogeneity. In order to make big data play a role in serving freight drivers and trade union organizations, the first thing to do is to find out the connection with different application scenarios. For example, for emergency rescue, you can find out the main associations according to the type of accident, and quickly associate the data related to rescue, such as personnel information, cargo information, time, location, rescue facilities, medical institutions, and insurance institutions, with the pre-planning model, and implement the rescue program in a timely manner.
Data clustering is a universal, fundamental problem that must be faced to discover value from big data. For example, the above rescue, there are a variety of rescue facilities and a number of medical institutions in the same city, in the data analysis, processing can first be clustered with the rescue agencies, medical institutions, and then according to the type of accident, injury, select the optimal rescue and medical services program, so as to achieve timely and efficient.
Traditional data samples are based on the absolute randomness of sampling, and random samples can only bring us answers to predefined questions. In the era of big data, the full sample of data has become a reality, the full sample of data to bring us perspective on the macro and comprehensive, which will allow us to stand at a higher level of the whole picture of the problem, see the value of the data that was once submerged, to find hidden in the whole of the interesting details, so that we get the possibility to study the data from a different perspective of a more detailed, comprehensive observation, so that the process of analyzing the big data, to become a discovery process and the expansion of the problem domain. The process of analyzing big data becomes a process of discovery and expansion of the problem domain. Based on the huge amount of data acquired in real time from nearly all samples, social resources of great value are continuously accumulated and formed.
Promoting the integration of the real economy and the digital economy
The development of the big data industry is inseparable from the construction of two core systems, namely, the stable, safe and reliable data infrastructure system engineering and the perfect, mature and leading application system engineering.
The key to the development of big data is to have the ability and method of obtaining data, and the data obtained should not only be stored in a timely, complete and accurate manner, but also transmitted to the data demander in a timely, complete and accurate manner. With data, there must also be sufficient computing power, so the basic system engineering includes data collection, aggregation, transmission, storage, computing resources, big data application platform, cloud computing platform, data resource pool, data analysis and mining tools and software, data property rights management, data standards system, data security system and so on.
Currently, decision-making in various industries is changing from "business-driven" to "data-driven". Through the analysis of big data, enterprises can grasp the market dynamics in real time and quickly respond to the development of more accurate and effective marketing strategy, which can help enterprises to provide consumers with more timely and personalized services. In the field of public **** business, the important role of big data in promoting economic development and maintaining social stability has begun to be played. Therefore, the construction of big data application system is the key to the role of big data as an important resource.
Since 2009, Runner Technology has been researching the development trend of data industry, investing in the construction of international first-class high-standard data infrastructure, and becoming the most energetic data industry platform base in Beijing-Tianjin-Hebei. 2016, Runner Technology invested in the construction of Beijing-Tianjin-Hebei Big Data Innovation and Application Center, which was listed as a key project of Beijing-Tianjin-Hebei Big Data Comprehensive Pilot Zone. The application center introduces forward-looking big data technology, gathers representative big data enterprises, aims to build a big data innovation and application center, creates a big data application service platform for the integration of the real economy and the digital economy, and attracts a large number of domestic and foreign top big data talents.
The Beijing-Tianjin-Hebei Big Data Innovation and Application Center will showcase the world's latest big data application technologies, focusing on better solutions to social problems, business marketing issues and scientific and technological issues, and assisting the government in realizing economic regulation and control, urban management, disease prevention and control, disaster early warning, public opinion analysis, crime prevention and so on. Through the means of big data analysis, we can predict the future development trend, provide timely data analysis for government governance and decision-making, change people's thinking and decision-making, realize value creation and trigger new value growth, and promote the healthy, green and benign development of big data industry.
Currently, the application of big data has entered an extensive and rapid development stage, we must adhere to the main line of supply-side structural reform, accelerate the development of the digital economy, promote the integration of the real economy and the digital economy, and promote the Internet, big data, artificial intelligence and the deep integration of the real economy, and continue to do a good job in the deep integration of informatization and industrialization of this big article.