China's data communication and data transaction mainly have the following problems: data sources are not active enough, and data intermediaries are still in the primary stage; Multi-source data collection technology, especially unstructured data analysis technology lags behind; Lack of talents who are familiar with different industries and master the application of data technology in specific fields.
The value of data lies in fusion and mining. Data flow communication and transaction are conducive to promoting data fusion and mining, invigorating data and generating benefits. The openness, circulation, data protection and data security of data * * * pose a severe challenge to data technology, and put forward high requirements for the formulation and implementation of laws. Therefore, the use of data must bear the responsibility and obligation of protection.
2. The digital economy is an excellent weapon to revitalize the real economy.
The digital economy will join hands with the traditional manufacturing industry to promote the rapid upgrading of traditional industries to digitalization, networking and intelligence. Intelligent manufacturing, represented by industrial cloud, digital factory and robot technology, will greatly enhance China's industrial equipment level and independent innovation capability. The digital economy is also leading the agricultural modernization.
To promote the development of China's digital economy, we should pay attention to strengthening the construction of network facilities and consolidate the basic support of the digital economy. For example, it is necessary to continue to implement network speed-up and fee reduction in depth and promote the construction of national big data centers. It is necessary to further promote the integration of "two industries", improve the application level of digital economy, and promote the deep application of big data in the whole process of R&D, design, manufacturing, management decision-making and after-sales service.
Cultivate new data-driven manufacturing models such as personalized customization, crowdsourcing design and collaborative manufacturing. It is necessary to promote multi-party collaborative innovation, prosper the industrial ecology of the digital economy, support industrial alliances, industry associations and other organizations to build public service platforms, and build a multi-party collaborative and mutually beneficial industrial ecology.
3. Promote the application of digital transformation
Different from the assembly line production of industrial economy, digital economy relies on cloud network for network collaboration and customized service, which has the development characteristics of strong link, strong platform, strong data and strong intelligence. Taking strong data as an example, through collection and aggregation, mining and analysis, and accurate portrait, we can improve cognition and drive decision-making.
Therefore, it is necessary to establish the development concept of inclusive creation, the data concept of scientific enjoyment and the ecological concept of inclusive governance, seize the opportunity of industrial economy transformation to digital economy, and promote the industrial revolution; Focus on big connections, big platforms, big data and big intelligence, and promote the digital transformation of the country as a whole and the digital application of the industry; Promote balanced economic and social development in the digital economy era and continuously strengthen digital governance.
4. Pay attention to four "combinations" and move towards "data power"
Leading cadres are the main body of implementing the national big data strategy. In the context of the national big data strategy deployment, with the goal of improving the national governance capacity by big data and the actual needs of leading cadres as the starting point, we will help leading cadres to find the right situation, use good methods, find the right benchmark, achieve practical results, and implement the big data strategy.
5. Pay attention to the combination of government data opening and market data innovation.
Big data strategy will become passive water, and the value of data openness cannot be revealed. It is necessary to pay attention to the combination of big data and national governance innovation, use big data to achieve transparent management of government negative lists, power lists and responsibility lists, and improve the big data supervision and technical anti-corruption system.
Attention should be paid to combining big data with modern industrial systems, including industrial big data, emerging industry big data, and agricultural and rural big data. We should pay attention to combining big data with mass entrepreneurship and innovation to cultivate data-intensive industries.
Light. Com- Showing the Time Value of Big Data in Development and Governance