How to correctly recognize the value and benefits of big data

1, the use of data must bear the responsibility and obligation to protect

China's data circulation and data trading mainly exists the following problems: insufficient activity of data sources, data intermediaries are still in its infancy; multiple sources of data collection technology, especially unstructured data analysis technology lags behind; lack of familiarity with different industries and mastery of the use of data technology in a particular field of talent.

The value of data lies in fusion and mining, and data circulation and trading are conducive to promoting data fusion and mining, and revitalizing data so as to generate benefits. Data *** enjoyment and openness, circulation and trading and data protection and data security pose serious challenges to data technology, and put forward high requirements for the formulation and implementation of the law. For this reason, data use must bear the responsibility and obligation to protect.

2, the digital economy is the revitalization of the real economy of the elite weapon

Digital economy hand in hand with the traditional manufacturing, will promote the traditional industry to the rapid upgrading of digital, networked, intelligent, industrial cloud, digital factories, robotics, etc., as the representative of the "intelligent manufacturing" will promote the level of China's industrial equipment to improve, independent innovation capacity significantly enhanced. The digital economy is also leading the modernization of agriculture. The digital economy is also leading the modernization of agriculture.

Promoting the development of China's digital economy should focus on strengthening the construction of network facilities and consolidating the basic support of the digital economy. For example, it is necessary to continue to implement the network speed reduction, and promote the construction of the national big data center. We need to further promote the integration of "two", improve the level of application of the digital economy, and promote the in-depth application of big data in the whole process of research and development, design, manufacturing, management decision-making, and after-sales service.

Cultivate new data-driven manufacturing models such as personalized customization, crowdsourcing design and collaborative manufacturing. To promote multi-party collaborative innovation, prosperity of the digital economy industrial ecology, support industry alliances, industry associations and other organizations to build public **** service platforms, build multi-party collaboration, mutually beneficial **** win industrial ecology.

3, promote the application of digital transformation

With the industrial economy of the assembly line production is different, the digital economy relies on the cloud network end, to carry out the network of synergistic and customized services, has a strong link, strong platform, strong data, strong intelligence and other development characteristics. Take strong data as an example, through the collection and aggregation, mining and analysis, accurate image to improve cognition and drive decision-making.

To this end, it is necessary to establish the development concept of universal ****creation, the data concept of scientific ****sharing, and the ecological concept of inclusive ****governance; to seize the opportunity of the transformation of the industrial economy to the digital economy to promote the industrial revolution; to focus on the big connectivity, the big platform, the big data, and the big intelligence, and to promote the digital transformation of the country as a whole, as well as the digital application of the industry; and to promote a balanced development of the economy and the society in the era of the digital economy, and to Continuously strengthen digital governance.

4, focusing on the four "combination" to "data strong country"

Leaders and cadres are the main body of action to implement the national big data strategy. In the context of the deployment of the national big data strategy, we should take big data to enhance the national governance capacity as the goal, and take the real needs of leading cadres as the starting point, to help leading cadres put the right situation, use the right method, find a good benchmark, and achieve tangible results, so as to put the big data strategy into practice.

5, focusing on combining government data openness and market-based data innovation.

The big data strategy will become water without a source, and the value of data openness will be nowhere to be seen. We should focus on combining big data with national governance innovation, realizing transparent management of government negative lists, power lists and responsibility lists with the help of big data, and improving the big data supervision and technology anti-corruption system.

To focus on combining big data with the modern industrial system, including industrial big data, emerging industry big data, agricultural and rural big data. We should focus on combining big data with mass entrepreneurship and innovation to cultivate data-intensive industries.

Guangming.com - Showing the value of the times of big data in development and governance