What concepts should leading cadres pay attention to in big data governance?

The Action Plan for Promoting the Development of Big Data clearly puts forward that "the management mechanism of" speaking with data, making decisions with data, managing with data and innovating with data "should be established to realize scientific decision-making based on data, promote the progress of government management concept and social governance model, accelerate the construction of a government ruled by law, an innovative government, a clean government and a service-oriented government that is compatible with the socialist market economic system and the development of Socialism with Chinese characteristics, and gradually realize the modernization of government governance capacity". The outline points out the development direction for government departments to use big data to improve their governance capacity. When talking about the concept of innovation and development, the just-concluded Fifth Plenary Session of the 18th CPC Central Committee first proposed to implement the national big data strategy, requiring leading cadres at all levels to change the traditional inertia thinking mode in the past and think and solve problems with big data thinking mode.

Generally speaking, we believe that the establishment of big data thinking mode of leading cadres is a gradual process.

We should change from "empiricism" to "dataism" and truly realize the value of data. Aside from the concept of big data, our country's government informatization and e-government system have been implemented for many years, and various government departments have accumulated a lot of data related to the national economy and people's livelihood. The leading cadres of government departments are often dominated by "empiricism" in the decision-making process, and even many leaders don't know what data they have and where to put it. Therefore, leading cadres first need to know the data status of their own departments, what are the main application scenarios of these data at present, what role they have played in improving the management level and service ability of their own departments, and whether they have been shared with other brother departments to play a greater role. In addition, we should have a basic understanding of the value and function of data and consciously improve the ability of data to support decision-making.

Think about altruistic sharing of government data with big data thinking * * * Enjoy openness. At present, the data of many government departments are actually in an information island state. Because the data is not shared with other departments and is not open, the value exploration of the data is very limited. Moreover, the leaders of many government departments regard their own data as the basis of departmental interests, and think that the open output of data means the output of interests, which is especially obvious in departments with strong data capabilities. Leading cadres need to realize that departmental data will become dead data if it does not flow and merge with other external data, but what is really valuable is live data. The externality of data shows that the value of data not only exists in the interior, but also can be maximized only by considering the enjoyment of government data at a higher level and angle.

Many leading cadres, on the grounds of government data security, hold the psychology that more things are better than less things, and hold a refusal or negative attitude towards government data opening. Looking at the data opening process of foreign governments, it basically begins with information opening. In terms of data openness, the principle of "openness is the default and non-openness is the special case" makes data openness an important foundation for building a smart city or a smart government. It needs to be recognized that the government's data opening is actually realizing the goal of modernization of government governance with the help of social forces. Therefore, opening desensitized government data related to people's livelihood to the public and enterprises will promote the development of innovation and entrepreneurship based on big data, and also make data play a greater social and economic value through flow and integration.

In the process of building a service-oriented government, big data can play a key role in improving the government's management efficiency, scientific decision-making ability and public service level. The vision of a service-oriented government is that the government can provide people with interactive, active and effective personalized public services, and big data is the cornerstone of providing smart services, especially in the construction of smart cities. Leading cadres need to sum up the value and role of big data from these goals, and plan and implement big data-related projects in a targeted manner.

McKinsey's research report "Big Data: The Next Frontier of Competition, Innovation and Productivity" points out that big data will create potential economic value of 654.38+050 billion euros to 300 billion euros or more in the public sector of OECD European countries. These economic values are mainly reflected in many aspects, such as reducing government expenditure, enhancing transparency, increasing taxes, improving efficiency and the effectiveness of services. For example, in the field of public management, the German Federal Labor Office provided comprehensive consulting and support services to 65,438+00 regional centers and 65,438+078 employment agencies by using the big data strategy, and made remarkable progress in improving efficiency and saving costs.

At home, Zhejiang provincial government attaches great importance to the role of data in government services. The Zhejiang government service network is similar to the "government supermarket", where people can "visit the yamen" like Taobao, and the provincial, city and county governments can complete the examination and approval, supporting people to use Alipay to pay fees. The platform adopts the computing power of Alibaba Cloud, realizes the direct data connection between provinces, cities and counties, and changes the "human running errands" of administrative examination and approval into "data running errands". More than 3,300 departments in cities and counties in Zhejiang Province are included in the Zhejiang Government Service Network, which provides online services for netizens according to the topics of personal service, legal person service and convenience service. This is also a typical example of our local government using data thinking to improve public service capabilities.

Leading cadres should not be too hasty in the implementation of big data, and need to formulate effective incentive policies to make big data develop healthily and healthily at the industrial level. As a production factor of new economic development, big data will be an important direction of innovation and entrepreneurship in internet plus, and will also drive the upgrading and transformation of traditional industries. There is no doubt about this direction. However, we can see that departments related to the coordinated management of big data have mushroomed, and related industrial parks have also been established at the same time, attracting cloud and big data industry enterprises to settle in with various measures. At this time, leading cadres need to think coldly about big data hotspots, carefully analyze the advantages and disadvantages of developing big data in various places, and formulate policies to promote the healthy and benign development of big data industry according to the development direction of the situation. For example, successful cases of innovation and entrepreneurship in the field of big data and successful cases of transforming traditional industries with big data have been effectively encouraged and promoted.

Big data will push the government towards ecological governance and gather a wider range of social forces to participate in social governance issues. As Gao, vice president of Alibaba and president of Ali Research Institute, said, ecological governance is the future model of government governance, which means that the government's governance model has changed from top to bottom. In the era of big data, individuals and enterprises have also become key players in government governance. Weibo and WeChat enable people to interact with government leaders. Based on the analysis of this social public opinion big data, government leaders can know the feedback of many policies in real time; In addition, government leaders need to join hands with enterprises to explore new models of social governance with a more open mind in the era of big data. For example, Alibaba's security department assists the public security industrial and commercial quality inspection department to use big data technology to extract and analyze data with as many as 16 dimensions and features, and strip fake information from the 10 billion commodity library.

In order to meet the needs of governance in the era of big data, the thinking mode of leading cadres needs to change from top to bottom, and the digital decision-making, management, service and innovation capabilities need to be further improved. Leading cadres at all levels should have a deeper understanding of big data, not just attracting investment from concepts and industries. Only in this way can we really promote the modernization of government governance in China.