With the development of society and the progress of information technology, big data has become an indispensable and important tool for all walks of life. Big data is also playing an increasingly important role in petition work. Through big data analysis, multi-model analysis can be carried out on petition data, which can play the role of "weather vane" and "barometer" of political ecology, and provide more accurate and efficient support for petition supervision.
1. The big data display mainly conducts intuitive statistical analysis and display of disciplinary violations, drunk driving, drunk driving, etc.
Big data can intuitively display data such as various disciplinary violations, drunk driving, and drunk driving, and let people understand the number and trend of these behaviors more clearly through charts, curves, etc. At the same time, through the analysis of these data, potential problems can be detected and prevented in time, and more accurate decision-making basis can be provided for relevant departments.
2. Give play to the role of the "intelligence department" and "general staff" for letters and visits.
The work of letters and visits is an important way for the party and the government to understand the people's feelings, reflect the people's will, concentrate the people's wisdom, and cherish the people's strength, and is an important part of social management. In the petition work, big data can play the role of the "intelligence department" and the "general staff", and provide more comprehensive and accurate information and suggestions for relevant departments through the analysis of petition data.
3. Conduct multi-model analysis of petition data.
Through the multi-model analysis of petition data, we can have a more comprehensive understanding of the current situation and problems of petitions, and provide more accurate decision-making basis for relevant departments. At the same time, through the comparison and analysis of petition data in different regions, different industries and different groups, we can find out the rules and trends and provide more scientific guidance for future work.
Fourth, play the role of "weather vane" and "barometer" of political ecology.
Petition data is an important reflection of social public opinion, and through the analysis of petition data, we can understand the trend and trend of social public opinion, and provide more accurate decision-making basis for relevant departments. At the same time, through the analysis of petition data, we can also find out the problems and contradictions, and provide more scientific guidance for future work.
5. Realize visual query and analysis.
Through big data technology, the visual query and analysis of petition data can be realized. Through charts, curves and other forms, people can have a clearer understanding of the current situation and problems of petitions. At the same time, through the comparison and analysis of petition data in different regions, different industries and different groups, we can find the rules and trends.
6. Accurate prediction.
Through the analysis of petition data, we can accurately predict possible problems and conflicts in the future. Through the analysis of historical data and the analysis of future trends, it can provide a more scientific basis for decision-making for relevant departments. At the same time, through the comparison and analysis of petition data in different regions, different industries and different groups, the risk points and weak links can be discovered.
7. Supplement and revise political ecological portraits and clean government archives.
Through big data technology, the political ecological portrait and clean government archives can be supplemented and corrected. Through the analysis of historical data and the analysis of future trends, we can provide more comprehensive and accurate political ecological portraits and clean government archives for relevant departments. At the same time, through the comparison and analysis of petition data in different regions, different industries, and different groups, we can find out the problems and contradictions.
8. Carry out dynamic mapping.
Through big data technology, dynamic mapping can be carried out. Through the analysis of historical data and the future trend, we can find the risk points and weak links, and at the same time can provide more comprehensive and accurate political ecological portraits and clean government archives for relevant departments, and at the same time, through the comparison and analysis of petition data in different regions, different industries, and different groups, we can find the problems and contradictions.