Zhang Hancheng: Thinking about the application scenarios of big data in the Ministry of Human Resources and Social Security

Text / Han Cheng

In May 2017 , Minister Yin Weimin of the Ministry of Human Resources and Social Sciences pointed out that it is necessary to make full use of big data to achieve scientific decision-making, precise management, and service-oriented services through the Internet and human society. The statistical data of the society is an important feature of human and social work for service decision-making, research policy, supporting career development, using data to analyze and judge the situation, using data to find problems, using data to reflect work progress, and using data to develop innovations. Today, in the era of global big data, the development of China's new normal economy is facing both challenges and rare opportunities. How to understand big data and use it to lead the development of human and social statistics has become an urgent problem to be solved. On the one hand, good human and social work can ensure our country ’s social stability and economic development. On the other hand, the big data development strategy proposed by the state to build a " smart human society " and use big data to promote the statistical work of human society has great significance and a long way to go.

According to the author's experience and research, it is concluded that the current big data in the human society is mainly two types of application scenarios:

1. Internal business support to provide better data services:

(1) To facilitate the development of plans and policies for human resources and social security undertakings through big data, draft laws and regulations on human resources and social security, formulate departmental regulations, and organize implementation and supervision and inspection. This job is the first job responsibility of the human society. The author believes that only big data predictive analysis can do better.

(2) Through big data, it is conducive to formulating human resource market development plans and human resource flow policies, establishing a unified and standardized human resource market, and promoting the rational flow and effective allocation of human resources.

(3) Through big data analysis, you can be responsible for promoting employment, analyze the situation of students and economic development in various places, and formulate better employment measures for talents. Improve the public employment service system through data analysis, formulate an employment assistance system, improve the vocational qualification system, coordinate the establishment of a vocational training system for urban and rural workers, take the lead in formulating employment policies for college graduates, and formulate high-skilled talents and rural practical personnel training in conjunction with relevant departments And incentive policies.

(4) The analysis of big data is conducive to the overall establishment of a social security system covering urban and rural areas. Overall planning and formulation of urban and rural social insurance and supplementary insurance policies and standards, organization and formulation of a unified national social insurance relationship renewal method and national pension overall planning method, overall planning and formulation of basic pension insurance policies for government agencies and institutions and gradually raise the level of fund coordination. Work with relevant departments to formulate the management and supervision system for social insurance and its supplementary insurance funds, prepare the draft of the national social insurance fund budget, and participate in the formulation of the national social security fund investment policy.

(5) Through the analysis of big data, it is responsible for forecasting, early warning and information guidance of employment, unemployment, and social insurance funds, formulating response plans, implementing prevention, adjustment, and control to maintain a stable employment situation and balance the overall revenue and expenditure of social insurance funds.

(6) Through the analysis of big data, it is conducive to working with relevant departments to formulate policies on the distribution of wages and wages of personnel in institutions and institutions, establish a mechanism for the normal increase of wages and payment guarantees for personnel in institutions, enterprises and institutions, and formulate policies on the welfare and retirement of personnel in institutions, enterprises and institutions .

(7) Through the analysis of big data, it is helpful to guide the reform of the institution ’s personnel system in conjunction with relevant departments, formulate management policies for institutions ’personnel and office workers, participate in talent management, formulate professional and technical personnel management and continuing education policies, and take the lead Deepen the job title system reform, improve the post-doctorate management system, be responsible for the selection and cultivation of high-level professional and technical personnel, and formulate policies to attract foreign experts and overseas students to work (or return to China) or settle in China. For example, through the human society electronic file bag, data label, unit portrait, personnel portrait, inclusive service, precision service, personalized service.

(8) Through big data analysis, work with relevant departments to formulate resettlement policies and resettlement plans for military transfer cadres, take charge of the education and training of military transfer cadres, organize and formulate policies for the relief and stability of military transfer cadres of some enterprises, and be responsible for the management and service of independent transfer of military transfer cadres .

(9) Through the analysis of the data, it is responsible for the comprehensive management of civil servants in the administrative organs, formulating relevant personnel deployment policies and special personnel placement policies, and working with relevant departments to formulate national honor systems and government reward systems.

(10) Through big data analysis, work with relevant departments to formulate comprehensive policies and plans for the work of migrant workers, promote the implementation of policies related to migrant workers, coordinate and solve key and difficult issues, and safeguard the legitimate rights and interests of migrant workers.

(11) Through the analysis of big data, it is conducive to the overall planning of labor and personnel dispute adjustment and arbitration systems and labor relationship policies, the improvement of labor relationship coordination mechanisms, and the formulation of policies to eliminate the illegal use of child labor and special labor protection policies for female and minor workers. Organize the implementation of labor inspection, coordinate labor rights protection, and investigate and deal with major cases according to law.

2. The release of the value of data from the human society data to the external data:

1 ) For example, to provide data support for targeted poverty alleviation, based on the personal information of the social security and medical insurance, a user portrait can be formed, combined with data from the Internet, to form a number that can help the poor.

2 ) For example, you can gain insight into the analysis and prediction of unemployment trends and the analysis and prediction of the supply of talents. The unemployment rate indicator can be used to judge the employment situation of the entire working population in a certain period of time. Generally speaking, the decline in the unemployment rate represents the overall healthy economic development, which is conducive to currency appreciation; the rise in the unemployment rate represents the slowdown of economic development and is not conducive to currency appreciation. If the unemployment rate is matched with the inflation index of the same period, it can be seen whether the economic development was overheated at that time, whether it will constitute pressure to raise interest rates, or whether it is necessary to reduce interest rates to stimulate economic development. Therefore, the unemployment rate is generally counted in countries around the world. Therefore, this has certain help and guidance for the country to customize economic policies.

3) For example, it can analyze the impact of delayed retirement on social security funds and adjust the actuarial analysis of medical insurance payment models; formulate plans in advance and drill the prediction results, and can cooperate extensively through data sharing and integration services to support Internet e-government and let ordinary people do things. Run at most ", it is best not to run.

4) For example: personalized training and evaluation, and accurately push vocational training policies and training class information to the vulnerable people in the workplace. Data analysis can be used to help staff perform intelligent qualification certification, intelligent labor arbitration, and policy consultation.

5) Such as: credit evaluation of life agency, contributing data power to Credit China, and providing data support for Credit China.

6) For example: precise job introduction: accurate job information and recruitment positions with high matching degree are accurately pushed to the classified job seekers and individuals, and the social insurance premiums for job-seeking talents who meet the employment conditions are accurately pushed to the classified employers and even individual units. Payment: Push the reminder information to people with liquidity labels and under 60 years of age; push the reminder information and business entrance to the people with arrears labels.

7) Precise insurance information service: push the policies, procedures and payment information of newborn babies participating in residents' medical insurance to parents; push the insurance policies, procedure information and business entrance to newly-employed people and new registered companies

8) We can also provide accurate guarantee services for small guarantee loans for guarantee companies: push the “small loan” policy and application process information to people and individuals with entrepreneurial needs.

All in all, the social security big data application scenario realizes internal business support and external data value release. It helps the Ministry of Human Resources and Social Affairs to implement the responsibilities better. It makes macro planning for the talents needed for industrial adjustment and provides national There are a number of suggestions for governance. At the micro level, the big data construction of the Ministry of Human Resources and Social Affairs is beneficial to the country to provide personalized and better experience services for the people.

Zhang Hancheng (WeChat: 13910942381 , welcome to exchange) Research areas mainly include: Introduction to Big Data Fundamentals, Basic Principles and Technical Architecture of Blockchain , Big Data Application Practices in Enterprises and Governments, Business Models for Data-Driven Business Transformation, Medical Big Data Operations System, fiscal and tax big data, customs big data, poverty alleviation big data, retail big data, operator big data construction plan, tourism big data platform construction plan, data asset management, big data industry ecological analysis, data transaction market, blockchain, The value of new technologies, such as artificial intelligence, to traditional enterprises, and enabling solutions.