According to the available online big data monitoring, Leye set up a big data center for poverty alleviation early this year. Focusing on the problem of "who to support, who to help, how to help, and how to retire", Leye gave full play to the role of county, township, and village information workers and cadres, and carried out the work of collecting, real-time monitoring, screening comparison, analysis and application, verification and update of big data for poverty alleviation, so as to make the big data entered into the cloud more "grounded", promote accurate information checking and adjustment, accurate landing of measures, accurate assistance to cadres, accurate and efficient supervision, and provide strong support for winning the battle against poverty on schedule.

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In order to improve team collaboration efficiency and break down communication barriers, the Big Data Center implements regular joint office work and conducts more than 2 business trainings per week to ensure data centralization, service delay, connectivity, information sharing and dynamic management, so as to better play a coordinating role.  At the same time, some elites will be drawn out to do the related work of detailed basic information big data monitoring for poverty alleviation.

Data and information are being updated, and the production and living conditions of poor households are also changing.  At present, the Big Data Center has cleaned and approved more than 3,000 pieces of problem data, promoting the resolution of more than 400 problems in housing, drinking water, medical care, education, industry, employment and other aspects of poverty alleviation targets, providing an important reference for the decision-making and deployment of poverty alleviation work throughout the county, and making various poverty alleviation policies and assistance measures more accurate and pragmatic.

Relevant information is entered into the system through big data monitoring and updated in time, thus ensuring the accuracy and real-time of data and improving work efficiency.  At the same time, we will strengthen early warning and monitoring, screen poor "marginal households" and establish problem ledgers, formulate "one household, one policy" assistance measures and urge their implementation to prevent the risk of poverty caused by returning to poverty.

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