Big Data Technology of Precision Poverty Alleviation Tracking Audit System under the Internet

Abstract

As our country’s poverty alleviation has entered a decisive moment, it has become an urgent task to count the poor. Based on the Internet perspective, this article combs the basic theories and related overviews of the precision poverty alleviation policy, and on this basis, carries out the follow-up audit evaluation system construction; In order to improve the audit effect, this paper uses big data technology, case analysis method, literature analysis method and other methods to collect data from databases such as CNKI, Wanfang database, SSCI, etc., build a tracking audit system model, and pass The literature survey method reads and analyzes a large number of related literature. The study found that through the introduction of big data calculations, the tracking audit effect has been improved, the accuracy has increased by 30%, and the classification and tracking of the poor have been greatly improved. The index is above 0.8, an increase of about 40%. This shows that under the follow-up audit of precision poverty alleviation, big data technology can play an important role and greatly improve poverty alleviation work.