大数据驱动的审计与纪检监察协同监督模式构建

Building a Collaborative Supervision Model for Auditing and Disciplinary Inspection Driven by Big Data

加强审计与纪检监察协同监督是强化监督质量的重要措施。本文梳理审计与纪检监察协同监督研究现状,分析协同监督类型,评价协同监督质量,剖析传统制度驱动协同的弊端,比较协同驱动动力类型,阐释资源深度融合凝聚内驱动力的内在机理,奠定数据驱动协同的主体地位。基于数据驱动动力支持、大数据协同平台支持、资源融合的价值源泉支持,建设协同监督机制,从而构建以数据为中心的审计与纪检监察协同监督模式,提升审计与纪检监察协同监督效应。

Strengthening coordinated supervision of audit and discipline supervision is an important measure to strengthen the quality of supervision.This paper coombs the current situation of audit and discipline inspection,analyzes the type of ccollab orative supervision,evaluates the quality of collaborative supervision,analyzes the disadvantages of traditional system driven synergy,compares the collaborative driven power type,explains the internal mechanism of deep fusion driving force within resource cohesion,thus laying the main position of data-driven synergy.Based on the data-driven power support,big data collaborative platform support,and resource integration value source support,to build a collaborative supervision mechanism,so as to build a data-centered collaborative supervision mode of audit and discipline supervision,and improve the collaborative supervision effect of audit and discipline supervision.