基于孤立点分析在保险业信息化审计应用探讨

大数据时代下,数据挖掘技术日趋成熟、方式更加多样化,为计算机审计提供了有力支撑。通过对被审计单位基础数据抽取、处理、分析,让快速获取审计线索成为可能。基于孤立点分析构建审计抽样模型的方法分析保险车险理赔数据和其他数据之间的内在逻辑关系,实现了快速确定可疑样本,进一步实施详细审计,从而提高审计效率、降低审计风险和节约审计成本。

In the era of big data, data mining technology is becoming more mature and diversified,which provides a strong support for computer auditing. By extracting, processing and analyzing the basic data of the auditees, it is possible to get audit clues quickly. Based on outlier analysis, the method of constructing audit sampling model is used to analyze the internal logical relationship between insurance claims data and other data. It can quickly identify suspicious samples and further implement detailed audit, so as to improve audit efficiency, reduce audit risks and save audit cost.