The invention discloses a
big data electronic archive management method, and relates to the technical field of electronic archive management, and the method comprises the following components: S1, data collection and integration, S2,
risk factor recognition model construction, S3, real-time risk monitoring and analysis, S4, intelligent early warning and
risk assessment report generation, and S5, coping suggestion generation and pushing. According to the method, related data of the electronic archives are collected in real time, the
risk factor identification model is constructed, and the data leakage risk, the storage equipment fault risk and the law compliance risk can be monitored and analyzed in real time, so that archive management personnel can be helped to discover potential safety hazards in time, and the safety of the archives is improved. In addition, the method can accurately assess the severity of the risk by quantifying the risk
influence factor, so that the archive management personnel can quickly take corresponding measures to avoid or reduce the loss caused by the risk, and in addition, the method can intelligently generate a
risk assessment report to provide decision support for
risk prevention and control for the archive management personnel, thereby improving the risk
management efficiency. And the
risk prevention and control capability of electronic archive management is further improved.