"Digital supervision" has become an indispensable new form of power supervision system in the era of big data. Previously, the State Commission for Discipline Inspection of the Central Commission for Discipline Inspection also issued the "Information Work Plan (20 18-2022)", which clearly required to provide strong scientific and technological assistance and technical support for the performance of discipline inspection and supervision functions in accordance with the rules and regulations. Digital empowerment power supervision is the practical need to improve comprehensive governance ability and keep pace with the times, the working concept of innovating supervision methods to promote supervision, and the inevitable requirement of high-quality development of discipline inspection and supervision.
Second, solve the problem.
Although it is a new and beneficial attempt to use big data technology to solve the traditional problem of cadre power supervision, with the rapid extension of Internet technology in various fields of society, more and more government departments are beginning to explore how to use this technology to play a role in power supervision. However, it is undeniable that the effectiveness of power supervision needs to be further strengthened in practice, and there are still some outstanding problems to be solved urgently.
For example, the supervision department is not clear about the supervision content, the data collection method is not comprehensive, the information collection is difficult and inefficient; Commission for Discipline Inspection and Supervision at all levels has a large amount of data and lacks platform integration in the process of informatization. The data related to discipline inspection and supervision are not interconnected, resulting in "isolation" of business data; The traditional supervision mode is inefficient and time-consuming, and the overall problem is difficult to count and the accuracy is not enough. Relevant leaders can't grasp the overall situation of the power operation of departments at all levels in the region and the trend frequency of problems, so it is difficult to make decisions.