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Application scenario
Procuratorate Big Data
Currently, prominent problems exist in procuratorial case handling practice, such as inconsistent evidence standards, different handling of the same case, and more cases than personnel; and procuratorial decision-making faces problems such as poor data quality and difficult data analysis, resulting in insufficient data to support precise decision-making and precise case handling. With the Supreme People's Procuratorate issuing the "Procuratorial Big Data Action Guide (2017-2020)," which points out the direction for procuratorial big data construction, it is required to fully apply big data and other related modern technological means to serve judicial case handling, procuratorial management, and the people, further standardize judicial behavior, solve problems such as judicial injustice, non-standard judicial practice, and insufficient effectiveness, improve the quality and efficiency of judicial case handling, enhance judicial credibility, and promote the development of procuratorial work in reform, strengthening in exploration, and advancement in innovation.
Facing challenges
Solution
Overall planning, to build a comprehensive business solution
Procuratorate Big Data
Application value
Digital Intelligence Empowers Procuratorial Case Handling
Using big data analysis means, procuratorial data can be effectively analyzed, truly giving play to the value of data; for example, deep mining of electronic files can effectively solve the contradiction of more cases than personnel; compliance review of evidence can effectively improve the appeal success rate of public prosecution, greatly reducing the workload of prosecutors and effectively improving work efficiency.
Aggregate Procuratorial Data Resources
Form a unified procuratorial business data resource center, clarify relevant types of data around cases and their core elements, including structured information, file data, etc., realize full electronization and consistency, support rapid retrieval, and thoroughly solve the difficulty of data sharing and utilization.
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