With the rapid development of information technology and the constant deepening of the social informatization degree, criminal activities have shown the characteristics of complexity, dynamics, and intelligence. So how to use advanced technologies such as big data and artificial intelligence to analyze the digital world and discover crime clues to realize early discovery, early recognition, and early strike of criminal behavior has become a core challenge in the construction of public security business system.
Based on one-stop big data governance, full domain access to public security, government, Internet and ubiquitous IoT perception big data, and through standardized governance, organization and service method systems, PERCENT Technology constructs big data intelligent application products oriented to police practical work, and provides comprehensive support for public security big data governance, public security risk prevention and control, supervision integration, and other applications, to realize the application values in aspects of digital investigation, dynamic crime attack, risk prevention and early warning, security situation awareness, intelligent police service, etc.
PERCENT Technology conducts integrated governance for multi-source heterogeneous data of public security, and realizes the full process management of big data access, processing, governance, organization and service through the comprehensive use of automated tools and customized software. At the same time, through unified data standards and optimized data models, it establishes a unified public security data asset management system to realize the full lifecycle management of data, build a shared panoramic data view, and improve the efficiency and value of public security data information. Besides, it has a perfect data security system, which can be applied to multiple police types of public security organs, conforms to the big data processing standards of the Ministry of Public Security, and is compatible with local data characteristics, realizing data hierarchical management.
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