传统的监管手段人力成本高、效率低,已滞后于行业发展,大数据则能高效全面地对行业数据进行采集,引入“大数据+监管”模式既可以实现科技化驱动下的全景式监管,也能厘清行业发展的本质与重点,让监管真正“跟上”技术,为监管层做出科学决策奠定基础。本报告介绍了大数据的基本原理与技术发展情况,并结合具体事例分析了大数据在我国监管科技中的应用和实践,同时,对大数据在监管科技中的应用前景做出分析并进行展望。
<<Chinese Abstract:The traditional supervision method lead to high labor cost and low efficiency,which has lagged behind the development of the industry. Big data can collect industry data efficiently and comprehensively. Introducing “big data + supervision” mode can lead to panoramic supervision driven by technology. It can also clarify the essence and focus of the industry development,allowing the supervision to truly “catch up” with the technology and lay the foundation for the scientific decision-making of the regulatory layer. This report introduces the basic principles and technological development of big data,and analyzes the application and practice of big data in China’s regulatory science and technology with specific examples. At the same time,it analyzes the application prospects of big data in regulatory technology and puts forward relevant suggestions.
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