Market Supervision and Administration Big Data

Application Scenario

Market Supervision and Administration Big Data

Developing a robust market economy requires effective market regulation. In the context of sweeping economic reforms and the rapid rise of e-commerce driven by the Internet, along with the continuous emergence of new business models, market supervision faces unprecedented challenges and opportunities. To meet these demands, regulatory methods, capabilities, and efficiency must be comprehensively enhanced—shifting from extensive to precision-based regulation, and from campaign-style to routine oversight.

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Industry Challenges

Regulatory methods require strengthening to address the diverse and rapidly evolving new business models.

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Wide scope of business activities makes information collection a significant challenge.

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Data mining models must align with the operational patterns of enterprises to achieve true precision in market regulation.

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Guiding healthy market development through technology requires innovation in both decision-making and institutional mechanisms.

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Our Methodology

Integrating information to strengthen the foundation

Consolidate internal data resources from the Market Supervision and Administration system, government service platforms, and social data sources to form a comprehensive big data resource pool for market regulation. Through advanced concepts and methods such as data governance, establish a robust big data center that serves as the cornerstone of market supervision.

Platform as the starting point, applications as the driver

Intelligent market supervision powered by big data and other innovative technologies is a complex, systematic undertaking. It encompasses large-scale, wide-ranging, and highly complex elements including data resources, technical tools, and infrastructure. In particular, the governance of data resource systems, the application of AI technologies, and the adoption of interactive data visualization and visual analytics require a mature software platform to encapsulate most underlying complexities, ensuring successful project implementation.

Demand-driven planning

In line with the requirements of the market supervision system and in coordination with the development of the social credit system, fully integrate innovative approaches such as big data and “Internet+.” Drive progress through a dual engine of technological innovation and business innovation, supported by top-level design. Select qualified pilot regions for early implementation to accumulate best practices and proven methodologies.

Business-oriented, data-driven

Leverage big data technology to analyze the characteristics and behaviors of market entities and related stakeholders, uncover underlying patterns and trends, and conduct early warnings and predictive assessments of market activities. Focus regulatory attention on priority groups, aligning the value of data mining outcomes with the specific needs of market supervision.

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Implementation Value

Through data science and analytics, regulation can shift from extensive oversight to precision supervision, and from passive inspections to real-time monitoring and early warning. Within the constraints of limited enforcement resources, this transformation will significantly improve efficiency and regulatory effectiveness, elevating market supervision to a new level.

Ultimately, it will foster a sound market environment for the comprehensive development of the market economy, safeguarding and enabling the healthy growth of the new economy.

The application of big data technologies in market regulation will bring substantial significance and value to both regulatory operations and the growth of the new economy. In market supervision, data speaks. By integrating mechanisms such as the “data iron cage,” the “double-random, one-open” inspection approach, and the construction and management of the credit system, big data will weave a comprehensive “regulatory web.”