Urban Social Governance IOC Solution

Application Scenario

Urban Social Governance IOC Solution

Modernizing social governance is a critical component of the broader modernization of national governance systems and capabilities. Digital technologies such as big data, cloud computing, IoT, and artificial intelligence serve as key drivers to enhance the modernization of social governance. Leveraging these technologies to empower national governance modernization is an important strategy for China to seize historical opportunities, maintain strategic stability, and secure proactive influence in the global landscape.

Industry Challenges

The social governance landscape is complex, with redundant, conflicting, and poorly connected information; data often lacks clear meaning.
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Social governance spans wide areas, and cross-region, cross-department, and multi-entity collaborative governance capabilities are insufficient.
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Governance technologies are outdated, with limited application of big data and other advanced technologies, and a lack of scenario-based development.
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Social governance faces diverse and frequent risks, with insufficient dynamic awareness of emergencies and limited multi-dimensional analysis of potential risks.
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Our Methodology

Business-Driven Governance, Data-Driven Decision Making

Data alone is meaningless without integration into business processes. Departments coordinate to form cohesive workforces, advancing local big data planning and construction. Top-level design links data governance with business objectives, strengthens inter-departmental collaboration, and accelerates data value realization.

Linking Data with Business, Full-Scope Awareness on One Screen

Integrate resources from functional departments such as municipal commissions, emergency management, transportation, and public security, using data as the central thread to create a city-wide risk awareness system. This system supports real-time trend analysis and decision-making, enhancing risk prevention and control capabilities in critical areas including public health, production safety, urban security, and natural disasters, while improving risk identification and early warning capabilities.

Technology Integration and Multi-Level Collaborative Operations

By combining big data, IoT, digital twin technology, and integrated communications, governance systems expand communication channels and share data resources. Multi-department coordination is enhanced in emergency monitoring, early warning, decision support, and command operations. End-to-end process coordination—from pre-event to during-event and post-event—improves comprehensive awareness, rapid response, precise regulation, and resource allocation, effectively enhancing disaster prevention, mitigation, response, and recovery, while reducing the risk of major incidents.

Scenario-Focused Innovation, Digital Empowerment of Governance

Driven by problem-solving, and based on local social governance concepts, develop smart scenario applications tailored to local conditions and needs. Examples include Party-led initiatives, intelligent community management, and public safety platforms. These initiatives promote sustainable, modernized development of social governance.

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Holistic Planning

Implementation Value

Digital technologies empower social governance by providing unified visualization and management of people, locations, events, objects, situations, and organizations within the city. They streamline the complex information resources involved in urban governance, open data channels, break down traditional fragmented governance patterns, and promote resource sharing and business collaboration.

Digital technologies empower social governance by providing unified visualization and management of people, locations, events, objects, situations, and organizations within the city. They streamline the complex information resources involved in urban governance, open data channels, break down traditional fragmented governance patterns, and promote resource sharing and business collaboration.

By enabling “data-driven insights, data-informed decisions, data-based management, and data-enabled innovation,” social governance concepts and models are advanced, promoting more scientific, precise, and intelligent governance.

By enabling “data-driven insights, data-informed decisions, data-based management, and data-enabled innovation,” social governance concepts and models are advanced, promoting more scientific, precise, and intelligent governance.

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