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GBASE Smart Government Affairs-Credit Information sharing and Exchange system solution

2025-03-26 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Database >

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Shulou(Shulou.com)06/01 Report--

Project introduction

Relying on the Tianjin e-government extranet and the Internet, the project realizes the interconnection with various social credit systems and platforms at the national, municipal and district levels, and integrates the credit information in the areas of government integrity, business integrity, social integrity and judicial public trust, to create a unified and comprehensive credit information sharing and exchange center in Tianjin. Strengthen the service and supervision of credit subjects, strengthen the application of trustworthy incentives and joint punishment, improve the honesty consciousness and credit level of the whole society, and promote the construction of "credit city".

System presentation

In this project, together with our partners, we have customized four comprehensive display themes for users, showing data information access, data application status, important index analysis and corporate credit respectively, with the help of flexible customization of BI components and data interface technology to achieve the display effect of real-time data and real-time update.

Architecture design

Deployment architecture diagram of the project as a whole

The project adopts a comprehensive data large screen system with customized data interface, comprehensively summarizes all kinds of important indicators with the help of the fast computing power of the display library, and uses model management and WebService technology to achieve the real-time display effect of business data.

Construction significance

Through a comprehensive display of the large screen, the overall situation of Tianjin credit data is shown in a panoramic view, and the linkage application of data across multiple departments is realized through the rapid aggregation and calculation of various indicators. It effectively improves the integration ability of credit-related data and provides strong support for complex decision-making work.

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