Data Service Market

The data service market has created a system and environment of “data collection, digital computing, and digital use” for the application scenarios of various departments and industries, and the “digital-real integration” has realized the integration and innovation of data, technology, and business, promoted the release of data value, and accelerated the digital transformation of government departments at all levels.

  • About the Data Service Market
  • Business challenges
  • Advantages of cloud migration
  • Business scenarios

About the Data Service Market

The data service market provides government customers with data services such as data governance, model processing, and application innovation. It helps users dig deep into data, build a business-based scenario model factory, realize data-driven digital transformation, provide large-scale data storage, data processing and data analysis capabilities for public services and social services, realize the standardization and normalization of data processing, integrate technologies and business scenarios, and promote the release of data value.


Business challenges

  • The operation system is not perfect

    Data services may be unavailable due to factors such as data source changes, algorithm failures, or human operations, and there is a lack of monitoring, scheduling, unified operation and maintenance of data services, and a lack of regular operation and maintenance of model performance and quality.


  • Security and privacy are difficult to guarantee

    The lack of management of the whole life cycle of data in the process of data circulation, and the lack of regulation of operation behavior in the process of data operation, can easily lead to data leakage and data security problems.


  • The system support is scattered

    The establishment of existing platforms or systems is based on the original business processes of business departments, which is difficult to directly adapt to the construction of business model scenarios. At present, most of the scenarios are written or implemented by different modeling tools, and there is no unified development tool, and the integration and implementation cost is high.


  • It is difficult to convert applications

    There is no systematic combing of the data service market based on actual business needs, no systematic internal summary, and no benchmark application cases are formed to drive the digital transformation of the industry from point to area.


Advantages of cloud migration

  • Operational services

    On the one hand, the data service market has helped various commissions and bureaus to quickly complete the data governance work in the form of data service catalogs, and realized the operationalization and normalization of data governance. On the other hand, the data service market can collect statistics on service usage and service operation, and realize unified scheduling and emergency handling.


  • Convenient services

    The data service market platform has built-in data models, scenario models, data packages and other services to achieve “out-of-the-box” and “fast delivery” of services, reduce the cost of data use and development, and make data application convenient and efficient.


  • Precise services

    Data services can be customized according to the needs of various commissions and bureaus, model services can be directly generated through platforms and tools, and the difficulty of conversion from data to business applications can be reduced through supply and demand docking, thus achieving accurate service empowerment scenarios.


  • Diverse services

    The data service market supports a variety of services, from the traditional provision of data sharing and exchange services to the provision of diversified services such as data, models, packages, mini programs, and training sets, and makes every effort to promote element-based, market-based, and scenario-based data.


  • Centralized services

    The data service market takes data as the core, integrates multi-source government data, empowers specific business scenarios, and integrates various data service forms into a single platform for unified centralized management and unified external services.


Business scenarios

  • Data Training Set Service

  • Data Package Service

  • Data Mini Program Service

  • Scenario Model Service

  • The data training set is a labeled data training set formed by integrating, cleaning, and transforming the public data of various departments for a certain industry or field, and provides it to large models for data training. This scenario includes the list of data training sets, popular data training sets, and the favorite ranking of data training sets.


  • The data package supports the filling of forms, rapid data verification, and online acquisition, verification, and download of electronic certificates through departmental data sharing, data query, data verification, and other services to avoid repeated submission of paper certificates. This scenario includes the list of data package services, popular data packages, and the favorite ranking of data packages.


  • The data mini program provides an online query page for the data interface, and the data can be queried and verified by entering the query parameters on the page or uploading the data table to return the query and comparison results, which is convenient and quick to carry out data query, data verification and other operations. This scenario includes the list of data Mini Program services, popular data Mini Programs, and the favorite ranking of data Mini Programs.


  • The Scenario Model Service displays built-in scenario models of the platform, which can be used to view and apply for the Scenario Model Service. This scenario includes the list of scenario model services, popular scenario models, and the favorite ranking of scenario models.


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