Enterprise Data Cloud

Focusing on the whole life cycle of data, we provide complete data solutions, we open up data sharing channels inside and outside enterprises and institutions, promote assetized, service-oriented and value-based data, and enhance the core competitiveness of enterprises.

About Enterprise Data Cloud
Business Challenges
Advantages of cloud migration
Business Scenarios
Customer cases

About Enterprise Data Cloud

Through data collection, governance, exchange, mining, and development, and finally data supply to demand stakeholders, we build an enterprise digital cloud with capabilities such as real-time aggregation of global data, full-link intelligent data governance, unified digital asset management and operation, and full-life cycle data security assurance, so as to achieve large-scale data aggregation, diversified processing, timeliness flow, high-quality governance, high-value transformation, and security and credibility assurance.

Business Challenges

Enterprise data business has higher scenario-oriented requirements

Enterprise data needs to be partially customized according to actual business scenarios, different industries have different requirements, and high customization requirements lead to low product reuse, so business solutions are required to be more flexible to meet the requirements of different business scenarios.
The system of enterprise data standards and specifications is not uniform

The technical standards and management specifications on which the data of each business system of the enterprise is based are not the same; In the development and utilization of data, a large amount of manpower and financial resources are required to clean and compare data, which greatly increases operating costs, and it is necessary to build and improve the internal data standard system of enterprises in combination with industry standards.
It is necessary to build and improve the overall management mechanism of data

The long chain of enterprise data from R&D to sales, supply, delivery, and O&M may also span multiple industries, which to some extent has caused problems such as fragmentation, strong business organization, difficulty in change, and high complexity of change, lack of overall planning, and lack of integrated operation and maintenance mechanism.

Advantages of cloud migration

Promote the “standardized operation” of digital resources

Build a digital and quantifiable evaluation system for the efficiency and application of digital resources, gradually improve standards and specifications, continue to promote the implementation of standards and specifications, strengthen the performance evaluation of the implementation of standards and specifications, promote the sustainable operation of digital resources, and promote the continuous improvement of the quality of informatization construction.
Deepen the governance and circulation of enterprise data resources

Realize the quality control of the whole life cycle of enterprise data, promote data source governance and system governance, and form enterprise data assets with overall management, orderly scheduling, and reasonable distribution; Build a unified data sharing and exchange system, establish a secure, stable, and efficient data supply chain, and promotes the integration and circulation of data resources.
Multi-industry scenario practice

Enterprise Data Cloud provides one-stop solutions, including a full suite of products such as big data, blockchain, and Internet of Things, to help customers quickly build enterprise data clouds. It has been applied in many industry projects such as smart city, natural resources, market regulation, health care, radio and television, etc.
Improve the level of data security operation and maintenance

Relying on the normalized detection of data security and technical protection methods, with the association management of “people, data, and scenarios” as the core, work responsibility mechanisms and data security guarantee systems are established and improved to perceive various threat events in real time, timely block high-risk operations, and improve the security protection and monitoring level.

Business Scenarios

Internet of Things scenario
Urban converged media scenario
Enterprise data governance scenarios

Due to the multitude of sensors and smart devices spreading across the world, the Internet of Things triggers an inundation of data or big data. Data cloud uses big data technologies and frameworks to easily cope with such a huge amount of data and generate valuable data through mining to drive business goals.
On the premise of satisfying social benefits, the urban converged media project disseminates the voice of the party and the state, purifies the audio-visual environment, and has the characteristics of “high coverage, high matching, strong reach, and low interference”, and at the same time integrates functions such as disaster early warning, community service, and people’s livelihood service, so as to meet the people’s requirements for public cultural services and vigorously promote the construction of socialist spiritual civilization.
Enterprises urgently need digital transformation to change the situation of “data islands”. For digital transformation, they should first grasp the starting point of “data governance”, take stock of enterprise data assets, carry out data governance, and then feed back the business system to form a spiral PDCA ring and improve the competitiveness of enterprises.

Customer cases

Improve service levels and lead economic development with cloud computing technology,

See all case studies

If you have any questions about Inspur Cloud, please contact us

Are you interested in our solutions?

Please do not hesitate to contact us! We're here to help.