Industry Pain Points
Poor Collaboration Consistency
The consistency between the energy data platform and the energy development business collaboration platform is poor, lacking unified planning and design. The original technical architecture of the data platform fails to meet the increasing business demands.
Weak Analytical and Application Capabilities
The analytical and application capabilities of data are insufficient, with data not being open. There is no unified platform for business personnel to conduct data analysis.
Lack of Data Tool Platforms
There is a lack of effective tool platforms for managing and controlling resource management (statistics, analysis, quality, etc., of models and data). Most operations rely on manual work, resulting in low efficiency and poor outcomes.
Absence of Data Service Standards
There is a lack of unified service standard definitions. Service methods are diverse, including views, RESTful interfaces, and direct account access, with a lack of service auditing.
Business Objectives
Solution Architecture
Customer Value
Data Standardization and Management Capabilities
Through data aggregation and collection, unified data resources are formed to create a standardized data resource pool. Activities such as data standardization governance and data processing are carried out to produce highly available data assets. Mechanisms for data quality and data security management and control are established to effectively ensure the quality and security of data assets. Additionally, a data management system is constructed to achieve systematic management and operational capabilities for data.
Data Sharing Capabilities
Through a unified data asset portal, the querying, browsing, acquisition, and distribution of data assets are realized. Under the premise of meeting data quality requirements and data security management mechanisms, the sharing and exchange capabilities of data assets across departments, businesses, and domains are achieved.
Data Service Capabilities
Seamlessly integrate data assets into energy business system applications in the form of data services to meet their data usage requirements. Establish a closed-loop model where business operations generate data and data, in turn, enhances business operations. Realize the servicization of data assets and continuously empower front-end business applications.
Learn more, start your data intelligence journey now