The predecessor of the enterprise data middle platform is the data center, which functions as a data transfer hub. Different business departments extract data from the data center into their respective business systems for analysis and application according to their own requirements. As a new‑generation information infrastructure platform, the enterprise data middle platform views the full spectrum of corporate business data from an enterprise‑wide perspective and delivers standardized, unified big‑data analytics capabilities to customers. What are the application modes of the enterprise data middle platform system?

I. Enabling Flexible Data Analytics for Enterprise Departments
The enterprise data middle platform addresses the historical lack of data analytics expertise within business departments. Before the emergence of the data middle platform, business departments had to rely on technical teams to fulfill analytics requests due to insufficient in‑house technical capabilities. Extensive communication and coordination among business, technical and analytics departments consumed substantial time and communication overhead, while diverting technical teams from higher‑value projects.
Breaking down complex data formats and enabling data sharing, the enterprise data middle platform lowers technical barriers for business departments. Business personnel are empowered to conduct data analytics independently.

II. Enabling Flexible Application Development for Enterprise Technical Units, Business Units and External Parties
Internal technical and business departments, as well as third‑party parties including external vendors, can build applications based on the data middle platform. The data middle platform assists enterprises in building an industry‑oriented ecological sharing platform, bringing benefits to internal and external staff as well as upstream and downstream enterprise clients.

III. Continuously Building the Enterprise’s Capabilities for Data Asset Management Applications
It accumulates enterprise data assets and value‑driven assets. The data middle platform connects, consolidates and shares business resources, technical resources and corporate assets. Formed data assets equip technical teams with sustainable application‑development capabilities. In return, data generated by iterative new applications delivers innovative data value for subsequent application development, forming a closed‑loop cycle.