High threshold for data analysis process

In traditional data analysis, business report developers are often required to write SQL or rely on specialized data analysis tools. However, the skill threshold in this process becomes a barrier, especially for non-technical roles such as corporate decision makers and business people.

Low efficiency of data indicator query

The efficiency of querying data indicators is limited by the fixed query fields and combination methods provided by traditional methods, which lack flexibility, especially when responding to temporary or urgent data analysis needs, and cannot achieve rapid response.

Insufficient data-assisted analysis capabilities

Traditional data methods are usually passive analysis, which cannot effectively explore and analyze actively, and cannot meet the deeper exploration of data by business personnel.

Enterprise knowledge cannot be effectively precipitated

Enterprise metrics/data are often scattered across multiple business databases, resulting in fragmented information and inefficient query analysis. At the same time, the lack of suitable tools for team collaboration and knowledge sharing hinders the effective precipitation of enterprise knowledge.