Unified management and visualization system of enterprise key performance indicators based on data platform
By constructing a causal impact framework, assessing the dynamic impact intensity, and quantitatively determining anomalies, the problems of unclear causal transmission paths and lack of support for tracing causes in existing technologies have been solved, enabling efficient and unified management and decision support for key performance indicators of enterprises.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GANSU ELECTRIC POWER INFORMATION COMM
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies fail to incorporate the logical flow and hierarchical classification standards of enterprise business processes when constructing relationships between key performance indicators. This results in a lack of clear direction and hierarchy in the relationships, making it difficult to accurately map the causal transmission path between indicators in the actual business scenario. Furthermore, anomaly identification and cause tracing lack quantitative support for the intensity of impact, making it impossible to efficiently locate the core cause.
The causal influence framework is constructed through the causal topology construction module. The logical flow and hierarchical division are determined by the enterprise business process library. The multi-source heterogeneous data is unified by the data aggregation and integration module. The causal strength optimization module is introduced to conduct dynamic influence strength assessment. The indicator anomaly identification module is combined to conduct quantitative anomaly judgment. The core cause is traced through the anomaly cause backtracking module. Finally, the decision simulation visualization module generates a visualized decision report.
It has achieved precise mapping and quantitative anomaly identification of the causal impact framework, improved the efficiency of enterprise key performance indicator management and the accuracy of decision support, and formed a full-chain technology system from anomaly identification to decision simulation.
Smart Images

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