Enterprise key performance index unified management and visualization system based on data center

By constructing a causal topology module, a data aggregation and integration module, a causal strength optimization module, an indicator anomaly identification module, and a decision simulation visualization module, the problems of unclear causal transmission paths and lack of quantitative support for anomaly identification in existing technologies have been solved, enabling precise management and visualization of key performance indicators for enterprises.

CN122414909APending Publication Date: 2026-07-17GANSU ELECTRIC POWER INFORMATION COMM
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Patent Information

Application Number
CN202610521997.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

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.

Method used

The system constructs a causal topology module to build topological relationships, determines logical flow in conjunction with a business process library, and forms a hierarchical causal architecture. The data aggregation and consolidation module eliminates differences in multi-source heterogeneous data and constructs a time-series data sequence of indicators. The causal strength optimization module performs dynamic dependency parsing and generates a causal effect strength matrix. The indicator anomaly identification module identifies anomaly patterns, and the anomaly cause backtracking module traces the core cause chain. The decision simulation visualization module simulates the decision path.

Benefits of technology

It achieves precise mapping of the causal impact framework, quantifies anomaly identification and cause tracing, improves the accuracy of locating core causes and the efficiency of decision support, forms a full-chain technology system, and supports the unified management and visualization of key performance indicators for enterprises.

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Abstract

The invention relates to the technical field of enterprise management, and discloses a data center-based enterprise key performance index unified management and visualization system, which comprises a causal topology construction module, a data aggregation and normalization module, a causal intensity optimization module, an index anomaly identification module, an anomaly cause backtracking module and a decision simulation visualization module, constructing a key performance index topological relation to obtain a causal influence framework; aggregating and normalizing the multi-source heterogeneous service data to obtain an index time sequence data sequence; optimizing the influence intensity of the causal influence framework based on the index time sequence data sequence to obtain a causal effect intensity matrix; identifying a key performance index abnormal mode based on the causal effect intensity matrix to obtain an abnormal index event; according to the abnormal index event, backtracking a causal influence framework path to obtain a core cause link; based on the core cause link simulation decision path, obtaining a visual decision report; according to the invention, the unified management efficiency of enterprise key performance indexes can be improved.
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