A method and system for enterprise operation data analysis and management decision optimization
By constructing enterprise operation event flows and comprehensive graphs, identifying bottleneck contributions, and orchestrating executable decisions, the problem that existing enterprise management systems cannot dynamically analyze multi-source heterogeneous data is solved, achieving efficient and automated decision optimization and system self-optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU SHANGHE DIGITAL TECHNOLOGY CO LTD
- Filing Date
- 2026-06-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing enterprise management systems are unable to dynamically and comprehensively analyze multi-source heterogeneous data, leading to decision-making that relies on experience, lacks quantitative forecasting and execution parameters, and makes it difficult to optimize enterprise operations.
By constructing an enterprise operation event flow, generating a comprehensive operation map, identifying bottleneck contributions, orchestrating executable decisions, realizing counterfactual inference and decision optimization, and establishing a self-optimizing closed-loop system.
It enables deep insights into enterprise operations, accurately identifies hidden bottlenecks, reduces decision-making risks, improves agility, and achieves end-to-end automated decision-making. The system's capabilities are continuously enhanced as data accumulates.
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Abstract
Citation Information
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