一种面向企业数字化的数据治理与应用方法
By establishing a cross-departmental data management organization system and multi-level data standards, the standardized governance of multi-source heterogeneous data has been achieved, solving the problem of insufficient comprehensiveness and depth of existing data governance methods, improving the adaptability of data processing to business needs, and supporting intelligent decision-making for enterprises.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING HKRSOFT TECH CO LTD
- Filing Date
- 2025-07-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing data governance methods are insufficient in terms of comprehensiveness and depth, making it difficult to conduct cross-dimensional correlation analysis and potential value mining of massive and complex data from multiple sources and heterogeneity. This results in insufficient adaptability of data processing to business needs and an inability to effectively support load forecasting and equipment maintenance strategy optimization during the power operation phase.
Establish a cross-departmental data management organizational system covering the decision-making, organization and coordination, data management, and work execution levels. Through metadata collection, asset catalog construction, multi-level data standard system, and quality control rules, achieve standardized governance and business value transformation of multi-source heterogeneous data.
It achieves the integrity and timeliness of multi-source heterogeneous data, improves the mining of potential correlation patterns across systems and data types, solves the problem of mismatch between data processing and business needs, and supports intelligent decision-making for enterprises.
Smart Images
Figure CN120873040B_ABST