Low-code data analysis platform and method based on multi-source data real-time access

By using a low-code data analysis platform that enables real-time access to multi-source data, the integration and standardization of heterogeneous multi-source data is solved, achieving efficient, flexible, and real-time data analysis, and meeting enterprises' needs for low-threshold, high-efficiency, and accurate data.

CN121765002APending Publication Date: 2026-03-31GUANGZHOU SHENYI INFORMATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202511943456.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-22
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve real-time integration and standardization of multi-source heterogeneous data, resulting in long data analysis response cycles, insufficient flexibility, lack of real-time performance, and wasted resources. This fails to meet enterprises' demands for low-threshold, high-efficiency, and accurate data analysis.

Method used

It adopts a low-code data analysis platform based on real-time access to multi-source data. The data access module performs consistency processing and automatic mapping of heterogeneous fields with the same name. The modeling module generates a unified data model and automatically generates query statements. Combined with the rendering engine and early warning module, it achieves cross-terminal adaptation and real-time calculation. It uses knowledge graph and graph embedding technology to recommend and verify intelligent relationships.

Benefits of technology

It achieves efficient integration and standardization of multi-source heterogeneous data, lowers the technical threshold for data modeling, improves the efficiency of data analysis and decision support, ensures the accuracy and timeliness of data, and meets the needs of enterprises for rapid decision-making.

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Abstract

The invention relates to the technical field of data analysis, and discloses a low-code data analysis platform and method based on multi-source data real-time access, and the platform comprises a data access module, a modeling module, a rendering engine and an early warning module. The method corresponds to the platform. According to the method and the device, the problems of real-time integration and standardization of the multi-source heterogeneous data are solved by obtaining the standardized data entity, and a high-quality data basis is provided for subsequent analysis; a dynamically constructed knowledge graph and a graph embedding technology are deeply fused into a data analysis process, so that semantic association among data entities is intelligently understood, an optimized query statement is automatically generated, intelligent recommendation and rationality verification are provided for establishing a data association relationship for a user, and the technical threshold of data modeling is reduced; a second-level response closed loop from data access to visual presentation is formed based on intelligent chart recommendation of data features and early warning rules and instant calculation and triggering in a real-time data stream.
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