面向ERP系统的多维度数据可视化分析平台设计与实现

Design and Implementation of Multi-dimensional Data Visual Analysis Platform for ERP System

摘要:

为了提升ERP系统在数据管理与决策支持中的应用价值,文中构建了一种多维度数据可视化分析平台。具体地,采用分层架构设计,将前端可视化交互、后端微服务处理与湖仓一体化数据管理有机结合,通过ETL/ELT与CDC技术实现多源异构数据整合,并引入OLAP分析与交互式图表构建报表模板与自定义功能。实验表明,该平台在高并发场景下仍能保持较低响应延迟与较高稳定性,显著增强了数据处理效率与分析深度。

Abstract:

To enhance the application value of ERP systems in data management and decision support, this paper constructs a multidimensional data visualization analysis platform. Specifically, it adopts a layered architecture design that organically integrates front-end visual interaction, back-end microservice processing, and integrated lakehouse data management. Through ETL/ELT and CDC technologies, it achieves multi-source heterogeneous data integration, while incorporating OLAP analysis and interactive charting to build report templates and customizable features. Experiments demonstrate that the platform maintains low response latency and high stability even under high-concurrency scenarios, significantly enhancing data processing efficiency and analytical depth.