Core Insights - The article highlights the integration of business systems with Feishu Multi-dimensional Tables through the Xiaoyi Interconnection Integration Platform, enabling efficient BI analysis by automating data synchronization and providing a user-friendly interface for data-driven decision-making [2][3]. Group 1: Integration Logic - Xiaoyi Interconnection Integration Platform acts as a "transfer station" for data flow, extracting structured data from various business systems (e.g., CRM, ERP) and converting it to match the field rules of Feishu Multi-dimensional Tables [3]. - The platform supports field mapping configuration to ensure core data from business systems (e.g., customer ID, order amount, inventory quantity) accurately corresponds to the columns in Feishu Multi-dimensional Tables, laying a solid foundation for subsequent BI analysis [3]. Group 2: Practical Applications - **CRM Sales Data Integration**: The integration allows real-time tracking of sales performance, eliminating the need for manual Excel exports and improving timeliness [4]. - **Customer Service Ticket Data Integration**: The integration optimizes service quality by automating the synchronization of ticket data, enabling analysis of service efficiency without manual data organization [4]. - **ERP Inventory Data Integration**: The integration reduces inventory risks by ensuring timely updates of inventory data, facilitating collaboration between finance and warehouse departments [5][6]. Group 3: Core Value of Integration - The integration creates a closed loop of data flow from business systems to analysis, making BI analysis accessible to all departments without reliance on specialized tools or technical personnel [5]. - The efficiency of analysis is significantly enhanced, reducing the analysis cycle from "daily" to "hourly" by automating data inflow into Feishu Multi-dimensional Tables [6]. - Enhanced collaboration is achieved as Feishu Multi-dimensional Tables support real-time editing and commenting, allowing departments to share analysis results and communicate promptly about data anomalies [6]. - Decision-making responsiveness is accelerated, enabling management to quickly identify performance fluctuations, service gaps, and inventory risks, thus improving organizational agility [6].