tencent cloud

Business Intelligence

Product Introduction
Product Overview
Strengths
Product Features
Use Cases
Purchase Guide
Billing Instructions
Purchase Guide
Upgrade Instructions
Renewal Instructions
Quick Start
Data Access
Creating a VPC Data Source
Creating Cloud Data Sources
Creating Proprietary Data Sources
Data Table Creation and Data Processing
Introduction to Data Analysis Basics
Data Table Creation
Data Processing
Data Analysis
Analysis Settings
Interactive Analysis
Ad-Hoc Analysis
Data Visualization
Public Style Setting Instructions
Filter Components
Chart components
Rich Text Component
Other Components
Mobile Terminal Layout Editor
Theme Settings Introduction
Page Layout Introduction
Dashboard Directory Management
Collaboration and Application
Push Channel Management
Report Push
Sharing
Embedding
Self-Service Data Retrieval
Metric Alarms
Data Security
Parameter Construction
Platform Management
Account and Permission Management
Statistics and Analysis
System Settings
Resource Migration
Practical Tutorial
Collection of Optimization Practices
Performing Trend Analysis
Performing Proportion Analysis
Performing Data Analysis with Excel Files
Creating Tables
API Documentation
History
Introduction
API Category
Making API Requests
Project Management APIs
Role APIs
Database Table APIs
Report Embedding APIs
Page Management APIs
Data Types
Error Codes
FAQs
Relevant Agreements
Service Level Agreement
Privacy Policy
Data Privacy And Security Agreement
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Strengths

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Last updated: 2025-09-19 14:51:16

1. Multi-data Source Integration

Seamless interconnection with various data sources of Tencent Cloud, including databases such as MySQL, MariaDB, PostgreSQL, SQL Server, Data Lake Compute (DLC), and cloud data warehouses like Doris, PostgreSql, and ClickHouse. It supports one-click pulling of Tencent Cloud data instances and connecting over the private network without incurring additional traffic charges on the data source side. It also supports API data sources as well as local upload of Excel files.

2. Drag-and-Drop Data Modeling

BI provides convenient data processing capabilities, including multi-table association, field calculation, data aggregation, dictionary tables, and SQL table creation. This enables various types of enterprise personnel to quickly complete data computing and thus configure the required reports. Especially, this allows business personnel to achieve data table association modeling through simple drag-and-drop operations without using SQL statements.

3. Various Visual Analysis Charts and Topic Templates

BI supports over 30 common data chart components, including column charts, bar charts, pie charts, percentage charts, and maps. It supports PPT-like operations and allows users to build refined data analysis dashboards with different styles through drag-and-drop operations. It is built-in with multiple classic themes for rapid switching and reuse, while also supporting custom personalized styles.

4. Collaborative Pushing for Applications

BI supports setting scheduled push tasks. Push channels, including mailbox and WeCom, are supported. The push target and page viewing password can be set.

5. Multi-screen Auto-adaptation and Embedding Support

BI supports multi-screen adaptation for PC, mobile terminals, and TV screens, facilitating system embedding and integration. It is self-adaptive to devices with multiple size ratios and supports embedding into self-built enterprise website H5 applications.

6. Enterprise-Level Data Security Permission Management

BI supports the control of data sources, row/column level permissions of data tables, data table permissions, and report page permissions based on different users/roles. Reports can be embedded into third-party systems with passing parameter authentication, and various types of open APIs are provided.

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