Quick BI
The data analysis product of Lingyang, a wholly-owned subsidiary of Alibaba, provides drag-and-drop self-service analysis and large model-driven intelligent data query capabilities. Officially, it has been selected in the Gartner Analytics Platform Magic Quadrant for consecutive years, targeting enterprise business analysis scenarios.
Updated: 2026-10-26
What is Quick BI?
Lingyang is a wholly-owned subsidiary of Alibaba, offering a comprehensive suite of digital products and data element services, with Quick BI being its business analytics product. According to its official website, Quick BI has been named a Leader in the Gartner Magic Quadrant for Analytics and Business Intelligence for consecutive years, highlighting its drag-and-drop functionality and the integration of AI with BI. For enterprises already within the Alibaba Cloud or Alibaba data ecosystem, such products incur relatively lower transition costs for data integration and can get off the ground more quickly.
Who is it for?
- Enterprise business analysts: Need to self-service routine business analysis and no longer rely on the data team's schedule for data extraction.
- Data governance and platform teams: They need to integrate data construction, governance and analytical consumption to reduce redundant construction and discrepancies in metrics and specifications.
- Retail and consumer goods enterprises: Those who focus on the synergy of integrated capabilities such as channel data governance, user operation, and intelligent customer service.
- Enterprises already using the Alibaba Cloud ecosystem: They hope to reduce cross-platform data migration and lower the overall cost of integration and operation and maintenance.
Key features
6Drag-and-Drop Self-Service Analysis
The official claims that drag-and-drop operations allow business personnel to easily get started with data analysis and reduce reliance on professional modeling and SQL skills.
Large Model-Driven Intelligent BI
The official positions the product as an intelligent BI for the large model era, offering intelligent data querying and analysis assistance capabilities, and states that it has passed the China Academy of Information and Communications Technology (CAICT) special capability evaluation for large models.
Support for data construction and governance
The data platform under the same system integrates Alibaba's data methodologies and supports multi-cloud and multi-engines, enabling enterprise-level data construction, governance, and consumption.
Intelligent User Operation
The related products provide capabilities such as high-intention crowd identification, AI-generated content materials, and multi-channel outreach, which are used for the strategic closed loop in operation scenarios.
Intelligent Customer Service Capability
The official claims that its customer service product is the top choice for enterprises in the era of large models for intelligent customer experience, and it provides knowledge base deployment and question-and-answer capabilities.
Multi-industry Service Experience
The official claims that its products and services have been used by tens of thousands of enterprises across more than twenty industries, with solutions accumulated in scenarios such as retail, manufacturing, and finance.
How to use Quick BI
- The accuracy of intelligent data query depends on the quality of underlying data and indicator definitions, so it is recommended to complete basic governance before enabling conversational analysis.
- First, conduct trials in business domains with clear metrics and definitions, such as sales or channel analysis, and expand the scope of use only after verifying the reliability of the results.
- For scenarios involving user data such as operations and customer service, it is necessary to assess the requirements for personal information protection and clarify the boundaries of data usage and retention.
- When selecting a product, evaluate similar products using the same set of real data and avoid making judgments solely based on the promotional metrics provided by vendors.
- When selecting a data analysis tool, prioritize data source connectivity first and then AI capabilities: whether it can smoothly connect to your existing databases, data warehouses, and tracking systems determines whether it will ultimately be put to use or left idle.
Traffic & popularity
Data month Sep 2026
Quick BI receives about 508.3K visits per month and ranks #69,128 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct46.3%
- Referrals42.1%
- Search8.0%
- Social3.3%
- AI assistants0.3%
Top countries
- China82.3%
- Malaysia14.6%
- Singapore1.3%
- Hong Kong, China1.0%
- United States0.6%
Estimated from third-party traffic data.
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