Guandata ChatBI

LLM-Powered Natural Language Data Q&A

Guandata ChatBI is an intelligent data Q&A product built on large language models (LLMs). It provides capabilities such as intent recognition, knowledge retrieval, question understanding, data querying, and visualization generation. Users can ask questions in natural language to obtain data analysis results and make agile decisions.
Guandata ChatBI
Business Pain Points
Bridging the Gap Between Data Supply and Demand
Slow data lookup and limited flexibilityExecutives
Analysis of Core Metrics Lacks Flexibility, Failing to Support On-the-Fly Changes in Granularity and Dimensions During Business Reviews
Analysis is difficult and the barrier is too highFrontline Business Teams
Data analytics tools have a high learning barrier, making it difficult for business teams to retrieve and analyze data independently. They have to rely on low-efficiency development from IT teams.
Knowledge fragmentation makes it difficult to consolidate and retain insightsData Teams
Enterprise business knowledge and data definitions are scattered, making it difficult to consolidate and apply them consistently across departmental analysis scenarios.
Typical Scenarios and Value
Zero-barrier, self-iterating conversational data analysis
Executive Analysis Reports
Generate data analysis reports in minutes without relying on data analyst teams
Shift from asking people to asking the system, with self-service Q&A
Frontline Agile Data Retrieval
Flexible and convenient Q&A queries, with Self-service Data Retrieval of complex metrics
Data retrieval shifts from daily scheduled development to minute-level response
Knowledge sharing for data teams
Unify and consolidate enterprise knowledge to improve business analysis efficiency
Focused knowledge base maintenance to improve business query accuracy
Product Architecture
Scenario-based conversational BI powered by LLMs
Product Highlights
Make data analysis as simple as chatting
Ask data questions in natural language for flexible and trustworthy analysis

Ask data questions in natural language for flexible and trustworthy analysis

Conversational Analytics: Natural Language Access to Trusted, Reliable Insights
Cross-Table Querying: Ask Questions Across Multiple Data Sources with Automated Inter-Table Computation
Intelligent Guidance: Proactively Recommend Related Analyses to Enhance Depth and Efficiency
Seamless Revisit: Save Important Insights and Trace Back Past Sessions Instantly

Low-barrier knowledge base setup with lightweight, personalized operations

Knowledge access: BI data assets, historical enterprise data-retrieval SQL, documents, and other business knowledge
Scenario-oriented analytics through flexible business theme configuration
Q&A accuracy: the model continuously learns and improves, with overall accuracy above 90%
Conversation tracking: actively learn from user Q&A behavior to continuously optimize Q&A quality
Low-barrier knowledge base setup with lightweight, personalized operations
Efficient analysis across devices with guaranteed data privacy control

Efficient analysis across devices with guaranteed data privacy control

Multi-device integration and adaptation: flexible mobile data Q&A and OA integration for more efficient business collaboration
Data privacy and security: local storage and computation for full data sovereignty
Data permission system: strict row- and column-level permission control with personalized security safeguards
Customer Stories
From BI practice to AI innovation: building a “Data Q&A GPT”
By combining large language models with core BI capabilities, Guandata ChatBI learns enterprise business knowledge, including table knowledge, business logic, Q&A knowledge, and insight knowledge, to enable conversational data analysis.
Customer Pain Points
Guandata Solution
Value and Results
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