AIDAAIDA · Data Q&A
Let business users ask data directly in natural language. Based on DataHub's unified semantic layer, AIDA converts conversations into auditable SQL, returning charts, summaries and automatic reports, completely eliminating the analysis barrier of 'business users don't know SQL'.
Data Analysis Shouldn't Have a SQL Barrier
Most enterprises' data analysis reality: business users don't know SQL, analysis results scatter in Excel, report compilation takes days, inconsistent data definitions lead to distorted conclusions. AIDA, based on DataHub's semantic layer, lets business users ask data directly in natural language, automatically generates SQL, returns charts and summaries, and delivers analysis reports in minutes.
Solving Three Core Pain Points
From 'people finding data' to 'data finding people', fundamentally changing how enterprises analyze data
NL2SQL + Semantic Layer
Business users don't know SQL
Business users ask in natural language, AIDA automatically converts to precise SQL, no technical barrier.
Unified Metrics & Open Services
Analysis scattered in Excel
Based on DataHub unified metric definitions, all analysis results share consistent口径, no more version conflicts.
Templated Automatic Reports
Slow report compilation
Merge SQL results and LLM narrative to automatically generate structured analysis reports, delivered in minutes.
5-Step Q&A Flow
From natural language to visual report, every step is traceable and auditable
Business users ask in everyday language without needing to know database structure or SQL syntax
AI understands question intent, retrieves relevant metrics and table metadata, determines analysis dimensions
LLM generates auditable SQL based on DataHub semantic layer, definitions fully consistent with metric center
Execute read-only queries on authorized semantic layer, cache results for acceleration, SQL stored for audit
Return tables, chart summaries or automatic reports, support PDF/HTML export
Four Function Modules
Natural Language Q&A
Smart Analysis
Visualization & Reports
Permissions & Auditing
Technical Competitiveness
Consistent Metric Definitions
Deeply coupled with DataHub metric center, avoiding the hallucination risk of 'Chat talking nonsense about data'; all Q&A results are based on a unified semantic layer.
Independent Scaling
Decoupled from AIHub latency, analysis long tasks scale independently without affecting dialogue service response speed.
Triggerable by Agents
Can be triggered through AIHub agent entry, but execution surface is independent, supporting orchestration integration of complex analysis scenarios.
Clear Division with BI
AIDA focuses on conversational analysis and automatic reports; complex drag-and-drop BI is handled by L4 modules, with clear complementary positioning.
Typical Application Scenarios
Sales Data Review
'How did sales compare month-over-month by region last month?' — AIDA automatically generates comparison charts and trend interpretation, monthly report done in 5 minutes.
Operations Metrics Monitoring
'Why has user retention dropped in the last 7 days?' — AIDA attribution analysis locates key dimensions and automatically generates a diagnostic report.
Supply Chain Analysis
'Which SKUs have inventory turnover below industry average?' — Natural language Q&A returns structured analysis results in seconds.
Financial Data Query
'Which departments exceeded budget this quarter?' — Based on unified metric definitions, ensuring financial data is fully consistent with reporting systems.
Landing Scenarios
Typical business scenarios for natural language Q&A and intelligent reports
Real-Time Business Data Q&A
Sales, operations, supply chain and other business users ask in natural language, getting charts and summaries in seconds. No SQL foundation needed, data analysis no longer depends on technical teams.
Intelligent Business Report Generation
Based on templates, automatically merge SQL results and LLM narrative, generating monthly, weekly and special analysis reports in minutes, supporting PDF/HTML export.
Let Business Users Ask Data Directly
Let business users access data directly in natural language, no SQL foundation needed, ask and get answers instantly