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  • Product Value
  • Product Features
  • Product Advantages
  • Core Capabilities
  • Application Scenarios
Product Value
Agile Response to Query Demands
Data query demand response speed increased by 90%
Ultra-fast Generation of Analysis Reports
Data analysis report production time reduced by 95%
Accurate and Reliable Data Query
Comprehensive task intent accuracy of data query over 92%
Product Functions
Natural Language Interactive Query
Ask questions directly in business language, the system automatically associates data models and generates query results through semantic understanding, greatly lowering the threshold of data acquisition and improving the self-service analysis efficiency of business personnel
Agentic Intelligent Analysis Engine
Agentic automatically plans analysis paths, correlates multi-source data and performs calculations, actively generates analysis reports including key indicators and visual charts, achieving second-level response from "asking questions" to "insights"
Full-link Audit and Data Traceability
All analysis conclusions can be traced back to the underlying data sources and processing logic, completely recording the query, processing and presentation links, meeting data compliance and audit requirements
Model Self-optimization and Learning Evolution
The system can continuously optimize semantic understanding and result recommendation models based on user feedback and historical query data, realizing long-term value accumulation of becoming smarter with use
Intelligent Data Query-
Product Advantages

Multi-source Analysis, Natural Interaction

Integrate large model semantic understanding and multi-source data adaptation capabilities, support access query of various structured data, no professional SQL syntax required, natural language can directly reach data results, breaking data query technical barriers

Planning and Decision, In-depth Analysis

Equipped with Agentic planning and decision engine, support in-depth exploration and data analysis of business, automatically generate decision suggestions, better analysis effect in complex scenarios

Intelligent Error Correction, Precise Empowerment

Built-in semantic error correction and intent completion mechanism, can identify vague questions, data caliber ambiguity and give optimization suggestions, dynamically optimize result presentation combined with historical query habits, realize precise empowerment from "finding data" to "using data well"

核心能力

Intelligent Data Query

Natural Language Interaction

Support describing data requirements in daily language, automatically parse query intent and generate precise data retrieval instructions

Multi-source Data Connection

Seamlessly connect databases, data warehouses and various business systems, realize real-time query and summary of platform data

Semantic Layer Mapping

Automatically map business terms to underlying data models, eliminate technical barriers, and let business personnel "speak with data" directly

Data Insight

Intelligent Analysis Recommendation

Automatically analyze data based on query content, generate analysis results according to dimensions, guide the discovery of data value

Real-time Visualization

Automatically generate visual views such as charts and dashboards from query results, and support instant adjustment of analysis perspectives

Intelligent Anomaly Early Warning

Automatically identify data fluctuations and abnormal patterns, actively push key change attributions and business early warning prompts

Interactive Presentation

Conversational Insight

Gradually clarify requirements and refine query conditions through multi-round dialogue to realize interactive data exploration

Interpretation Traceability

Provide natural language interpretation of the analysis process, key data sources and processing steps are traceable and reviewable

Flexible Result Output

Support one-click export of analysis charts, data briefings or automated data reports for easy sharing and collaboration

Application Scenarios
Rich practical SOPs, industry-oriented and business-focused

Business Self-Service Analysis

For marketing, operations and other business personnel, you can query core business data such as sales, users, channels at any time through natural language without writing code, realizing minute-level data acquisition and insights, and greatly improving decision-making efficiency

Data Team Efficiency Improvement

As a unified query portal for data teams, transform repetitive and temporary data requirements into self-services, allowing data engineers and analysts to focus more on high-value model building and in-depth analysis

Meeting Decision Support

In decision-making occasions such as business analysis meetings and marketing planning meetings, decision-makers can directly ask questions by voice or text, obtain key data and trend charts in real time, make discussions based on real-time facts, and drive precise decisions
Customer Cases
CLIENTS
  • PowerChina Finance Company
  • Beijing Water Resources Planning and Design Institute
Intelligent Data Query-PowerChina Finance Company

PowerChina Finance Company

A licensed non-bank financial institution and comprehensive financial service platform under PowerChina Group Learn more

Wealth development efficiency increased by 300%, business success rate increased by 20%, high-frequency scenario Q&A accuracy 93%

To address the weaknesses of large models in intent recognition, data analysis and script generation in financial scenarios, we have achieved accurate understanding of customer intent, market interpretation and automatic generation of asset allocation recommendations through intelligent Q&A and AI document mining, thereby improving the intelligence level and business development efficiency of wealth management services.

Intelligent Data Query-Beijing Water Resources Planning and Design Institute

Beijing Water Resources Planning and Design Institute

A national comprehensive Class-A survey, design and research institute Learn more

Wealth development efficiency increased by 300%, business success rate increased by 20%, high-frequency scenario Q&A accuracy 93%

To address the weaknesses of large models in intent recognition, data analysis and script generation in financial scenarios, we have achieved accurate understanding of customer intent, market interpretation and automatic generation of asset allocation recommendations through intelligent Q&A and AI document mining, thereby improving the intelligence level and business development efficiency of wealth management services.

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Assist enterprises in upgrading their service and marketing towards digitalization

Intelligent Data Query

Query data easily through conversational interaction, Agentic agents automatically analyze and generate insights, quickly drive business decisions

Product Value

Agile Response to Query Demands
Data query demand response speed increased by 90%
Ultra-fast Generation of Analysis Reports
Data analysis report production time reduced by 95%
Accurate and Reliable Data Query
Comprehensive task intent accuracy of data query over 92%

Product Functions

Natural Language Interactive Query

Ask questions directly in business language, the system automatically associates data models and generates query results through semantic understanding, greatly lowering the threshold of data acquisition and improving the self-service analysis efficiency of business personnel

Agentic Intelligent Analysis Engine

Agentic automatically plans analysis paths, correlates multi-source data and performs calculations, actively generates analysis reports including key indicators and visual charts, achieving second-level response from "asking questions" to "insights"

Full-link Audit and Data Traceability

All analysis conclusions can be traced back to the underlying data sources and processing logic, completely recording the query, processing and presentation links, meeting data compliance and audit requirements

Model Self-optimization and Learning Evolution

The system can continuously optimize semantic understanding and result recommendation models based on user feedback and historical query data, realizing long-term value accumulation of becoming smarter with use

Product Advantages

Multi-source Analysis, Natural Interaction

Integrate large model semantic understanding and multi-source data adaptation capabilities, support access query of various structured data, no professional SQL syntax required, natural language can directly reach data results, breaking data query technical barriers

Planning and Decision, In-depth Analysis

Equipped with Agentic planning and decision engine, support in-depth exploration and data analysis of business, automatically generate decision suggestions, better analysis effect in complex scenarios

Intelligent Error Correction, Precise Empowerment

Built-in semantic error correction and intent completion mechanism, can identify vague questions, data caliber ambiguity and give optimization suggestions, dynamically optimize result presentation combined with historical query habits, realize precise empowerment from "finding data" to "using data well"

核心能力

Intelligent Data Query

Natural Language Interaction

Support describing data requirements in daily language, automatically parse query intent and generate precise data retrieval instructions

Multi-source Data Connection

Seamlessly connect databases, data warehouses and various business systems, realize real-time query and summary of platform data

Semantic Layer Mapping

Automatically map business terms to underlying data models, eliminate technical barriers, and let business personnel "speak with data" directly

Data Insight

Intelligent Analysis Recommendation

Automatically analyze data based on query content, generate analysis results according to dimensions, guide the discovery of data value

Real-time Visualization

Automatically generate visual views such as charts and dashboards from query results, and support instant adjustment of analysis perspectives

Intelligent Anomaly Early Warning

Automatically identify data fluctuations and abnormal patterns, actively push key change attributions and business early warning prompts

Interactive Presentation

Conversational Insight

Gradually clarify requirements and refine query conditions through multi-round dialogue to realize interactive data exploration

Interpretation Traceability

Provide natural language interpretation of the analysis process, key data sources and processing steps are traceable and reviewable

Flexible Result Output

Support one-click export of analysis charts, data briefings or automated data reports for easy sharing and collaboration

Application Scenarios

Rich practical SOPs, better understanding of the industry and business

    Business Self-Service Analysis

    For marketing, operations and other business personnel, you can query core business data such as sales, users, channels at any time through natural language without writing code, realizing minute-level data acquisition and insights, and greatly improving decision-making efficiency

    Data Team Efficiency Improvement

    As a unified query portal for data teams, transform repetitive and temporary data requirements into self-services, allowing data engineers and analysts to focus more on high-value model building and in-depth analysis

    Meeting Decision Support

    In decision-making occasions such as business analysis meetings and marketing planning meetings, decision-makers can directly ask questions by voice or text, obtain key data and trend charts in real time, make discussions based on real-time facts, and drive precise decisions

Customer Cases

  • PowerChina Finance Company
  • Beijing Water Resources Planning and Design Institute

PowerChina Finance Company

A licensed non-bank financial institution and comprehensive financial service platform under PowerChina Group

Wealth development efficiency increased by 300%, business success rate increased by 20%, high-frequency scenario Q&A accuracy 93%

To address the weaknesses of large models in intent recognition, data analysis and script generation in financial scenarios, we have achieved accurate understanding of customer intent, market interpretation and automatic generation of asset allocation recommendations through intelligent Q&A and AI document mining, thereby improving the intelligence level and business development efficiency of wealth management services.

Learn more

Beijing Water Resources Planning and Design Institute

A national comprehensive Class-A survey, design and research institute

Wealth development efficiency increased by 300%, business success rate increased by 20%, high-frequency scenario Q&A accuracy 93%

To address the weaknesses of large models in intent recognition, data analysis and script generation in financial scenarios, we have achieved accurate understanding of customer intent, market interpretation and automatic generation of asset allocation recommendations through intelligent Q&A and AI document mining, thereby improving the intelligence level and business development efficiency of wealth management services.

Learn more
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