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ChirpChat Natural Language Query Platform

ChirpChat Natural Language Query Platform

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ChirpChat is an intelligent ChatBI product integrated with AI technology, positioned as a "zero-threshold, zero-development, zero-wait" data analysis assistant. It allows users to access data anytime, anywhere through natural language without complex development, significantly improving data analysis efficiency. Covering the entire process of data query, analysis, and visualization, it helps enterprises quickly explore data value.

$ 700.00 700.0 USD $ 700.00

$ 700.00

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    Product Advantages

    Efficient and Convenient: Data acquisition through natural language interaction increases efficiency by over 95%, reducing minute-level tasks to seconds and eliminating the need to wait for report development.

    Zero-Threshold Usage: No need to master SQL or BI tools. Ordinary users can directly analyze data through conversations, lowering learning costs.

    Flexible and Intelligent: Supports basic statistics, trend analysis, TopN ranking, attribution analysis, etc., and automatically generates charts to adapt to diverse analysis needs.

    Safe and Reliable: Provides multi-level permission control (data source, table, field, indicator level) and data desensitization strategies to ensure data security.

    Continuous Evolution: Continuously trains models through user feedback mechanisms to optimize answer accuracy and adapt to business changes.

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    Application Scenarios

    1

    Business User Data Analysis

    Quickly query business data (such as sales, production, procurement, etc.), generate visual results, and assist in daily operational decisions.

    2

    IT Team Report Burden Reduction

    Reduce redundant ad-hoc report development, unify indicator rules, and quickly respond to business data needs.

    3

    Management Decision Support

    Real-time access to multi-dimensional data insights, in-depth analysis of the reasons behind the data, and support for strategic decisions.

    4

    Multi-Industry Data Applications

    Suitable for industries with extensive data query and analysis needs such as photovoltaic, retail, and manufacturing.

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    Case Enterprise

    A world-leading R&D and manufacturing enterprise of photovoltaic materials

    Project Background

    Business expansion led to a surge in data volume. Traditional BI analysis relied on professionals with long development cycles (days to weeks), failing to meet the needs of rapid decision-making.

    Application Effects
    • Data acquisition efficiency increased by 90%, enabling business users to query data directly through natural language.
    • Report development efficiency improved by 60%, reducing the workload of customized development.
    • Saved over 50% of labor costs for report definition and data analysis, lowering the usage threshold.