IntelliQuery
Use casesUnlock the value of data across a wide range of business scenarios
The Sales Director can directly ask questions (such as, “Which product had the highest sales in East China yesterday?”) and get immediate answers, without needing to search for specific reports. This enables zero-threshold, real-time daily business insights.
For operations personnel looking to analyze the effectiveness of a campaign, there's no need to request an analyst. Simply describe the new metric (e.g., 'Calculate the 7-day repurchase rate for users') and get results quickly, without scheduling or waiting.
When managers have questions during meetings, they don't need to wait for subordinates to find the data. They can simply ask (e.g., “What is the current real-time number of visitors on the website?”) and immediately get key data to support quick decision-making.
Frontline employees don't need to learn how to operate a reporting system or understand concepts like metrics, events, and dimensions. They can simply ask questions in natural language (e.g., “How much of my sales target have I achieved this month?”) and get direct answers, achieving true 'plug-and-play' functionality.
- Semantic Understanding
Automatically extract key information such as metrics and dimensions from the issue.
- Multi-turn dialogue
Supports contextual understanding, providing a smooth follow-up conversation experience
- Evaluation of Statistical Confidence
Automatically provide a confidence evaluation of the statistical results, and offer 'points of concern' or 'other suggestions' to make the results more reliable.
Frequently asked questions
- What is the accuracy rate of Smart Q&A?
- The system achieves over 90% accuracy on the test set. When the system's confidence in the results does not meet the internal threshold, it not only outputs the statistical results but also proactively reveals its uncertainty and shows the full reasoning chain to the user. At the same time, the system clearly indicates information that is not fully certain and potential biases (e.g., the selected metrics or dimensions do not perfectly match the query intent), ensuring that users have a comprehensive understanding of the results.
- What scope does Intelligent Q&A currently cover?
- Leverage metadata such as events, properties, tags, and groups within the current space to obtain metric statistics. Quickly answer questions related to single events, event properties, and composite metrics formed by their combinations. Temporal metrics like retention rates and funnel conversions are also being continuously updated.
- Which large model does Intelligent Q&A use? Does it support integrating with custom large models?
- The SaaS version is integrated with the mainstream large-scale model services currently supported by the platform; the on-premises deployment version supports integration with the customer's own large-scale models.
- What is the relationship between SmartQ and DeciAGI?
- GrowingIO Smart Inquiry is one of the core application capabilities provided by DeciAGI for enterprise data analysis scenarios. Leveraging the data and analytics capabilities of GrowingIO Analysis Cloud, it enables business users to complete metric queries,口径识别 (note: '口径识别' needs clarification or a specific term in English), and result analysis through natural language. DeciAGI further covers various data intelligence scenarios such as business analysis and diagnostics, user insights, operational strategy generation, and activity reviews, supporting customizable intelligent applications, making it a comprehensive platform for data intelligence applications.