Quick BI provides the Q Insights feature for dashboards. This feature intelligently parses report data, automatically analyzes business trends, and generates key insight reports with a single click to improve decision-making efficiency.
Scenarios
The core use case for Q Insights involves dashboards. By leveraging the power of large language models (LLMs), Q Insights helps users understand the information within dashboards and gain deeper insights.
Scenario description: A data analyst for a sales department needs to review annual sales performance and analyze changes in key metrics across regions, product lines, and customer groups.
Solution comparison: The following table compares traditional data analytics methods with Q Insights for this scenario.
Traditional method (Before)
Intelligent method (After)
Traditional analysis requires manual organization of sales data, which is inefficient and slow.
Tedious data processing: Manually organizing sales data consumes significant time for data cleansing and pre-processing. This creates a heavy burden for foundational work.
Low analysis efficiency: Relying on manual analysis of metric trends is inefficient. Creating charts and investigating anomalies is time-consuming and lengthens the overall analysis cycle.
Difficult to gain deep insights: Drill-down analysis requires frequent switching between reports and navigating through multiple layers. These complex operations make it hard to quickly find the root cause of a problem.
The Q Insights feature intelligently parses data, detects abnormal fluctuations, and automatically analyzes trends. It generates multi-dimensional insight reports that help you quickly understand business dynamics, reduce manual analysis costs, and improve decision-making efficiency and accuracy.
One-click intelligent interpretation: The one-click intelligent interpretation feature automatically performs a comprehensive analysis of annual sales data and quickly generates key insights. There is no need to manually organize data or create charts. This significantly shortens the analysis cycle.
In-depth interpretation of multiple charts: For key metrics, Q Insights provides in-depth interpretation of multiple charts. It automatically detects abnormal data and performs fluctuation attribution analysis to accurately identify root causes. This facilitates efficient decision-making and strategy formulation.
Features
One-click intelligent interpretation: You can perform a one-click intelligent analysis on an entire dashboard or multiple charts. Q Insights automatically detects trends, anomalies, and the causes of fluctuations to quickly generate key insight reports.
Flexible multi-mode interpretation: You can choose from three modes: Intelligent Interpretation, Simple Q&A, and Complex Interpretation. You can also customize the analysis logic and use preset prompts to meet various needs, from high-level overviews to in-depth analysis.
LLM-driven for precision and efficiency: Q Insights integrates LLMs such as DeepSeek and Qwen. It intelligently parses data and supports automatic model selection to improve analysis depth and decision-making efficiency.
Procedure
The procedure for using Q Insights and related reference documents are as follows.
No. | Step | Description |
1 | Enable or disable Q Insights for one or more dashboards. An organization administrator can enable Q Insights in Global Settings. | |
2 | Before using Q Insights, configure the LLM service and preset prompts.
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3 | After enabling and configuring Q Insights, use the feature to interpret and analyze dashboards and their charts. |