The intelligent analysis feature in DataV-Note uses your natural language input to select appropriate algorithms, letting you analyze data, review the analysis process, and generate a report with one click. This feature significantly reduces data analysis time and labor costs. This topic describes the features and usage of intelligent analysis.
Usage notes
Intelligent analysis automatically selects and applies appropriate algorithms based on your input. As a result, the analysis process may vary slightly between runs, even with the same input description. However, this does not affect the final conclusion. The results displayed on the UI are final.
You can use the generated reports directly or edit them.
This topic focuses on the intelligent analysis cell. For SQL analysis, DataV-Note also provides an AI assistant for generating SQL queries.
Prerequisites
You have created a project and added data. You can add file data or connect to a data source.
To perform intelligent analysis on a result dataset, you must first generate a result dataset from your raw data.
Create an intelligent analysis cell
Open your project for editing.
Log on to the DataV-Note console.
On the tab, hover over the target project and click Edit.
At the bottom of the project editing page, click Intelligent report to create an intelligent analysis cell.
Use intelligent analysis
In an intelligent analysis cell, select the data to analyze. The data can be an uploaded file, a connected database, or a result dataset generated within the project. Describe your requirements in natural language. The platform automatically analyzes the data and outlines its approach, using a combination of SQL, Python, visualizations, and Markdown text to design the report. After the analysis finishes, click Keep results to generate the report. You can use the generated report directly or edit it.
Currently, the Intelligent Analysis Unit supports analyzing only a single data table. The analysis may take 3 to 5 minutes to complete.
Report structure
Each report generated by intelligent analysis includes top-level sections such as Data overview, Data analysis, and Conclusion and value. Subsections may vary depending on the specific algorithms used and analysis dimensions.
Analysis process example
The following example shows how to use intelligent analysis to identify the best-selling product category for an apparel company.
Next steps
After generating the report, you can click Preview & Publish in the upper-right corner of the project editing page to configure publishing options or get a shareable link. For more information, see Preview and publish a report.
For more examples of how to use intelligent analysis, see Use AI to generate an analysis report with one click and Use AI to assist with SQL analysis: A livable community case study.
For more information about the core features of DataV-Note, see User guide.