The intelligent data insight analysis assistant helps users build and modify dashboards intelligently, and assists users in interpreting dashboards. This article introduces how to use the analysis assistant's intelligent dashboard features to build and modify dashboards.
The intelligent dashboard building feature of the intelligent data insight analysis assistant includes intelligent building and intelligent modification. Users can describe their dashboard building and modification requirements in natural language, and the intelligent dashboard can quickly generate dashboards, improve building efficiency, optimize dashboard layouts, and enable agile and efficient data insights.
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This feature is a sub-feature under the value-added module "Analysis Assistant" and is disabled by default. To use this feature, contact Volcano Engine technical support. After purchasing and enabling this feature, you can use it.
Go to the dashboard page, select the dashboard for intelligent building, and click "Edit".
You can click "Intelligent Build" in the upper right corner of the dashboard editing page or the input box at the top of the canvas to enable intelligent building.
On the first screen of intelligent building, users can interact using natural language in the dialog box to quickly build a dashboard, or select "Add chart" from the left toolbar to initially build a chart and then use the intelligent building feature to optimize the dashboard. The first screen also provides many demo videos, which users can click to view.
After enabling intelligent building, the top of the dialog box on the right provides input examples for chart modification, chart generation, and layout adjustment. Users can click to quickly experience the intelligent building effect.
In the dialog box, enter the chart and the period-over-period or year-over-year information you want to add to the chart.
Based on existing charts, enter in the dialog box the specific field, type, scope of application, display method, and other information for adding a global filter to the dashboard, then press Enter to send it to the intelligent dashboard.
For a single chart, you can switch dimensions/metrics.
Switch dimension: For example, enter in the dialog box "Switch the dimension of the @xxx chart to merchant province."
Dimension before switching: Business date | Dimension after switching: Merchant province |
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Switch metric: For example, enter in the dialog box "Switch the metric of the @xxx chart to redemption rate."
Metric before switching: Redeemed GMV | Metric after switching: Redemption rate |
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You can switch chart types for a single chart. For example, enter "Switch the chart type of @xxx to bar chart."
Chart type before switching: Line chart | Chart type after switching: Bar chart |
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Click "Edit chart" to go to the "Visual query" page to edit a single chart. When entering the chart name in the input box at the top of the canvas, chart names will be intelligently recommended and can be quickly filled in by pressing the Tab key.
You can also click the chart, then click "Style" in the chart configuration area on the right. When modifying the chart name, you can also use the intelligent chart name recommendation feature.
The layout can be adjusted so that each chart occupies one row. For example, enter "Adjust the layout so that each chart occupies one row."
Layout before adjustment: Four charts in a 2 * 2 distribution | Layout after adjustment: Four charts, each occupying one row |
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The layout can be adjusted so that each row contains two charts, equally divided. For example, enter "Two charts per row, equally divided layout."
Layout before adjustment: Four metric cards in four columns | Layout after adjustment: Four metric cards in a 2 * 2 distribution |
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The layout can be adjusted to split charts into two Tab components. For example, enter "Split core metric trends and core metric distribution into two Tab components."
Layout before adjustment: One Tab component | Layout after adjustment: Two Tab components |
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You can use the "@" symbol to select a chart or dataset as the operation object.
You can use the "/" symbol to select command templates, including those saved in the "Command template" library and historical commands.
Steps to create and use command templates:
Click "Command template" above the input box to enter the command template library.
Click the "Create" icon to create a new command template.
Enter the relevant parameters to create a command template.
Parameter | Description |
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Template name | A brief description of the instruction template's function, which will be displayed on the homepage of the instruction template library to help users intuitively understand the template's purpose. |
Scope of disclosure | Set the visibility scope for the command template; options include only yourself or the current project.
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Command content | The core content of the command template is the stored command template, which can be called directly. |
Add as a quick command | After setting, you can see the "Quick Command" widget in the left widget area. Click it to use this command template directly for intelligent dashboard building.
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Users can also hover over a command and save it directly as a template.
Use command templates. You can enter "/" in the dialog box to invoke a command, or go to the "Command Template" library and click the "Add to Dialog" button to add the command to the dialog box. Additionally, the system records how many times each command is used, and all command templates are sorted in descending order by usage count. If the user has added commands to favorites, those will be displayed first.
Users can also add command templates to favorites and filter them by "My Favorites" or "Created by Me". For templates the user created, they can edit, add to quick commands, or delete them. For templates created by others, users can view template details or add them to quick commands, but cannot edit or delete templates created by others.
When using the smart build feature, in addition to selecting the target component using "@", users can also select a component directly on the dashboard. After selecting a component, a "Reference" button will appear in the upper right corner of the component. Clicking this button will automatically add the component to the list of operation targets for the smart build feature.
To undo changes made by the smart build feature that do not meet expectations, or to revert the current modification, click the "Rollback" button after the smart build feature completes an operation. This will undo the current step and return to the previous step.
The smart build feature provides multiple model configurations, allowing users to switch between different models based on the complexity and stability requirements of the build task, in order to quickly and reliably build dashboards.
Model | Introduction |
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GPT-4o | Better service stability |
GPT-4.1 | Better performance for complex tasks, but average service stability. For simple tasks, it is recommended to use GPT-4o. |
Doubao-Seed-1.6 | Self-hosted model, more stable service but relatively slow. Suitable for both simple and complex tasks. |
The quick filter feature is available on both the dashboard editing page and the visual query page.
Users can enter natural language instructions in the filter box (for example, "show data of September only"), then press the Enter key or the send button. The system will automatically parse the instruction and generate the corresponding filter conditions.
The generated result is as follows. Users can click Filter Settings to further adjust this filter or continue to add other filter criteria.
In addition, the system will recommend filter criteria to users based on the current chart configuration and other filter criteria in the dashboard. Users can click filter criteria as needed or press the Tab key to insert the recommended filter criteria.
(1) All content output by this service is generated by artificial intelligence models.
(2) This feature is intended only for customers' internal, proprietary business, and personal use. Customers are not allowed to provide generative artificial intelligence services to the public through the Analysis Assistant.
(3) This feature is a value-added module and supports both SaaS and on-premises deployment versions. To purchase or try this feature, please contact sales personnel for consultation.
(4) Currently, the AI capabilities of DataWind Intelligent Data Insight support the following types of datasets: