User guide

更新时间:
复制 MD 格式

DataV-Board 7.0 (data dashboard) provides a complete What-You-See-Is-What-You-Get (WYSIWYG) toolchain. It supports various data sources, such as static data, CSV files, APIs, and databases such as RDS for MySQL. You can use its graphical interface to easily build applications such as PC dashboards and mobile dashboards. This meets the needs for real-time data monitoring and decision analysis in various business scenarios, including business analysis, presentations, business monitoring, risk alerts, geographic information analysis, and urban command centers. This topic describes the core workflow of DataV-Board 7.0.

Background information

DataV-Board 7.0 supports the creation of PC and mobile dashboards. You can choose the dashboard type based on your business scenario.

  • PC dashboards:

    • Suitable for visualization applications that are accessed from a PC.

    • They support more interface elements and widgets, multi-column layouts, and complex features.

  • Mobile dashboards:

    • Suitable for visualization applications that are accessed from mobile devices.

    • They support fewer interface elements and widgets, single-column layouts, and simpler features.

Prerequisites

  • The DataV-Board 7.0 service is activated.

  • Prepare the business data that you want to ingest into DataV-Board 7.0. You must store the data in a data source that is supported by DataV, such as an RDS for MySQL database.

  • (Optional) If you use a Resource Access Management (RAM) user to create a dashboard, add the user to the relevant workspace and grant the Developer role. For more information, see Member Management.

Workflow

You can follow the workflow below to build a data dashboard.

image

Preparations

Complete the following preparations before you create a data dashboard.

(Optional) Step 1: Create a workspace

A workspace is the basic unit for project development and management in DataV-Board 7.0. After you activate DataV-Board 7.0, the system creates a default workspace that you can use directly. You can also create multiple workspaces to manage different projects and achieve project fencing. For more information, see Create a workspace.

Note

Workspaces are isolated from each other. For each workspace, you can set dashboard and widget quotas and manage member permissions. For more information, see Configure a workspace.

(Optional) Step 2: Create a project group

Project groups are used to categorize data dashboards, including PC and mobile dashboards. After you activate DataV-Board 7.0, the system automatically creates a group named Ungrouped. New dashboards are placed in this group by default. You can create different groups based on your business needs to manage related dashboards. For more information, see Project Group Management.

Step 3: Prepare data

DataV-Board 7.0 supports data ingestion from various sources, such as static data, CSV files, APIs, and databases such as RDS for MySQL. You must first create DataV data sources for your data. This allows DataV to access the data through these sources for display on dashboards.

Note
  • Static data can be added directly to a dashboard without creating a data source.

  • For information about the data source types supported by DataV-Board 7.0 data dashboards, see Data Source.

  • You can also create a dataset from a local data table or a data table in an existing data source for display on dashboards. Currently, datasets can be created only from RDS for PostgreSQL, RDS for MySQL, MySQL-compatible databases, Hologres, or AnalyticDB for MySQL.

  1. Configure a data source whitelist.

    To ensure that DataV can access your data source, you must add the IP address of DataV to your data source's whitelist before you create the data source. For the IP addresses for different regions and network types, see Configure a database whitelist.

  2. Create a data source. For more information, see Data Source.

Create and display the dashboard

Step 4: Create a data dashboard

Choose a creation method based on your needs:

  • Create from a built-in template: The platform provides various built-in scenario templates that you can use directly.

  • Create from a blank dashboard: Use a blank canvas to design the dashboard content as needed.

  • Generate with AI: Describe your requirements in a conversational interface. The AI assistant will design a dashboard that meets your needs.

    Note

    Only PC dashboards can be created using AI.

Step 5: Edit the data dashboard

Data dashboards consist of various widgets. You must add the required widgets to the canvas and edit them. This process includes configuring widget styles and connecting them to business data for display. DataV-Board 7.0 provides default built-in widgets. If the built-in widgets do not meet your business needs, you can create custom widgets using widget packages, blocks, design resources, or by creating 3D cities.

Note
  • For more information about canvas editing operations, see PC Canvas Editor and Mobile Canvas Editor.

  • PC and mobile dashboards support different types of widgets and data sources, and their configurations may vary. For specific details, refer to the user interface. The following steps use a PC dashboard as an example. Although some interface terms may differ, the configuration logic for mobile dashboards is similar.

  1. Edit the widget style.

    Add the target widget to the canvas. In the right-side panel, on the Style tab, configure the widget's style, such as color, chart margins, and coordinates. For more information, see PC Widgets and Mobile Widgets.

  2. Configure the data source.

    Click the widget. In the right-side panel, on the Data Source tab, follow the on-screen instructions to add the corresponding data source. This connects the widget to the data source for data display.

  3. (Optional) Advanced configuration.

    Click the widget. In the right-side panel, on the Advanced tab, configure the widget's global variables or interaction events.

    • Global variables: Define global parameters that can be associated with target widgets. This enables parameter passing and interaction between widgets, such as chart filter interactions and custom fields.

      Note

      Global variables can be configured only for PC dashboards.

    • Interaction events: Define interactions between specified widgets when an event is triggered. For example, in a column chart, you can import data from a field when the legend is clicked.

  4. (Optional) Blueprint configuration.

    You can use the Blueprint Editor to define interaction relationships and behavior logic between widgets using visual connections. For example, you can merge or distribute data between different widgets.

Step 6: Publish and share the data dashboard

  1. Publish the dashboard.

    After you finish editing the data dashboard, you must publish it. Publishing generates an access link for the dashboard. For more information, see Publish a data dashboard.

    Note

    After each publication, you can use Snapshot Management to save the current published content as a snapshot. You can later use a snapshot to revert the dashboard to a previous version for editing.

  2. Share the dashboard.

    After the data dashboard is published, you can share its QR code or link with other users. You can also set an access password, enable token validation, and configure an access whitelist. For more information, see Share Information.

Step 7: Display the data dashboard on a screen

After the data dashboard is published, you can go to the Visualization Studio to display the dashboard on a screen.

  1. Create a demo plan.

    Create a demo plan to arrange the data dashboards that you want to display in the desired order for a presentation. For more information, see Create a plan.

  2. Display the demo plan on a screen.

    After the demo plan is created, you can display it on a large screen as a slideshow. You can set an access password and configure a carousel effect for the display. For more information, see Display a plan on a screen - Web version and Display a plan on a screen - Client version.

What to do next

After you understand the workflow of DataV-Board 7.0, you can refer to the following topics for hands-on practice.