Dashboards

The Dashboards section under the Data module provides comprehensive analytics and data visualization capabilities for monitoring business performance, customer interactions, and operational metrics across your Angoor.ai workspace.

Dashboard Overview

The Dashboard page displays your analytics boards in a structured table format with the following columns:

• Name: Dashboard title and identifier.

• Widgets: Number of visual components included in each dashboard.

• Created At: Date when the dashboard was created.

• Created By: User who created the dashboard.

• Actions: Management options (star, refresh, edit, delete).

Create New Dashboard

Step 1: Click "Create Board" and enter dashboard name and description.

Step 2: Click "+ Add Widget" to add visualizations. Configure data sources, chart types, and display settings for each widget.

Step 3: Use "+ Add Row" to create additional sections and organize widgets into logical groups.

Step 4: Save the dashboard and configure sharing permissions for team access.

Widget Types

Line Charts: Track trends and patterns over time with support for multiple data series. Ideal for monitoring performance metrics, engagement trends, and historical comparisons.

Bar Charts: Compare categorical data and metrics across different segments. Useful for analyzing performance by channel, team, or time period.

Donut Charts: Display proportional data with percentage breakdowns. Perfect for showing channel distribution, conversion rates, and categorical splits.

Single Metrics: Highlight key performance indicators with large, prominent displays. Best for showcasing critical numbers like total interactions or conversion rates.

Funnels: Visualize conversion processes and identify drop-off points in customer journeys. Essential for analyzing multi-step workflows and process optimization.

Widget Configuration

Each widget requires configuration across multiple dimensions to display meaningful data:

• Type of Widget: Choose the visualization format that best represents your data patterns.

• Knowledge Base: Select which data sources power the widget from your connected repositories.

• Filters: Define conditional logic to show only relevant data subsets.

• Metrics: Configure how data should be calculated, counted, or aggregated.

• Visualization: Control appearance including colors, labels, legends, and styling options.

Best Practices

• Organize widgets logically from high-level metrics to detailed breakdowns.

• Use consistent visualization types for similar data categories.

• Choose appropriate widget types based on data characteristics.

• Apply filters strategically to focus on relevant business insights.

Dashboards provide real-time insights into business performance, enabling data-driven decision making across all platform capabilities.