3.3.3 Custom Dashboards

3.3.3 Custom Dashboards

Interactive Visualizations

• Projections and Forecasts:

  • Display predicted yields using line charts, bar graphs, and area charts.

  • Include confidence intervals to indicate prediction uncertainty.

• Heatmaps and Risk Assessments:

  • Visualize risk levels across different assets or pools.

  • Highlight areas of high opportunity or caution.

• User-Friendly Interface for Data Interpretation:

  • Implement tooltips and interactive elements to provide additional context.

  • Use color coding and visual cues to enhance comprehension.

Personalization

• Tailoring Dashboards to Individual Preferences:

  • Allow users to select which metrics and assets to display.

  • Enable custom layout configurations and themes.

• Saving Templates for Recurring Analyses:

  • Provide the option to save and load dashboard configurations.

  • Facilitate sharing of templates within the community.

Technical Implementation

• Frontend Technologies:

  • Utilize frameworks like React or Vue.js for responsive design.

  • Implement WebGL or D3.js for advanced visualization capabilities.

• Backend Integration:

  • Ensure seamless communication between the frontend and AI models via APIs.

  • Optimize data retrieval and rendering times for real-time interaction.