Visualizing Data

How data is visualized in dashboards, which display types are available, and how to use time filtering and table views.

All connected and mapped data can be used directly in dashboard elements.

Sandbank dashboards are highly flexible in layout, chart type, and customization.

For broader connector context, see the Integrations overview.

A practical setup order is:

Define one clear question and target per area (for example: "Which measures are driving revenue growth?" or "Which ad campaigns perform best and why?").
Start from a suitable dashboard template instead of building from zero.
Identify core outcome and driver metrics, then customize dashboard structure accordingly.

Structured starter templates built on existing integrations are the fastest way to begin.

Sandbank includes professional templates so dashboards can be created and connected in a few clicks.

Templates follow visualization best practices and include practical metric defaults.

Dashboards created from templates remain fully customizable.

You combine elements on a flexible 24x24 grid. Element size and position are fully adjustable.

Display types support different use cases:

Line chart: Good for up to 10 metrics over time. Use case: identify trends week over week or month over month.

Bar and column charts: Good for non-time dimensions. Use case: compare categories quickly (for example Campaign A vs B).

Pie and donut charts: Good for proportional share of total. Use case: show contribution of one segment to overall result.

Polar and radar charts: Good for multi-dimensional structured comparisons. Use case: compare multiple aspects of one question in one view.

KPI element: Good for one primary KPI as aggregate or current value. Use case: keep critical decision metrics in immediate view.

Table element: Good for detailed combined metric and dimension analysis. Use case: investigate root causes with high transparency.

Text element: Good for context and decisions inside dashboards. Use case: document assumptions, notes, and decisions next to data.

For underlying data logic, continue with Data Structure.

For import and persistence, continue with Storing Data.

A central system for data. Dashboards in just a few clicks. Data can be stored, managed, visualized, and shared with ease.

We are happy to help and advise you, send an email to hi@sandbank.cloud.

Information about roadmap updates and submitting or voting on suggestions is available at /development.