For example:

┌─────────────────┐

│ TOTAL SALES │

│ ₹12.5 Cr │

└─────────────────┘

Other examples:

Total Profit

Total Customers

Total Orders

Average Order Value

A dashboard should make its most important KPIs easy to find.

🔹 17. Slicers

Slicers allow users to interactively filter a report.

For example:

Region:

[All ▼]

Year:

[2026 ▼]

Category:

[Electronics ▼]

Selecting a region can update multiple visuals on the report page.

This is one of the features that makes Power BI dashboards interactive.

🔹 18. Filters

Power BI provides filtering at different levels.

Common concepts include:

Visual-level filter

Affects one visual.

Page-level filter

Affects visuals on a particular page.

Report-level filter

Can affect the entire report.

Understanding filter behavior becomes extremely important when building complex reports.

🔹 19. Dashboard vs Report

These terms are often confused.

A report can contain multiple pages with interactive visuals.

A dashboard in the Power BI Service is a single-page canvas made from pinned tiles.

In everyday conversation, people sometimes use "dashboard" to mean any Power BI report page.

But technically, they're different concepts.

🔹 20. The Real Purpose of a Power BI Dashboard

A good dashboard should answer business questions.

For example:

Sales Dashboard

«How much are we selling?»

«Which regions are performing best?»

«Which products drive revenue?»

«Is revenue increasing or decreasing?»

«Where are we underperforming?»

The dashboard should make these answers easy to discover.

🔹 21. Common Beginner Mistakes

Avoid:

❌ Adding too many visuals

❌ Using every available chart type

❌ Creating unnecessary colors and decorations

❌ Building dashboards before understanding the data

❌ Ignoring relationships

❌ Creating everything as calculated columns

❌ Using measures incorrectly

❌ Showing numbers without business context

A professional dashboard should be:

Clear + Accurate + Interactive + Business-focused

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