Difference between dashboard and report in Power BI

In Power BI, both dashboards and reports play an essential role in data analysis and visualization. However, they serve different purposes and are designed for distinct user needs. Understanding the difference between dashboard and Power BI report is key to using the platform effectively and making better strategic decisions.

Key features of a report in Power BI

A Power BI report is an interactive document that provides detailed insights based on a single dataset. It is used to explore and analyze data in depth.

Detailed data analysis

Reports allow users to drill down into data, apply filters, and examine different metrics and dimensions thoroughly.

Advanced interactivity

Users can interact with visualizations through slicers, filters, and bookmarks to customize their view and analysis.

Structured and detailed data

Each page of a report focuses on specific aspects of the dataset, such as revenue, performance, or regional metrics.

Multiple pages or tabs

Reports can include multiple pages, offering a structured view of different segments of the data.

Design customization

Reports offer full control over the layout, color schemes, fonts, and visuals to match branding or user preferences.

Based on a single data set

Reports are built from a single dataset or data model, ensuring consistency and traceability across all visuals.

Sharing and collaboration

They can be published on Power BI Service, enabling users to collaborate, comment, and work on the same report together.

Key features of a dashboard in Power BI

A dashboard is a one-page canvas that summarizes key metrics using visuals pinned from one or more reports.

Overview and summary view of data

Dashboards provide a high-level snapshot of important KPIs, ideal for executives or decision-makers who need fast access to key metrics.

Combine data from different data sets and models

Unlike reports, dashboards can integrate visuals from multiple reports and data sources.

Update in real time or at scheduled intervals

Dashboards are often configured to show real-time data or refresh at defined intervals to reflect current activity.

Limited interactivity

Users can click on tiles to open the underlying reports, but but have fewer options to manipulate data directly from the dashboard.

Single page design

All content is presented on one screen, offering a compact and focused view of metrics.

Access from multiple devices

Dashboards are optimized for web, tablet, and mobile access, making them practical for users on the go.

Security and access control

Dashboards support role-based access, ensuring that users only see the data relevant to their permissions.

What are the differences between a dashboard and a report in Power BI?

Detailed analysis vs. global view

Reports are ideal for deep exploration and detailed analysis, while dashboards are best for presenting a quick overview of key metrics.

High vs. limited interactivity

Reports offer a richer set of interactive tools, whereas dashboards prioritize simplicity and speed.

Updates: manual vs. automatic

Reports may require manual refresh or user interaction, while dashboards are often set up for automated updates.

Deep data analysis vs. real-time monitoring and control

Reports help understand the “why” behind the data, while dashboards are designed to monitor performance indicators in real time.

To better understand how to build a visual overview of your data, see our guide on how to create a dashboard in Power BI.

When to use a dashboard or a report in Power BI for strategic decisions?

The decision to use a dashboard or a report depends on the purpose. Use a report when you need to explore data in detail, detect patterns, and compare metrics across different dimensions. Choose a dashboard when you need to monitor real-time KPIs and get quick insights to support daily decision-making.

Both tools are complementary in a data-driven strategy. Dashboards offer a snapshot of performance, while reports provide the in-depth context needed to make informed decisions. Using both correctly ensures a complete and efficient data analysis process.