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What is a Dashboard Design? And Its Types

What is the term Dashboard in Power BI?

BI dashboards are single pages, also known as canvases, in which visualizations tell a story. As a dashboard is limited to one page, it contains only the most important elements of the story. Tiles are visualizations pinned to the dashboard by report designers and appear on the dashboard as tiles. When you select a tile, you are taken to the report page where the visualization was created.

What dashboards have to offer?

Dashboards are the best way to track your business, find answers, and view all of your most important metrics in one place. Dashboard visualizations may be derived from a single dataset or from a variety of datasets, as well as from many reports. Regardless of where the data lives, a dashboard can provide a consolidated view regardless of whether it is on-premises or in the cloud.

Dashboards are more than pretty pictures; they're interactive tools that update as underlying data changes.

The 5 most common mistakes in Power BI dashboard design

First, let's examine the five worst mistakes in Power BI dashboard design and offer some advice on how to avoid them. In order for your dashboards to be understandable and actionable, you must avoid these mistakes. The following are some quick points:

  • Inadequate choice of charts
  • Dashboards with poor labeling
  • A lot of slicers
  • Colors are used inconsistently
  • Variances not shown

  • What are the types of data visualization dashboards?

    Dashboards can be divided into three types:

    Operational Dashboards: As their name indicates, these dashboards are used to analyze daily operations. Think of concrete levels done every day per floor or building to understand the overall amount of work. You need to act quickly on these.

    Dashboards for strategic planning: Top-level executives often refer to strategy as dashboards. Data from KPIs of the business over time is used to create these dashboards. To help make long-term strategies, they summarize the performance of the business.

    Data analytics dashboards: Used for analyzing large amounts of historical data. Trends can be identified, outcomes can be predicted, variables can be compared to benchmarks, and theories can be tested.

    All three types of dashboards can be created with Power BI. Identifying what you want to show is important before we make the dashboards and determine the best practices. Think about what the end-user wants to know and always keep that in mind.

    READ MORE: 7 Best Practices To Make Effective Power BI Dashboards

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