Once you create a dashboard, think about the possible ways to make it visually appealing and functional. The most important information must stand out and be clean and uncluttered.
Fig 1.1 A sample Power BI Dashboard
8 Best Practices to design your dashboard correctly
Do your homework- Know your audience While working on your dashboard's appearance, consider the following:- Do you know how your audience uses the dashboard?
- What key metrics help your target audience decide?
- Are there any learned or cultural assumptions that might affect design?
- How much information does your audience need?
Tip: If you aim for mobile phones or tablets, keep the content on the dashboard minimal. While for a larger monitor, your dashboard can have more content.
Your visual storytelling skill
While designing your dashboard, ask these three questions:
- How can I make the life of the dashboard user simpler?
- Can I avoid scrolling bars on the dashboard? \
- Will my dashboard appear too cluttered? If so, what essential information must be on the dashboard?
- Attending a conference or presentation where you can present your dashboard, visual, or report.
- Display on a big screen or projector in the office.
- See it on a small screen.
- Touch the screen or mouse over tiles in a locked mode without opening the underlying report.
Fig 1.2. Power BI Reports in Focus and Full-screen mode
Shift the spotlight to the most vital information.
Imagine all the text and visualizations are the same size. How would you find and focus the most important information on the dashboard?Tip: You can use card visualizations to display crucial numbers prominently. Don’t forget to provide context for your visualization.
Example:
The correct placement of information is the game-changer.
How do you read a document? Top to bottom and left to right, right? So, your highest level of data must be placed at the top left corner, followed by the next level of details as the readers move in the direction of reading.Simplicity at its best! Use the exact visualization for the data.
Avoid having too much variety in your visualizations. The visualizations should be easy to read and understand. Sometimes, a simple graphic visualization is enough. Some data might need more complex visualizations. With titles, labels, and other customizations, you can simplify visualizations.- Alert when using hard-to-read visuals, such as 3D charts.
- Avoid using circular charts like pies, donuts, and gauges. The values are more difficult to compare in circular charts than in bar and column charts.
- Use pie charts for fewer than eight categories and for viewing part-to-whole relationships.
- Use Gauge charts to display the current status of the defined KPI or goals.
- Be consistent with-
- Chart scales on axes.
- Chart dimension ordering.
- Colors are used for dimension values.
- Encode quantitative data carefully. For example, use 2.7 million, not 2,700,000.
- Keep timeframes separate and consistent. For example, you have two charts- One from the last month and the other is a filtered chart from a specific month. Avoid placing them next to each other.
- Keep large and small measures on different scales. For example, if one measurement is in millions and the other in thousands, avoid mixing them up. If you need to mix them up, then; pick a visualization with a second axis.
- Avoid cluttering your charts with unnecessary data labels.
- Sort your charts appropriately. For example, to draw attention to the highest or lowest number, sort your chart by the measure. If you want your readers to quickly find a particular category, then; sort by the axis.