Businesses require various reports to track their activity and analyze specific parts of their operations. Creating meaningful and actionable reports, on the other hand, is a challenging task. Power BI dashboards design considers UX and the data demands of users needing access while combining these needs with broader corporate goals. It’s not only about presenting numbers; it’s also about determining what to highlight and how to do it effectively.
Best Practices for Designing Power BI Dashboards
Now that you’ve developed a dashboard and added some tiles consider making it visually appealing and, most importantly, practical. Practicality generally implies emphasizing the most critical information while keeping the layout simple and uncomplicated. In addition to layout considerations, you’ll find some recommended best practices for developing Power BI Dashboards and reports below:
1. Knowing Your Audience
Remember that a dashboard is only an overview, a single location to monitor the present state of the data. It is built on underlying reports and databases containing a wealth of information. A Power BI Dashboard allows users to explore reports on numerous levels.
Questions such as where best to display the dashboard are based on the form factor; however, in a mobile/tablet-driven world, dashboards with fewer tiles are more readable.
2. Innovate With Advanced Analytics
Innovation is power, and the power of BI is no different. Aside from the primary and well-known power BI functions, there are several technical capabilities that only experts are aware of. For example…did you know that you can use Google Analytics’ time filter in Power BI?
Advanced Analytics from Payoda
3. Contemplate The Flow Of Data
At this stage, to properly create insightful Power BI dashboards, users should have been polled on the following questions:
- What information should be presented?
- Where should the logo be placed?
- Where will the client be concentrating their attention?
- Where should the slicers be placed and;
- When and how should the graphs be used?
In addition to the questions above, one also needs to pay attention to the importance of proximity, similarity, and enclosure.
Proximity refers to using components based on use case scenarios noting their location and proximity. Similarity denotes grouping related textual styles and tones together. And finally, enclosure signifies denoting divisions by a visual border or concealment to make them a group.
4. Visualization in Power BI Dashboards
As previously noted, the human mind digests visual info more effectively than text. As a result, while creating an effective dashboard, it’s vital to present data in a way that resonates with your audience. The list of items below will help you decide what type of graph to use based on the five types of data usage, which are:
The entire motivation behind dashboards is to improve on presenting insightful and actionable data and not to overpopulate it with extravagant, unnecessary diagrams, which may cause data overload.
5. Single Screen Utilization
Because dashboards are intended to provide critical information at a glance, it is more efficient to have all tiles on one screen. One might still have questions like “Can you get rid of the scroll bars on your dashboard” or “Is the dashboard overcrowded”? Removing anything but the essential information makes the screen easier to read allows data to be interpreted and acted upon. Experts also recommend using the full-screen mode to reduce distractions when viewing dashboards.
6. Colour Utilization
Power BI Dashboards are typically constructed with a lighter foundation for the adjustability it provides tones. However, as the number of people suffering from eye challenges based on viewing computer screens grows, hazy foundations are becoming more popular due to their comfort. It has been proven that colors with more extraordinary contrasts induce eye strain. Rather than having solid contrasts on screens, try limiting contrast by incorporating colors in the midway range by varying immersion and brilliance.
7. Data Clutter
With the enormous amount of data available, some IT organizations inadvertently create power BI dashboards that try to capture a broad range of insights, making them ineffective. Even though proximity, similarity, and enclosure standards, progression, and association are significant in avoiding data chaos.
8. Power BI Dashboards Testing
When the focus is too concentrated on aesthetics, sometimes there’s a tendency to overlook the functionality of its dashboard. To avoid this problem, ensure the project plan provides ample time for end-user testing.
The key to creating the most productive Power BI dashboards is to consider the needs of end-users first. We recommend first reading through our many use cases on this subject to understand various approaches to universal problems. Whatever the challenge, Payoda offers Business Intelligence consulting services to support the development of custom applications and functional dashboards.
Alternatively, we can also assist you if you are looking to install off-the-shelf business intelligence solutions such as Tableau or Qlik. Either way, we look forward to hearing from you regardless of your strategy.