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How to Design a Dashboard to Communicate Business Insights Clearly
In my previous blog, we discussed how to prepare data in six easy steps using Vermont’s public road crash data. In this follow-up, we’ll work with the same dataset and focus on the next step: laying out and designing a Power BI dashboard.
At the core of this process are three guiding pillars: clarity of insights, user-friendliness, and visual hierarchy.
The first pillar pushes us to choose the right visuals and remove anything that distracts from the message. The second reminds us that dashboards should invite exploration, not intimidate or overwhelm. The third helps us organize visuals and texts, so insights unfold in a logical, intentional sequence.
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The Objectives
We continue with the same dataset we cleaned and transformed previously, which is now ready for visualization. Still, it’s worth reiterating something fundamental: always be clear about the goal of the project.
This is especially important in visualization, where insights are meant to be extracted from data — not merely displayed. As mentioned in the previous blog, those insights should help address specific business questions or problems.
