Data Visualization

Our data visualization is simple and impactful.
It presents information that stands out and resonates on digital platforms.
What Is New?
In our digital conversations, we are bringing a new design element into our toolkit, data visualization. In today's digital age, it is not just about the information, it is about how quickly and clearly that inforamtion can be communicated. Our new data visuals are developed to capture attenditon, share our message quickly and make complex data easy to understand. This ensures we are not just sharing numbers - we are telling a story.

To help you create and edit data visuals for use on digital channels, we have developed a PowerPoint tool, available here.
Style Principles
The SmartPath connection
Our data visuals are not standalone elements; they are a seamless extension of our brand identity, with the distinctive style of the SmartPath. Here's how:
  • We are using the brand's strong color to highlight important data points, making them impactful.
  • Directional gradients create depth while adding a sense of movement and direction.
  • Acute angles reflect the SmartPath and our Pinnacle.
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Standing out with simplified data
Our data visualization is simple but powerful. The aim is to cut through the digital noise with visuals that are instantly understood. The focus on clarity creates graphics that inform and engage. It is essential that every chart and every graph resonate with our audience in a meaningful way.

By ensuring that the shapes used within out charts and graphs are bold, simple and robust we can ensure that our message is clear. Using overly complex or find chart and graphs does not work well on many digital channels, particularly social media, requiring more work from the audience to understand them.
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Typographic simplicity
Data visualization relies on the same typographic approach to clarity that we employ on all our digital communications. By using the Helvetica Now typeface on our data visuals, we maintain a consistent and simple standard that enhances readability and understanding.

Headings and labels in white stand out against the vivid colors of our charts. The simplicity of additional text supports the data without overwhelming the graphic. This consistent use of typography ensures our visual communication is direct and unmistakably aligned with the Crowe brand across all platforms.
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Color usage in data visuals
For data visualizations, we use our full color palette. However, we maintain a principle of simplicity by only using a limited range of colors in each chart or graph to help keep the visual bold.

Backgrounds are consistently set in dark indigo, providing a sophisticated backdrop that enhances the visual impact. Text is exclusively white for clarity and sharp contrast. Gradients are subtle and utilized singularly, graduating to transparency to create greater depth.

This careful application of color supports our commitment to clear, impactful communication across all digital and platforms.
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Remember
The story: do not forget to highlight what the data is actually telling the viewer. Make sure the key insights stand out and the narrative is clear.
What to Avoid
Using our data visualization standards effectively is crucial for clear and consistent storytelling on social media. To keep our visuals sharp and effective, here is what to avoid:
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Do not overcomplicate graphs with unnecessary elements. Simplicity helps data visualizations to be clear and understood.
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Do not deviate from the brand colour palette or overuse colours in a single graphic. Use gradients and secondary colour deliberately to ensure clarity.
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Do not incorporate fine lines or small shapes in graphics, they may be illegible on certain devices. Keep to bold, simple shapes for visibility and comprehension.
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Do not use any other background color for charts and graphs other than dark indigo.
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Do not deviate from white text on data visuals. It is enables optimal readability against the indigo background.
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Remember
The platform: always design with the end platform in mind. What looks good on a desktop might not translate well to the smaller, more varied dimensions of mobile devices where most social media content is consumed.