Infographic design for data-driven industries
Introduction
I’ve created scores of “infographics” in the last 30-plus years, for everything from postcards to presentations to posters with highly detailed, data-rich layouts – all of which are designed and illustrated in whatever style the person making the request desires (guided, of course, by any applicable brand requirements, and my extensive knowledge, experience and artistic expertise).
Creating infographics is a time-consuming, but highly rewarding design and illustration process that I absolutely love. A process whose timeline can run from days, to months, depending on various factors, including the quantity of desired elements, the design/illustration style, format and intended use, team dynamics and responsiveness, and the review iterative processes.
Once you have FINAL content (not always an easy thing to get), the visual form and style must be developed, and it must be in synch with the intent, use, content and strategy defined by the person, team and/or company the work is being done for. This is in fact the most crucial aspect of the creation process.
Once the basics have been established, I begin the design and illustration phase. This can be a real challenge with some projects, and is usually the largest portion of the project timeline. It’s common for large, complex infographics to go through dozens of content iterations, as it’s common for those involved to change their minds about what they want – and multiple times. This is also where my skills and artistic capabilities have the greatest value, as my mastery of the graphics applications, and wide range of design and illustrative expertise, allows for the fastest project development—with the highest level of sophistication. Easily the most common response I get from those I’m working with is “Wow, you are FAST!” (or some variation on that)
The illustration component(s) are the most visually important elements. From the overall design, style and concept – to the smallest detail – this is the primary focus of my artistic capabilities (as allowed by the required deadline). It also has the single greates impact on the end-user’s ability to understand the information it represents. Additionally, it has to be beautiful (not a common strategic goal in commercial art).
Designing infographics for the data industry presents a unique challenge: the information is often dense, highly technical, and abstract — yet it still needs to be communicated quickly and clearly to a broad non-expert audience.
In this case study, I break down my design process, showing how raw statistics, concepts, and workflows are translated into clear, engaging visuals. This post covers everything from early concept development through final execution, and explains the design decisions that help complex data become understandable — and usable.
Project goals and design strategy
Data-focused organizations often need visuals that:
- Explain complex ideas quickly
- Support sales, marketing, or education
- Remain accurate while still being visually engaging
From the start, the strategy was to prioritize comprehension over decoration. Every design decision — layout, color, typography, and illustration style — was evaluated based on whether it helped the viewer understand the information more easily.
Research, content acquisition, and planning
Before any design work began, I reviewed the source material provided by the client, which included:
- Technical documentation
- Written explanations of data processes
- Key statistics and metrics
- and, as is not uncommon, scribbles on scrap paper
Visual concept and layout development
Once the content was organized, I began developing the design structure, and image(s) style, based mostly on the end-users direction (guided by my knowledge and experience). I often rely on modular layouts that guide the reader step-by-step, while delivering clear visual hierarchy using size, contrast, and spacing. Simplified iconography and diagrams instead of literal illustrations, are also the most common feature elements.
Design execution and tools used
With the structure in place, I moved into final design and illustration.Typically, I build infographics entirely in Adobe Illustrator, as it’s obviosly the best tool for this type of work as it easily allows for precision, and far easier image edits, especially scaling. Importing stock photography and other custom bitmap images as needed. As I work, I have to carefully choose at what points to provide updates to the requestor(s), being sure to avoid misunderstanding of incomplete elements.
Challenges and design decisions
One of the biggest challenges in data infographic design is deciding what not to show. Including too much information can quickly reduce clarity. In this project, that meant:- Condensing multiple data points into visual summaries
- Using consistent symbols and visual metaphors
- Eliminating unnecessary stylistic elements
Final results and applications
The completed infographics successfully translated complex data concepts into visuals that were:- Easy to understand
- Visually cohesive
- Suitable for multiple platforms
Key takeaways for designers and marketers
If you’re creating infographics for the data industry, here are a few practical lessons from this project:- Start with structure, not style
- Edit content aggressively
- Design for scanning first, reading second
- Use visuals to explain relationships, not just decorative numbers
Ready to bring your data to life?
Whether you need clear visual storytelling, complex data visualization, or custom infographics for reports and presentations, I can help turn your content into compelling visuals that get noticed.