The best approach is to look at the subject from their point of view and ask a few simple questions before starting the work: - Why are these data being shown to them? • Why should they pay attention, and what is our purpose in presenting these data to them? - Is presenting these data the first step in a presentation? Should it be shocking and astonishing, or is it meant for the final stage, for review and summarization? - What characteristics does our non-technical audience have? In terms of gender, age, culture, and so on? Finding accurate answers to these questions can be very helpful in creating an effective and purposeful data visualization for a non-technical target audience.

To explain complex data to non-technical clients - (1) I focus on their goals, and use simple, relatable terms. (2) Visuals play a key role - I use charts to highlight key insights and build a story around the data to make it relatable and actionable. (3) Regular check-ins help ensure understanding and adjust based on feedback. The goal is to make the data meaningful.

When I need to present complex data to non-technical clients, I focus on clarity, relevance, and impact. I avoid technical terms and instead tell a story that connects the data to business outcomes. I use clean visuals to highlight key points and limit the number of charts or metrics shown at once. My goal is to make the insights actionable, not overwhelming. I also ask myself a few key questions before every presentation to make sure it resonates with the audience.

Here’s how to keep it simple: * Tell short stories people understand. * Use clear charts (bar, line). * Replace hard words with easy ones. * Point out only the most important facts. * Compare new data to old data. * Let people click and explore. * Use clear titles that say the main idea.

- In my experience: 1. Use simple visuals instead of tables. 2. Tell stories, not just data points. 3. Compare trends, not raw data only. 4. Highlight impact, skip complexity.