Relate to Everyday Experiences:I use analogies and examples that the audience can easily relate to. For instance, if I’m explaining data trends,I might compare them to weather patterns showing how just like the weather, trends can shift but are usually predictable with the right tool Simplify with Visuals: I use clear, straightforward visuals like bar graphs, pie charts, and infographics that highlight the main points without cluttering the presentation. This helps the audience quickly grasp the key insights without getting overwhelmed by numbers.Focus on Relevance: I always frame the data in terms of what matters most to the audience. For instance, I explain why the data is important for their decision-making or how it affects their goals.

When you're presenting complex data to a non technical audience it's important to speak in a way that they can easily relate to and understand. You can compare the data concepts to everyday experiences so they seem more familiar and less abstract. Instead of diving deep into technical details use visuals like simple charts and infographics that emphasize the key points. Keep the information clear and focused on what matters most to them explaining how it affects their goals or decisions. The goal is to make the data not just understandable but also relevant and actionable for them.

How complicated are our findings really? I think it can be helpful to separate what you care about from what your stakeholder cares about. They might not be interested or able to digest every technical detail of your analysis. Try to find the big ideas and summarize your findings into key takeaways. It could also be beneficial to break the presentation down into multiple meetings to leave room to get the information across over time if you have a lot to cover

Before we start explaining about the data, The non technical user should be a person who understands their own product well or has an end goal. Ex: my sales in month Jan was X, Feb was Y also have an understanding on the strategy side what key strat ops have they done or so on) This will open a door for the analysts to talk about regression, percentiles as such with basic real life examples and explain that too many holidays have affected your sales or too many other competitor's pricing strategies influencing sales. To make the non tech user understand the complex data is to show some real life examples Class of 100 students for percentiles explanation that indicates the outliers and avg going down in a trend. (Skewness in the data)

>Know your audience! It's ingenious to think that stakeholders don't know anything about statistics and data. Try to anticipate more obvious questions, such as: "which variables did you use?", "which had more weight for the model?", "why was this model better than the other?". > Obviously, it is not to mention his Calculus I and II classes. But, bring data and evidence to the table in a didactic way. >Bring cases from companies in the same field that you know are valued by your audience. Take care in data visualization: use design concepts and focus on obvious graphs (if it took more than 10 seconds to understand the main message of your graph, it is not easy enough).