How can you present technical data in a simple and effective way?

Knowing the audience is key. It confirms the executive summary of your analysis. As an oversimplified example, assume we are looking at a Facebook marketing campaign. For stakeholders familiar with the campaign, you can provide key summary like conversion and ROI. For stakeholders who look at consumer funnel, they would like to see the change in consumer behavior. Finance would like to understand the ROI and sustainability. Engineering would like to make sure user flows are working fine and to be notified in case of any deviation. Also, some stakeholders may not be aware of terms/elements being used in the data so to make sure that the content is conveyed in a manner where everyone is able to understand and contribute.

Understanding your audience is the cornerstone of presenting technical data effectively. Tailor your content to match their expertise level and interests. Use language that resonates and connects with them.

First ask yourself this: What is the one key takeaway you want your audience to remember? Everything you present should support this message.

To present technical data in an impactful manner, consider adopting a storytelling approach. Craft a narrative around the data and enhance its understanding by incorporating relevant figures and visuals.

Knowing your audience, is the most fundamental part of presenting a technical data as it has to be tailored accordingly. The choice of words, jargons, calculations, examples and visuals to be used, it all depends on your audience. If audience is high level business people then more focus should be given on graphs, visuals, storytelling and importantly the impact of the findings. If audience is technical, people might be interested to see the calculations and technical processes used to get there. If audience is general public, then making use of common daily life examples can be really helpful to make your findings more relatable and understandable. But as a presenter you should always be ready to answer any kind of questions on the topic.

When you know your audience and pick the right format, it's like choosing the right way to talk to different people. Think of it as selecting the right clothes for different occasions. First, understand who you're talking to what they like, how much they know, and what matters to them. Once you know your audience, choose a way to share information that fits them best. It could be a simple talk, a detailed paper, or just a casual chat. Making your message match your audience helps them understand and be more interested.

Different data requires different formats. Consider whether a report, infographic, presentation, or interactive dashboard best suits your data and audience. Opt for simplicity without sacrificing essential details.

La elección del formato de presentación va de la mano con tu análisis durante el tiempo que estuviste haciendo el trabajo. por ejemplo, si estuviste en una empresa de marketing lo más probable que una presentación audiovisual es lo ideal; en cambio, si estuviste en un banco, el informe lo van a ver como positivo y no por ello te va a quitar merito a tu experticia.

Every impactful presentation begins with a defined objective. Consider what you intend for your audience to learn, comprehend, or act upon based on the information presented. Setting this objective at the outset aids in organizing the presentation and guarantees that your audience can easily grasp and follow the narrative. Technical data is most effectively conveyed through visual means. Employ charts, graphs, and infographics to transform intricate data into a format that is straightforward and accessible. Selecting the appropriate type of visual aid is crucial: use bar charts for comparative data, line charts to depict trends, pie charts for showing proportions, and so on.

Choosing the "file format" (dashboard, slides, reports) will depend on the situation. Dashboards are active and accessible online. Slide decks are generally descriptive or persuasive. Reports are detail-driven and often serve compliance or function as input to new tasks. Don't feel stuck to one format because "that's how it's done". Do what works for you, and experiment. You can create multiple formats from the same analytic data set, if you design it well. Slide decks and report generation can also be automated if used for scheduled meetings or updates.

Using visuals wisely and telling a story is like showing a clear picture and sharing an easy-to-follow tale. Imagine it as using pictures and words to make your point. Choose visuals that help explain your idea, like simple charts or drawings. These are like using a map to guide someone on a journey. Then, weave your information into a story that unfolds naturally. It's a bit like telling a friend about your day, but here, you're making a point. By combining visuals and a story, you make your message more interesting and easier to understand, like a good story with pictures.

Visual aids speak louder than words. Incorporate charts, graphs, and diagrams to illustrate complex information. Keep visuals clear, uncluttered, and aligned with your narrative to enhance comprehension.

People engage deeply with storytelling. Integrate your data into a compelling narrative that grabs the audience's interest. Illustrate the story that the numbers tell - how do they translate into real-world implications? What is their impact on the audience? Storytelling is a powerful tool for making data relatable and memorable. Moreover, inundating your audience with excessive data can lead to confusion. Concentrate on delivering only the most pertinent information. Emphasize crucial points and discoveries, consistently revisiting these central concepts during your presentation to reinforce and solidify them.

When working with geospatial data, choropleths and heatmaps are powerful visualization tools. Choropleths are best used to convey findings that are relevant to concrete regions you are mapping. Heatmaps, on the other hand, are good for mapping grouped point-objects on the map. This is just one example on how to wisely use similar tools that are intended for different storytelling scenarios.

Loe elementos visuales deben ser usados con inteligencia. hay momentos y para no ser repetitivos en ciertos tópicos, se usan este tipo de herramientas que ayudan mucho a esas personas mas visuales para comprender.

Data has a narrative. Weave a compelling story around your data to engage your audience emotionally. Create a cohesive flow that links data points to real-world scenarios, making the information relatable and memorable.

Cuando estas en un proyecto de ciencias de datos, las reuniones previas debes estar atento a los detalles que sueltan lo clientes. Con esto quiero decir que es la raíz fundamental para determinar el modo y la forma para contar la historia de los datos que vas a mejorar con las herramientas de ETL.

Simplify complex ideas into more manageable parts. When detailing intricate processes, employ step-by-step explanations or draw comparisons to concepts that are familiar to your audience. Utilizing analogies and metaphors can be particularly effective in rendering abstract ideas more concrete and relatable. Additionally, promote interactive communication. Invite questions and encourage discussions to gauge your audience's comprehension in real-time and to address any specific points of interest or areas of uncertainty they may have.

The story is the purpose, whether you are creating a dashboard or a slide deck or an interactive Web page. Most people are not interested in data. They are interested in what the data can tell them. Construct your analytics with a story flow, and make it intuitive to navigate without requiring oversight or explicit direction.

While you identify the right elements that add up to your story, it is also important to identify the elements that don't contribute value. When I present a clear and compelling narrative to my stakeholders, I make sure to remove any fluff or insignificant detail so that the key takeaways can be focused on.

Before finalizing your presentation, seek input from colleagues, AI tools, and the LinkedIn community. Feedback refines your approach, ensuring clarity and effectiveness in communicating technical data.

Feedback is an important part of the presentation process as it makes you aware of the audience engagement and their understanding on the topic. It lets you know wheather the information/message has been conveyed successfully or not. Moreover, feedbacks, help provide different perspective (different from presenter's) on the topic, opportunities for improvement and helps identify gaps in the data presentation. In general, feedback promotes personal as well as professional growth.

Feedback is a key to success. Try to get feedback from your end users or clients for 2 important things. 1. To know what they are expecting from you / your organization 2. To know they have understood what you wanted to tell them with presentation or meeting. Getting feedback and working on those things will improve the relationship. I personally prefer a meeting to get a feedback over surveys.

Employ case studies and real-world examples to underscore your points, illustrating the practical application of the data to enhance both understanding and relevance. Wrap up your presentation with a concise summary of the pivotal points. Doing so not only underscores the essential messages but also leaves the audience with a clear takeaway. For attendees eager to explore the topic further, offer supplementary resources such as detailed reports, recommended reading materials, or links to relevant online content, catering to those who seek a more comprehensive understanding after the presentation.

Si estas iniciando o llevas experiencia en el mundo de los datos, siempre es importante tener una segunda opinion de un proceso o requerimiento suscitado. A veces, tenemos la respuesta en la punta de la lengua, pero nos hace falta un destello de luz que nos haga avanzar en nuestro trabajo.

Simplifying the language is as important as any of the points above. Avoid jargon and technical terms. Explain complex concepts in simple language to ensure broader comprehension. This will significantly help in conveying the message.

This topic is often approached in a one-dimensional way, as if the possibilities are always open-ended. A video is often the best option if you have a substantial budget and timeline. But this is usually not the case. Similarly, if the presenter's image is significant, then the content should take a backseat, as was the case with Jobs, Musk, and others. It depends on how much time you have, what your goal is, and even if the presentation will be made on stage or sent via email (these are two entirely different materials). But one thing does not depend: the quality of all elements, and professionalism in communication, which should always be direct, precise, and inspiring.

Keep it simple. Keep it focused. Keep it informative. Any chart or metric on a page that is not serving an obvious purpose should be removed. Do not require scrolling within a BI application, except on mobile. Even then, keep it light. Anyone opening your app should be able to locate and comprehend their metrics within 4 seconds. Remember that your purpose is not "to present data". Your goal is tell a story, answer a question, or provide greater insight into a complex situation.

So in order to explain any technical idea apart from the points mentioned above I would say a proper two way communication is important. If we can engage the other person, it will be easy for them to understand. And the most important thing is the eye contact.

Interactive Elements: Incorporate interactive elements, like Q&A sessions or demonstrations, to keep the audience engaged. Tech Support: Be prepared for technical issues. Familiarize yourself with the presentation tools and have a backup plan in case of technical glitches. Accessibility: Ensure your presentation is accessible to everyone, including those with disabilities. Consider factors like font size, color contrast, and alternative text for visuals.