Você precisa criar uma apresentação controlada por dados. Como você pode torná-lo visualmente envolvente?

Start by crafting a compelling storyline, focusing on key insights. Maintain a consistent design theme for a polished look. Select appropriate data visualizations charts, graphs, and infographics that align with your data's nature. Limit the amount of data to avoid overwhelming your audience and use highlights, colors, or annotations to emphasize crucial points. Icons and images add visual appeal, providing context and aiding understanding. Use animations sparingly and consider interactive elements for engagement. White space is powerful; allow visuals to breathe. If relevant, design your presentation like a dashboard for a comprehensive overview. Practice data storytelling, guiding your audience through a logical sequence.

En mi experiencia lo más relevante es definir en un primer paso una historia consistente y mensajes claves. Los datos deben complementar la historia, por lo que tanto cantidad como calidad de la data deben servir al proposito definido en el primer paso

Presentation must have every communication tools to achieve maximum assimilations by the viewers. Following can be helpful is identifying presentation tools: 1. Oral Narration for hearing 2. Visual Presentation for seeing and relating 3. Visual Content to demonstrate for believing 4. Some interactive Q/A session to judge the result of the presentation.

Story Telling is the Key! Presenting numbers is no fun unless presenter can make a story out of these numbers. Story telling is powerful tool for engaging your audience and relate the numbers with a real life example.

In my experience the key to any format, is firstly ensuring you simplify all data by breaking it down into digestible chunks and then use visuals like pie charts, histograms, or heat maps to illustrate patterns and trends in the data. Secondly it is critical that your data tells a story. Your visuals should always support the narrative and guide the audience through the key points, insights, and conclusions drawn from the data.

You can use various tools, such as Excel, Power BI, Tableau, or Canva, to design and customize your visuals according to your data type, message, and style. For example, Excel can help you create simple and basic charts, Power BI can help you create interactive and advanced dashboards, Tableau can help you create sophisticated and elegant visualizations, and Canva can help you create beautiful and creative infographics.

O Microsoft Excel é uma ferramenta familiar para aqueles que lidam com dados, sendo uma opção sólida na elaboração de apresentações. No entanto, atualmente, dispomos de outras ferramentas inovadoras, como o Power BI, capaz de criar painéis e proporcionar experiências coerentes e interativas com dados. Além disso, existem alternativas como Tableau, Looker, Infogram, Google Charts, entre outras, que ampliam as possibilidades na visualização e apresentação de dados.

It all begins with understanding the context behind the data. Presentations has to have a storyline they follow and data is the pivotal points, the milestones of the larger story that is being narrated. Professional presenters go beyond the numbers, they contextualize the numbers and keep the information coherent throughout.

Using interactive tools like Power BI or Excel can prevent the audience from getting bored and encourage more engagement during the presentation. Additionally, these tools can help reduce the slide size and present multiple scenarios on a single page.

It is of great importance that we master at least, two visualization tools. Use the best tool that suits your data and audience. I recommend reading 📚 this book by Wiley on "Storytelling with Data". It encompasses selecting the right visuals for your data.

1) Use charts, graphs, and images to represent data. 2) Stick to a cohesive color scheme. 3) Use clear and consistent fonts throughout your presentation. 4) Arrange elements in a logical order 5) Use subtle transitions between slides to maintain a smooth flow. 6) Create a consistent design theme.

Some of the key principles I follow when developing visualisations: 1. Ensure everything that needs labels, has them 2. Use white space to let your content "breathe" and delineate concepts - avoid using lots of lines and boxes 3. Don't use text to simply recap what is shown visually. The text should add insight 4. Your content should feel balanced visually 5. Use the right kind of chart for the data 6. Eliminate irrelevant or unnecessary data points and focus on the key message

Creating a visually engaging, data-driven presentation involves strategic design choices to effectively convey information and keep your audience engaged. One should make compelling presentation utilizing concise chart, with consistent color scheme while incorporating icons/images for added visual appeal and ideally use infographics for complex data. You can use subtle animations and strategic slide transition to maintain audience interest. You should remember that simplicity and clarity are key. Aim for a balance between aesthetics and functionality to create a visually engaging presentation that effectively communicates your data-driven insights. The result would be an impactful, data driven presentation that captivates and informs.

O visual é extremamente importante, deve ser limpo e atrativo, deve ser de fácil interpretação e entendimento. Deve-se escolher tipo de gráfico corretamente, cores relevantes e demais ações necessárias para destacar os dados e informações que devem ser transmitidas.

When it comes to data visualization, adhering to best practices is crucial for effectively communicating insights. Clear and concise labeling of axes and data points ensures that viewers can easily interpret the information presented. Choosing the appropriate type of visualization, such as bar charts for comparing quantities or line graphs for illustrating trends over time, enhances clarity and comprehension. Maintaining consistency in color schemes and font styles across different visualizations promotes coherence and professionalism. Additionally, emphasizing key findings through highlighting or annotations helps direct viewers' attention to the most important insights.

I would say this is the MOST important aspect. It doesn't matter how pretty or accessible your data is without a story. Work backwards from what the end state you need is, a decision, a recommendation, etc. and figure out how to craft a story that leads inevitably to that destination. The data visualisations can help to keep people interested, but also to overcome objections to your narrative. Finally, practice... a pain I know but often times the more you tell a story the better you get at it, the transitions, the detail, the pauses. All of it helps to keep people engaged and eventually deliver on your goal!

To run with the analogy, make the data points characters: give your audience an intuitive understanding of what the real world feel of the data point means/implies/feels.

It is important to not just share numbers but also put them in context. eg- you could say "The new monthly user acquisition number for line of business is 25". Better would be say, "The new monthly user acquisition number for line of business is 25 which is 300% higher than the average across LOB's and the highest this LOB has ever seen. The spike is expected to remain sustained over the next quarter due to a pardigm shift in factors A, B and C."

The most important thing while presenting is to keep the audience engaged. Quantitative data is sometimes tricky to present but it is also the most useful tool as concrete evidence based decision making can be done through quantitative data. It is important to mention the figures to the point and large tables and figures should not be included. Charts and graphics should be easy to understand and focus should be on communicating clearly rather making the presentation appealing.

What questions is the data trying to answer? What do these questions and answers mean for the audience? How does this impact them? In other words, why should they care about what the data is representing.

It is also important to consider how your data-driven is going to be delivered- are you going to present in-person, or is it going to be shared offline? This will have a direct influence on how volume and type of content in your presentation. With a live presentation, you can use storytelling and analogies to make complex data relatable, whereas for reader driven presentations you might have to use more high-quality charts, graphs, and images that are easily understandable without verbal explanation.

Having a story is key and I also feel it is important to make the story "interactive". By that I mean asking the audience what they anticipate an outcome or key takeaway from the data will be before unveiling the answer on a chart or slide. Getting your audience to consider what they expect will happen will keep them engaged and will reinforce the key ideas from the data - especially if it is something that wasn't expected.

In the realm of online presentations, less is often more. Rather than inundating your audience with an excess of slides, strive for succinctness and clarity in your presentation notes. Remember, your presence during the presentation allows for real-time engagement and the opportunity to address any questions or concerns that may arise. By prioritizing concise and impactful visuals paired with comprehensive speaking points, you can foster a more engaging and interactive presentation experience. Trust in your ability to navigate discussions and provide insightful responses, allowing your expertise to shine through without the need for an abundance of slides.

Know your content and make a statement that encapsulates the data findings or trends or meaning .. less is more in presentations .. keep content so low you need to talk more .. if you don’t know your numbers don’t present them .. deep data analytics is no sub for intuition ..

A data-driven presentation is a presentation that uses data and data visualization to communicate key messages and insights. To make it visually engaging, follow these tips: 1. Tell a clear story with your numbers. 2. Highlight your inference. 3. Use images to make your message more memorable. 4. Use visual representation of numbers. 5. Present information in stages.