What are some of the latest trends in data presentation?

Storytellers can get so excited about sharing new discovery, they fail to realise that the delivery method is as important. Nothing takes an audience out of a story more quickly than needing to have them navigate through complicated charts. 1. Hook audience in with an agenda that's relevant to them/piques their interest. 2. Decide logical flow - show the big picture first, then zoom into the 5Ws and 1H with more charts 3. Keep charts readable and intuitive. Don't forget chart elements like labelling, legends, etc. Approach visusalisation from readers' POV and answer as many questions as possible in the charts before they're asked. 4. Remove charts that don't answer any relevant questions. (Ask the "so what if they know this?" question.)

In my overall journey, I'd like to say: 1. Data storytelling is crucial ??: Craft narratives that connect with your audience and inspire action. 2. Audience matters ??: Understand who you're speaking to and tailor your story accordingly. 3. Master your tools ???: Tableau, Power BI, Flourish, and Datawrapper are your allies for creating impactful visuals. 4. Simplify complexity ??: Break down complex data for clarity and comprehension. 5. Iterate and refine ??: Continuously improve your story based on feedback and insights.

If your audience is getting bored with your data, it’s time to hit pause and rethink your approach. 1. Know your audience: do they really care about this information? 2. Keep it Chill: don't overload them with data 3. Make it Pop: Use some interactive charts/emojis to keep their attention intact 4. Tell it like a story: Your data/dashboard/reports should say it all with just one glance—no extra words needed. Keep it super clear and easy to get.

1. Interactive Dashboards: Tools like Tableau and Power BI offer interactive dashboards that let users explore data dynamically, providing a deeper, customizable understanding. 2. Data Storytelling: Combining data with narrative techniques to craft compelling stories helps engage audiences and convey key messages effectively. 3. Real-Time Data Visualization: Leveraging tools like Datawrapper and Flourish for live data updates enhances relevance and timeliness of the presented information.

Data visualization is crucial for presenting complex data in an intuitive, graphical format, such as charts and dashboards. In creating effective visualizations, it's important to select the right chart types and use colors and labels strategically, while avoiding clutter. For this purpose, I prefer using Microsoft Power BI. Its robust features make it an excellent tool for creating clear and impactful visualizations, significantly enhancing data understanding and storytelling.

It's more important than ever to enhance your data presentations beyond PDFs and PPTX to meet modern user expectations. While data visualization remains essential for effective communication, aligning with current trends is key. Utilize diverse visualization tools to boost appeal and accessibility. Yet, mere tool usage isn't enough. Leverage technology integrating documents and apps for intuitive, interactive experiences. Thus, I think it's all about user-centric design for presentations that exceed expectations and provide an easy-to-navigate, dynamic, insightful way to distribute.

In my overall journey, I'd like to say that: 1. Data visualization is more than just pretty charts; it's about conveying insights effectively. ?? 2. Choose the right chart type that best represents your data to avoid misinterpretation. ?? 3. Utilize colors strategically to highlight key points without overwhelming the viewer. ?? 4. Clear labeling is crucial for understanding; avoid ambiguity in your visualizations. ??? 5. Keep visualizations simple and uncluttered to maintain focus on the data story. ? 6. Explore various visualization tools like Excel, D3.js, or Plotly to find what works best for you. ???

Uma forma de tornar os dados mais interativos é aproveitar-se da tendência das IA Generativas para criar textos em linguagem natural que expliquem os dados para o usuário conforme ele filtra, seleciona e navega pelo dashboard. Os dados visuais com um aposto textual ajudam a contar uma história mais acessível a times que talvez possam n?o ter tanto contato com a área de dados.

In my overall journey, I'd like to say that: 1. Data interactivity enhances engagement by allowing users to filter, sort, and explore data dynamically. ?? 2. It enables users to uncover insights at their own pace, fostering a deeper understanding. ?? 3. To leverage data interactivity, utilize tools like Shiny, Dash, Tableau Public, or Power BI. ??? 4. Incorporate features such as sliders, buttons, and tooltips for a seamless user experience. ??

While data access is important - one key is making sure the right people have access to the data. If you have a global dashboard for sales, you may want the sales directors in EMEA to only have access to those with specific EMEA filtering, and not to see how sales are in North American or APAC. Additionally, consider what people outside of sales have access to this data - should finance have access? Maybe, but perhaps a product team should not have access.