How can you create 3D data visualizations with BI presentation tools?

One thing I've found helpful is to use a BI presentations tool that has built-in features for 3D data visualization. This way, you don't have to rely on additional software or plugins to add 3D elements to your presentations. It streamlines the process and allows you to easily create and manipulate 3D data visualizations within the same tool. 2) Actually, I disagree with the idea of adding 3D data visualization to every BI presentation. While 3D can be visually appealing, it can also distract from the main message and make the presentation more complex. 3) An example I've seen is using a BI presentations tool that integrates with popular 3D modeling software, such as Blender or AutoCAD.

3D data visualizations are like fancy graphs that use three directions: left-right, up-down, and front-back, to show information. Imagine a scatter plot but with an extra depth dimension. They help us understand data better. You can create 3D designs using software like Excel, Google Data Studio, etc. These tools let you turn numbers into 3D charts or graphs, making data more interesting and easier to grasp.

3D data visualizations transcend traditional charts by utilizing the x, y, and z axes to represent multiple variables simultaneously. Unlike 2D visuals, they add depth and perspective, enhancing engagement. BI presentation tools harness this depth, transforming data into immersive narratives. By integrating 3D elements, analysts can create compelling stories, unveiling intricate patterns and trends. This immersive approach amplifies the impact of data analysis, ushering in a new era of insightful understanding within the realm of business intelligence.

3D visualization utilizes three dimensions to convey both qualitative and quantitative information about an object. By incorporating height, width, and depth, three-dimensional visuals offer a comprehensive view. The process of 3D visualization involves scene setup, geometric representation, and rendering. As datasets grow, the importance of data analysis and 3D visualization tools increases. However, the complexity of 3D visualization, which allows viewing from multiple angles, can make it more challenging to interpret compared to 2D visuals.

Employing 3D data visualizations enriches data presentations by showcasing complex, multidimensional data that defies 2D limitations. They illuminate spatial relationships, vital for geography, and enable dynamic scenario comparisons through rotation or animation. These visuals captivate with interactivity, ensuring attention-grabbing displays. Moreover, they convey messages and stories with heightened impact and emotion, making 3D data visualization a potent tool for compelling, immersive data exploration and communication in the realm of business intelligence.

Using 3D data visualizations offers unique advantages in data exploration and communication. These visuals can lead to deeper insights and more informed decision-making. 3D visuals increase engagement by captivating viewers and encouraging interactive exploration. Users can rotate, zoom, and filter 3D views, facilitating deeper understanding of complex datasets. This interactivity fosters a more immersive and dynamic data exploration experience. For geographic or spatial data, 3D visualizations excel in accurately representing spatial relationships, such as terrain, elevations, and distances. This makes them invaluable for spatial analysis and planning tasks.

Below are some best practices for 3D data visualization- a) Keep it simple, don't use fancy colours. b) Don't overload the visual with data as it can quickly lead to confusion, so it’s critical to only include the most important information. c) Try to tell a story with the data shown in that 3D visual. d) Use effective labels. It should be clear, concise and accurately describe the data that is being represented. Thank you!!

I can think of these points: 1. Keep it Simple & Clear simplicity is key. Don’t overcomplicate it, avoid unnecessary 3D effects that might obscure your data. If a 2D visualization can convey the same thing effectively, consider using it instead. 2. Choose the Right Chart Type: Select the appropriate chart type for your data to convey the message effectively. 3. Performance: Optimize for performance, especially in web-based or interactive applications. Complex 3D visualizations can be resource-intensive. 4. Storytelling: Make sure that it always contributes to the story telling your dashboard & not look like an individual visual. Remember it should serve the purpose of enhancing data comprehension.

Use 3D selectively for clarity, avoiding clutter. Label axes clearly and provide context with annotations. Prioritize performance with efficient models. Ensure visuals are accessible to all users. Engage viewers with interactive elements like tooltips and filters. Continuously improve based on user feedback.

Some examples for 3D Visuals in Power BI are : -3D Scatter Plot. -3D Globe Map. -3D Clustered Column Chart. -3D Waterfall Chart. By leveraging these unique features and capabilities of different BI tools, organizations can create compelling and insightful 3D visualizations that drive data-driven decision-making, enhance business performance, and empower users to extract valuable insights from their data. Experimenting with custom visuals, innovative techniques, and advanced functionalities to unlock the full potential of 3D data visualization across various BI platforms.

Hire William Rodriguez of Antalytic Ants! He did all of this for me for years! Simply amazing how we used the tools!😎He was a master before his time!