How can you design data visualizations and reports for high-volume, high-velocity data prediction?

Data tool selection also depends on the use, while we need robust and flexible tools, but when it comes to presenting the story less is more. Remember the CEO CFO COO time is at a premium, so you need to start with the big picture / executive summary and that summary should have maneuverability to deep dive topics. Graphs and reports are only useful if they serve the purpose, so we should avoid losing the story and substance in pursuit of optics. Therefore, depending on topics, sometimes a simple excel can serve the purpose and sometimes we would need more advance tools like Power BI or SAC

The main aim, is to understand the problem you are trying to solve and display a clear pointers to the solutions the customer is looking for. And as stated above the functionality and flexibility is very important to the viewers engagement of the viz that has been developed.

Along with purpose and audience, the data should be helpful to outline 'what next'. The data should provide actionable insights, the goal should be to convert data into information, information into insights, and these insights should assists into decisions and actions.

Before you start designing your data visualizations and reports, it's important to define their purpose and audience. What do you want to communicate with your visualizations and reports? Who is your target audience? Once you have a good understanding of your purpose and audience, you can start to design your data visualizations and reports accordingly.

Your data visualizations and reports should be clear and easy to understand, even for non-technical audiences. Avoid using too much jargon or complex visuals. Instead, focus on using simple and straightforward language and visuals that tell a clear story.

Once you have created a draft of your data visualizations and reports, it's important to test them with your target audience. Get their feedback and make changes as needed. This will help you to ensure that your data visualizations and reports are effective and easy to understand.

Once you are satisfied with your data visualizations and reports, you need to document and share them with others. This may involve creating user guides, writing blog posts, or giving presentations. It's also important to make your data visualizations and reports accessible to your target audience. This may involve publishing them on a website or sharing them through a cloud storage service.

1.Performance: Make sure that your data visualizations and reports can handle large datasets and render quickly. 2.Scalability: Your data visualizations and reports should be scalable so that they can handle future growth in data volume and velocity. 3. Real-time updates: If you need to update your data visualizations and reports in real time, you will need to choose a tool that supports this functionality.