Data visualization plays on two separate but related levels. First, it’s the act of creating visualizations that communicate information to users through symbols, pictures, and other visuals. Second, it’s the process of interpreting data and making visual representations of it.
Different Types of Data Visualization
There are many different types of data visualization, each with its own benefits and disadvantages. We’ll discuss four of them here:
Line & Charts – Line and bar graphs are the most basic types of visualizations, and they usually make the most sense when you have relatively few data points to analyze. Lines and bars can be very effective ways to represent data, particularly when you’re primarily interested in analyzing trends. However, they don’t provide as much context as other types of visualizations, and they can be hard to read.
Image-Only – A great way to show data that has multiple dimensions is through images. For example, let’s say you have data showing the number of customers who bought certain products in the last 12 months. We could show the number of customers across all products using an image of a shopping cart with products stacked on top of each other.
How to Use Data Visualization in Business With Data Bloo Gallery
Data visualization is a powerful way to show information to stakeholders and make business decisions with data. But how do you use it in your business? Here are some tips:
Make data visualizations part of your company’s culture. It may seem like a simple task, but make sure your team knows how to create visualizations and how to present data in a clear and engaging way.
Think about the audiences you want to communicate with. If you’re showing data to stakeholders, it’d be a good idea to choose a visual that helps them understand the information more effectively.
Who Should Use Data Visualization in Business?
The idea of data visualization is great for both users and data researchers. Organizations that use data to inform and make educated decisions often have data visualizations to show stakeholders and analysts. This is especially true for large, established companies that have been using data visualization for a while and want to share some of their learnings.
Users
All users are valuable, and they can all benefit from having a better understanding of their financial situation. The key here is finding a problem you want to solve and then finding a way to visualize it. For example, if you sell insurance, you may want to show how often certain customers are in need of your product.
Data researchers
Data researchers are the people who process data and find the insights. For example, let’s say we have data that shows the average age of a house in a city. We could use that information to show houses closer to retirement age vs. those closer to death.
Conclusion
Data visualization is a powerful tool that can show information in a way that promotes transparency and understanding. It’s also been proven to increase engagement and satisfaction among users, which can help increase retention and revenue.
To get the most out of data visualization, it’s important to use it ethically and responsibly. That’s why we created the Bloo Gallery – a source of best practices, tutorials, and resources for data visualization.
