Data Visualization

Data visualization is the practice of using software tools to display information in graphical form, rather than as raw data that could be more difficult to understand. By representing different kinds of data visually, individuals and teams can readily identify insights and patterns in the stores of information. This is particularly crucial in the age of Big Data, which requires organizations to be able to effectively interpret large amounts of information, often in rapid fashion. Data visualization usually includes 3D graphics or rendering, and is a crucial tool in the fields of marketing, data science, and data analytics.

You can think of data visualization as a method for translating raw information—often enormous quantities of data—into a format that people can more readily see and understand. As a result, people working with data visualizations can make data-driven decisions much more rapidly than if they were working with raw information.

Data visualization is critical to making sense of big data. Its benefits include smarter data analysis and data-driven decision-making. Data visualization enables individuals and organizations to see relationships and patterns in their data that might otherwise be more challenging to detect. This means you can not only better understand the information you’re working with, but also be better positioned to make decisions based on what these big data visualizations reveal. By representing key insights and trends graphically, you can spend less time mining your data and more time acting on what it is telling you.