Visual analytics is the use of sophisticated tools and processes to analyze datasets using visual representations of the data. Visualizing the data in graphs, charts, and maps helps users identify patterns and thereby develop actionable insights. These insights help organizations make better, data-driven decisions.
Sometimes confused with data visualization, visual analytics isn’t simply a matter of representing data graphically. Rather, modern, interactive visual analytics makes it easy to combine data from multiple sources and deeply analyze the data directly within the visualization itself. Further, AI and machine learning algorithms can offer recommendations to help guide the user’s exploration.