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.
Visual Analytics Benefits
The overall benefit of visual analytics is that it helps turn massive data sets into business insights which can have a major positive impact on your organization.
- Share findings and track progress: Interactive reports and dashboards help users track, organize and share key performance indicators across an organization.
- Make faster decisions: Users can understand data insights much more quickly by seeing and working with data sets when they are in a visual format.
- Explore data more easily: Self-service analytics tools which allow users to interact with data in a visual context allows them to discover hidden relationships and patterns in the data without relying on help from IT.
- Promote data literacy: Making data easier to work with and understand democratizes data analytics, getting more people across and organization involved.