Visual analytics is a form of inquiry in which data is presented interactively and graphically. The approach uses data visualization techniques to help managers, scientists and other professionals identify trends, patterns and relationships in data.
Visual analyticssoftware tools also make it easier for less tech-savvy users to use by including easy-to-use features such as drag-and-drop for setting and changing analytics parameters.
Like business intelligence( BI) and business analytics( BA), visual analytics must incorporate effective data management strategies to integrate, unify and standardize data from disparate information sources. Visual analytics is particularly useful in applications with large, complex data sets and analytical processes that require a high level of monitoring and interaction, such as big data analytics and data mining.