Visual Data Discovery
Visual Data Discovery is the process of using visualizations and iterative visual exploration of data to improve time to insight. Visual data discovery improves business decision-making by enabling the exploration of data through interaction with charts and images. Processes such as in-memory computing and mashing or fusing of multiple data sources allow visualizations to be robust and real time; while the exponential growth of data has made their use essential in many organizations.
Visual objects and their color, size, shape, shading and motion represent facets of the dataset being analyzed. Typically these solutions provide more visualization options than traditional pie, bar and line charts. Visualization types may also include bubble charts, heat maps, tree structures, scatter plots and more.
These tools provide self-service business intelligence by enabling users of varying ability levels to analyze, iteratively explore and ultimately obtain insights from their data by interacting with visualizations.