One fact that is clear throughout Visual Numerics' research of user needs is that VDA users demand fast graphical interaction with images. However, Visual Data Analysis does not require this degree of realism because researchers tend to be involved more with experimental modeling or simulations of phenomena. In other words, visual data analysis requires new ways of representing data visually, not a high degree of physical realism. Visual Data Analysis Defined Visual Data Analysis lets users analyze, explore and present data visually. Going beyond simply displaying images, VDA products provide insight into trends that otherwise would be hidden in rows and columns of numbers.
Understanding is gained through direct interaction with raw data.
Understanding data is accomplished quickly and easily. By definition, VDA products are collectively more powerful and flexible, yet, easier to use than many visualization products. They are highly customizable, able to manage large datasets, can execute numerous analytical techniques and support a multitude of platforms.