One of the most important challenges of the emerging Information Age is to effectively utilize the immense wealth of data and information acquired, computed and stored by modern information systems. On the one hand, the intelligent use of available data volumes and information extracted thereof offers large potential to realize technological progress and business success. On the other hand, there exists the severe danger that users and analysts get lost in irrelevant, or inappropriately processed or presented information, a problem, which is generally called the information overload problem. Visual Analytics is an emerging research discipline developing technology to make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user. In this paper, we will outline the most important challenges of the young research field.

Daniel A. Keim and Joern Kohlhammer and Giuseppe Santucci and Florian Mansmann and Franz Wanner and Matthias Schaefer, Visual Analytics Challenges, 2009, pp.8, Echallenges 2009, Istanbul, Turkey, [download], [bibtex]

@inproceedings{Keim-1,
  author = {Daniel A. Keim and Joern Kohlhammer and Giuseppe Santucci and Florian Mansmann and Franz Wanner and Matthias Schaefer},
  title = {Visual Analytics Challenges},
  pages = {8},
  year = {2009},
  note = {Echallenges 2009, Istanbul, Turkey},
}