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reliability. Arriving at a unifying, task-centered view on diverse streams of data
is a central goal in financial information systems. Integrated analysis and visu-
alization of heterogeneous data types such as news feeds, real-time trading data,
and fundamental economic indicators poses a challenge for developing advanced
analysis solutions in this area. Research based on results from Information Vi-
sualization is regarded as promising in this case.
Socio-economic
considerations often form the basis of political decision
processes. A modern society can be regarded as a complex system of interre-
lationships between political decisions and economic, cultural and demographic
effects. Analysis and Visualization of these interrelationships is promising in de-
veloping a better understanding of these phenomena, and to arrive at better
decisions. Successful Visual Analytics applications in this domain could start
being developed based on currently existing Geo-Spatial analysis frameworks.
Public
Safety & Security
is another important application area where Vi-
sual Analytics may contribute with advanced solutions. Analysts need to con-
stantly monitor huge amounts of heterogeneous information streams, correlating
information of varying degrees of abstraction and reliability, assessing the cur-
rent level of public safety, triggering alert in case of alarming situations being
detected. Data integration and correlation combined with appropriate analysis
and interactive visualization is promising to develop more ecient tools for the
analysis in this area.
The study of
Environment and Climate change
often requires the ex-
amination of long term weather records and logs of various sensors, in a search
for patterns that can be related to observations such as changes in animal pop-
ulations, or in meteorological and climatic processes for instance. These require-
ments call for the development of systems allowing visual and graphical access
to historical monitoring data and predictions from various models in search for
or in order to validate patterns building over time.
These diverse fields of applications share many problems on an abstract level,
most of which are addressed by Visual Analytics. The actual (software) solution
must be adapted to the specific needs and terminologies of the application area
and consequently, many researchers currently focus on a specific customer seg-
ment. Much can be achieved, if the European research infrastructure in this field
becomes strong enough to encourage the exchange of ideas on a broad scale, to
foster development of solutions applicable to multiple domains, achieving syn-
ergy effects.
6 Technical Challenges
The primary goal of Visual Analytics is the analysis of vast amounts of data to
identify and visually distill the most valuable and relevant information content.
The visual representation should reveal structural patterns and relevant data
properties for easy perception by the analyst. A number of key requirements
need to be addressed by advanced Visual Analytics solutions. We next outline
important scientific challenges in this context.
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