Information visualization March 1 ste 2005 metaphors Ruud

Information visualization: March 1 ste 2005 metaphors Ruud Smeulders Applications of data visualization of Rabobank Group r. j. a. m. smeulders@rn. rabobank. nl

allow me to introduce … l dr ir R. J. A. M. (Ruud) Smeulders r. j. a. m. smeulders@rn. rabobank. nl l Innovation Manager Technology Rabobank Group (Rabobank, Interpolis, Robeco, Alex, De Lage Landen) l Responsible for several projects on information- and data visualization for Rabobank and Robeco Group

overview college l Introduction l Why information & data visualization? l Visualization of marketing data l Visualization of investment stocks l Data visualization for management

Introduction: Information Design (CH 4 Rosson & Carroll) UI design Gulf of Evaluation l More realism l Perception l More perception l Interpretation l More interaction l Making sense Perception: sensors l l Eye, ear, touch, smell, taste, balance Ultra violet, infra red, ultra sound, … Gulf of Execution l System goal l Action plan l Execution

Perception: Gestalt Principles & optical illusions Gestalt Principles l Proximity l Similarity l Closure l Area l Symmetry l Continuity Optical Illusions

3 d representation l Size l Interposition l Contrast, clarity & brightness l Shadow l Texture l Motion parallax

why information visualization? l Amount of data is growing quickly l Computing all data with (new) software is not possible (software development is too slow) l Information visualization has proven it’s value for scientific visualization l But visualization of abstract data collections is almost unknown Figure above: data explosion according to IBM Figure left: Gentechnology: ribosome + RNA + protine Figure right: Cafeïne tunnel

Possibilities with data visualization l Overview of large amounts of data l Many variables can be visualized together l Human eye and brain are perfect to view patterns and disparities: ideal data mining tool

Examples from the financial world Figure above left: stock data Figure under left: Smart. Money Market. Map Figure above right: navigation tool with skier Figure under right: location results company

Visualization of marketing data l Marketing data from accounting system l Experiments with selection of 25. 000 customers l Interactive 3 d correlation matrix for sorting and selecting l 3 d cube with custom properties in spheres and colors

Visualization of emerging market fund l Emerging market fund VEGAS l In several countries with stocks from different companies l Landscape l Evolve to abstract landscape

Result: 3 d landscape with html UI for interaction

Data visualization for management support l Strategy 2005+ l From 350 150 local banks l Results policy l Variables on the map of Holland Delft Xn Eindhoven Xm

Conclusions l Information visualization is complex due to perception and 3 d representation problems l Data visualization can handle large amounts of data l Much possibilities (scientific and en financial visualizations) for data mining, text mining, analyses, variables in GIS l Still in early stage of life cycle of technology l A lot of work to be done to design optimal UI for 3 d data visualization