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March 1ste 2005

Information visualization: metaphors. March 1ste 2005. Ruud Smeulders. Applications of data visualization of Rabobank Group r.j.a.m.smeulders@rn.rabobank.nl. allow me to introduce …. dr ir R.J.A.M. (Ruud) Smeulders r.j.a.m.smeulders@rn.rabobank.nl

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March 1ste 2005

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

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

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

  4. Introduction: Information Design (CH4 Rosson & Carroll) UI design • More realism • More perception • More interaction Perception: sensors • Eye, ear, touch, smell, taste, balance • Ultra violet, infra red, ultra sound,… Gulf of Evaluation • Perception • Interpretation • Making sense Gulf of Execution • System goal • Action plan • Execution

  5. Perception: Gestalt Principles & optical illusions Gestalt Principles • Proximity • Similarity • Closure • Area • Symmetry • Continuity Optical Illusions

  6. 3d representation • Size • Interposition • Contrast, clarity & brightness • Shadow • Texture • Motion parallax

  7. why information visualization? • Amount of data is growing quickly • Computing all data with (new) software is not possible (software development is too slow) • Information visualization has proven it’s value for scientific visualization • 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

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

  9. Examples from the financial world Figure above left: stock data Figure under left: SmartMoney MarketMap Figure above right: navigation tool with skier Figure under right: location results company

  10. Visualization of marketing data • Marketing data from accounting system • Experiments with selection of 25.000 customers • Interactive 3d correlation matrix for sorting and selecting • 3d cube with custom properties in spheres and colors

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

  12. Result: 3d landscape with html UI for interaction

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

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

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