Wednesday, July 16, 2008

The Visual Dashboard Design presentation will show some principles expounded by experts such as Stephen Few, Edward Tufte and Colin Ware. It will focus on additional areas such as using Hyperion and OBIEE to support visual dashboards, sound methodologies that can utilize dashboards to solidify their chances of success, for example a model for Enterprise Risk Management, how dashboards can be utilized visually to help the Chief Risk Officer and the Business Unit Heads to keep on top of the most important risks. It will also go over some of Avinash Kaushik's issues with dashboard design as an organizational process, and how to solve that.
The presentation begins with a discussion about how cognition works... I will also point out different uses of variables in dashboards... in this case the slightly larger font is directing more attention to the most important information.











The next visual here is a little video with some discussion about what a dashboard is...



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Here we are discussing some great painters.... these painters used a "spotlight" effect, using light and dark. Rembrandt did not listen to the contemporary school of thought on art and did what he thought was right... as a result, he is considered the greatest painter in an era of greatness. So too, it takes courage to do what's right visually in dashboard design, even though it is not necessarily what the "glitzy" dashboards look like.





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Avinash Kaushik is a brilliant author and blogger, and he discusses his issues with dashboard design... we try to solve these issues here



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Here is a framework for a solution.



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This slide will be discussed at some length, but it has the elements of a value driven strategic thrust in a business area, in this case Enterprise Risk Management, that we want to improve with the help of Business Intelligence. We come to understand what visual displays will be effective in the analysis.





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Then we will show how Crystal Ball, Data Mining, and Microsoft Visual Analyzer, et al., in the OBIEE suite, present the visualizations we need. These can be stored in OBIEE for Information Lifecycle Management as well.

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We then put the dashboards up, with good visual design. We will discuss how this supports a tremendously valuable area where organizations miss value, which is in the area of aligning tolerance down into the operations and workers.

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Oracle Data Mining results are useful to the line managers trying to improve operations.




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Using data mining, rules analysis will help get to the root of the problem at a fine grain.






















Scatter charts in data mining help find outliers quickly.

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