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Posted by Boris Evelson on November 18, 2011
As one of the industry-renowned data visualization experts Edward Tufte once said, “The world is complex, dynamic, multidimensional; the paper is static, flat. How are we to represent the rich visual world of experience and measurement on mere flatland?” There’s indeed just too much information out there to be effectively analyzed by all categories of knowledge workers. More often than not, traditional tabular row-and-column reports do not paint the whole picture or — even worse — can lead an analyst to a wrong conclusion. There are multiple reasons to use data visualization; the three main ones are that one:
What’s different between traditional static graphs and charts and modern advanced data visualization (ADV)?
Many corporations have used traditional business graphics like bar charts and pie charts effectively in the past, and those graphics will continue to have their place. At the next level, modern technologies have enabled the use of more dynamic and interactive business graphics, such as real-time dashboards and charts that update automatically as the data changes. Now, through ADV, the potential exists for nontraditional and more visually rich approaches, especially in regard to more complex (i.e., thousands of dimensions or attributes) or larger (i.e., billions of rows) data sets, to reveal insights not possible through conventional means. Forrester differentiates ADV from static graphs and charts along six capabilities, as follows:
I highly recommend books and research by Perceptual Edge for much more detail on this topic.
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