Knowledge Visualization in Design Practice: Exploring the power of knowledge visualization in problem solving

22 Jul 2010|Added Value

Jan YeagerComplex problems require the perspectives of different disciplines to solve for them. In a cross-disciplinary team these perspectives also bring their own practices, tools, languages, and data sets. Overlaps and differences between disciplines are negotiated as teams attempt to integrate the knowledge and information each discipline brings to bear on the problem. A challenge is making sense out of the disparate sets of information describing the various aspects of a problem.

The multitude of data and information types to consider in problem solving is ever increasing: trend data,secondary research, qualitatives, quantitatives, geodemographics, and, more recently, social networks must all be considered. Another challenge is in understanding what types and combinations of information will best serve the objectives at different stages of problem solving.

The visualization examples presented here were created within the context of solving problems within a business paradigm. However, the activity of generating visual models, along with the types of thinking used in developing and working with them, can be applied to problem solving within any domain.

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This article, co-authored by Cheskin Added Value’s Jan Yeager, is published in the Summer 2010 issue of the Parson’s Journal for Information Mapping. To download a PDF copy of the full article, click here.

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