Back when I was an environment strategist in the 1980s, I had a client who’d developed rudimentary software to visualize groundwater-pollution plumes. Even the most statistically minded hydro-geologist, when analyzing reams of print-outs of monitoring wells, would have a difficult time analyzing what the data really meant, let alone conveying the information to laymen. Where was the contamination’s source? Where was it heading? How fast?

By contrast, when you opened this program, in seconds you could see surface landmarks (bear in mind, this was long before Google Earth!), and see where the plume originated, where it was flowing, and the rate.

Fast forward to 2008. There are many more of these data-visualization tools, from tag clouds to real-time monitoring, which give you a range of options about how to turn data into visual information that can be important strategic-planning assets.

Yet, despite the fact they are Web 2.0 tools, and thus available for free from a variety of sources, data visualization lags far behind other Web 2.0 tools, such as wikis, blogs, and RSS feeds, as corporate management resources. Instead, we’re usually limited to visualization options that typically bore audiences to tears during PowerPoint presentations: line, pie and bar charts.
That’s a shame, because of several potential benefits that corporations could realize from richer data visualizations that display this information in more complex and insightful ways:

* Take reams of data you collect but are only analyzed historically (I liken it to the last Indiana Jones scene, where the Ark is boxed and stored in a government warehouse: you know it will never be seen again!). Instead, portray them dynamically, in real time, where they can help make immediate decisions.

* Facilitate gathering perspectives from others, especially in free-flowing exchanges that can evoke the “wisdom of crowds” phenomenon, in which the final product of everyone’s contributions is more insightful than the sum of its parts.

* Empower younger employees, and/or those with a special passion about or insights into more obscure issues, who might be reluctant in more hierarchical, linear processes to share their perspectives.

* Rapidly identify “outlier” data, which may identify flaws in marketing or product design that don’t reach these potential audiences.