It's not hard to find truly awful representations of information.
Some work in concept but fail because they are too busy; they confuse people more than they convey information. Visualization for the sake of visualization is unlikely to produce desired results--and this goes double in an era of Big Data. Bad is still bad, even and especially at a larger scale.
Like all sentient beings, we humans have always processed information in different ways, or at least attempted to do so. Many researchers have proven that there is something unique about how we see information, as opposed to how we hear it.
That humans tend to comprehend visual information quicker than raw data doesn't mean that all visualizations are created equal. On the contrary, we understand certain types of graphical representations better than others.
The main goal of data visualization (dataviz) is its ability to visualize data, communicating information clearly and effectively. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex dataset by communicating its key aspects in a more intuitive way. The long-term aims of dataviz is making better business decisions and even prediction.
Dataviz shares the same ultimate goal with data mining, business intelligence (BI), analytics and enterprise reporting: to make more informed business decisions. Contemporary dataviz is primarily a means of exploring data and discovering valuable insights.
Big Data is here, leaving many organizations and their employees overwhelmed. Fortunately, new data-visualization applications are helping enterprises isolate the signal in the noise. For instance, through interactive dataviz tools, Netflix discovers trends, diagnoses technical issues, and unearths obscure yet extraordinarily valuable customer insights. Employees at Autodesk use a remarkable and interactive tool that visualizes current and historical employee movement. From this, they identify potential management issues and see what a corporate reorg really looks like.
Amidst all the hype and confusion surrounding Big Data, though, a new type of enterprise is emerging: the Visual Organization. An increasing number of organizations have realized that today's ever-increasing data streams, volumes and velocity require new applications. In turn, these new tools promote a different mind-set--one based upon data discovery and exploration, not on conventional enterprise reporting. Interactive heat maps, tree maps and choropleths promote true data discovery more than static graphs and pie charts.
The Visual Organization is largely a positive and forward-thinking book. In its pages, you'll meet some amazing companies and people who recognize the power of Big Data and dataviz. They are pushing the envelope and looking at problems very differently than their data-challenged counterparts. And they are seeing their efforts bear fruit.
Source: Phil Simon: The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions (Wiley and SAS Business Series)
More on Big Data Visualization at:
http://inspire.blufra.me/big-data-visualization-review-of-the-20-best-tools/