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Visualization speaks louder than words

Taking interactive data to the next level


What would happen if you could visually spot trends, quickly discern hidden weaknesses and share those insights in a powerful way with a click of the mouse? What if you didn’t have to scan dozens of rows of data or endless numbers but could visually query, filter, view and interact with data to understand sales trends or manufacturing miscues?

Visualization helps you see what you can’t always “read.” As Stephen Few, an expert on business intelligence and information design, says, “Visual representations of data take advantage of the unique ability of visual perception to detect meaningful patterns that might otherwise remain hidden. Even highly skilled statisticians recognize when it makes sense to clear their heads of statistics and simply use their eyes to explore data.”

Over the next five years, innovation in business intelligence and performance management will be driven, in part, by business visualization. The many ways that we share and explore information will change as vendors continue to extend capabilities that speed “time to intelligence” for large amounts of data. But what about the visualization capabilities that can help organizations get better ROI from BI and performance management initiatives right now?

Data visualization is already moving beyond the confines of the bar graph, with vibrant data portraits that information producers and consumers can use to explore data from multiple perspectives and in various forms while incorporating as many variables as needed. Whether the output is on your computer monitor or printed in paper format, new visualization technologies can draw an immediate picture of trends and relationships. These user-friendly graphics and interactivity make the technology perfect for marketing, business operations, finance and any situation where pictures speak louder than words.

Simplify insights with visualization
Here’s one way to understand the difference between simply looking at data and actually visualizing what the data is trying to convey. Recently, HBO ran a miniseries based on David McCullough’s book about US President John Adams. The book describes his wife’s decision to have the family inoculated against smallpox, noting that in that era the vaccine came from someone ill with smallpox and that it was a scary undertaking for the healthy. Reading the book, inoculation doesn’t sound too bad. It’s not until you see the miniseries that you understand the graphic nature of 18th century vaccination. In the miniseries, you get to visualize that process: The doctor pulls up to the house with a near-death smallpox victim lying in the cart behind him, eyes glazed over and gripping a crucifix. The doctor lances one of the victim’s poxes to use for vaccination material. The moving images capture the disease’s frightening reality and the harshness of the only known prevention of the time in a way that that can’t quite be captured in a book (or in an article like this!).

Visualization, though, can’t be done solely for visualization’s sake. How often have you seen a graph on a PowerPoint presentation and thought, “That isn’t telling me anything,” or worse, “That’s interesting, but it isn’t helping me understand why.” Strong visualization should simplify insights. It should get you to notice, focus, investigate and act. And it should give your organization a competitive advantage by allowing you to act faster.

Visualization isn’t the same for everyone
We all learn in different ways, and years of experience with business intelligence have taught us that the consumer of information sees things differently than the information explorer or producer. Often, visualization tools are directed at one group or the other. Organizations need to glean and communicate insights in different ways, depending on the groups they are targeting. A business user might need a simple point-and-click option to look at sales data across time and geography for a presentation at a weekly meeting. A statistician might need to produce complex charts that require pulling data and graphics from different sources. Having visual querying and data filters would allow these users to handle unlimited data, rearrange data at will and create interactive tabulations. It is important that visualization take into account both “right-brain” people and “left-brain” people with a solution that allows each to work in ways with which they are comfortable.

Given the amount of data and the power of BI capabilities today, these features and capabilities should also be considered when looking at ways to visualize data:

Creating high-resolution/high-impact dashboards. A dashboard that says, “Sales are up 10 percent in the third quarter” is too simplistic for most businesses. Can you provide at a glance the forecast for future sales or product warranty issues two months ahead? Eight months from now? A year? The ability to bring high-impact predictive insights and analytics to the dashboard is critical. Imagine the performance, planning and forecasting improvements that come when data is presented in an easy-to-understand visual format.

Incorporating data movement. Often, with large amounts of data, insights can be “now you see it, now you don’t.” When the images move, it is easier to see the impact of multiple variable relationships. Data movies anchor the pattern of that trend in a business user’s mind. For example, in genomics, the ability to plot millions of data points and show the movement over time is critical.

Adding traditional video. What if you are in charge of airline operations and your dashboard shows a dramatic spike in delayed flights? The ability to check video feeds of the ground operations at your major hubs would invaluably aid the dashboard.

Great business intelligence solutions exist, and so do excellent visualization graphics – but they typically exist in separate worlds. The richest BI solutions have often been designed with the analyst in mind – someone who can discover what the businessperson finds indecipherable. The most expansive visualization tools, meanwhile, are often standalone products that can’t always integrate easily or successfully with cutting-edge BI capabilities. They leave the analyst with the capability of creating pretty – but ultimately shallow – graphics.

If your BI solution is giving you more data than your business user can easily consume, if your analysts and information explorers chafe at the simplicity of the visualization tools you’ve given them, take time to look for solutions that fuse these two elements into a seamless process that benefits users and producers alike. Visualization helps you understand trends faster. And faster, data driven decisions always result in greater marketplace success.

Bio: Tammi Kay “TK” George is Business Intelligence Product Marketing Manager for SAS.

Tammi Kay "TK" George is Business Intelligence Product Marketing Manager for SAS.

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Read more from TK

You can find regular insights from Tammi Kay (TK) George on her blog, BI and Chicken Pot Pie, including clever remarks like this:


Is BI dead? My answer is no. I think BI is at a completely different stage of the life cycle. BI is graduating from college and finally has to answer the question, “What the heck am I going to do NOW? And who is going to foot the bills?” It’s been awhile, but I distinctly remember that while facing those issues back in the day when I matriculated from Meredith College felt distinctly like facing death ... in reality these are just growing pains to maturity.

This story appears in the Third Quarter 2008 issue of