In the early 1900s, author Kin Hubbard said, “A bee is never as busy as it seems; it’s just that it can’t buzz any slower.” A century later, things haven’t changed much — except that today, those bees are us and that buzzing comes from our mobile phones.
Survey data tells us that consumers regard their mobile phones as catalysts for productivity. Considering the amount of time consumers spend using the device and how essential they characterize the technology to be, it’s easy to take their word for it. But not so fast: Mobile tracking metrics show that consumers rarely ever conduct productivity-related tasks on their devices. In fact, the official US productivity rate has dropped to its lowest point in the past two decades.
In this case, the conflicting data points are not wrong, they are complementary — and the resulting insight is even more valuable than the sum of its parts. A combination of Forrester’s Consumer Technographics® data, mobile tracking numbers, and ConsumerVoices output reveals that consumers engage far less frequently in productive behaviors than expected — and suggests a new understanding of what “mobile productivity” really means.
In my previous post, I covered the increasing popularity of "infographics" — both the term and the wide range of examples. I cautioned against unthinking imitation; like most trendy things, their surface shine can distract from their bad qualities, and it’s easy to lose sight of basic principles and objectives. And this distraction is partly to blame for the currently polarized perception of bar charts, which are seen as both antiquated and ideal.
Both Forrester clients and internal colleagues often tell me “We want something better than bar charts” when describing how they would like to see their data visualized. At the same time, I also hear from others, jaded by the onslaught of overdesigned data graphics, who insist there is nothing better or more accurate than bar charts when it comes to visualizing and comparing data points. They don’t need all the “bells and whistles.” “Edward Tufte!” they cry.
So, what’s causing this divide? How can a chart type be so polarizing? I think the answer lies in both the implied perception of bar charts as this basic, limited chart and the array of bad examples of both alternative visualization methods and bar charts themselves.
As the newest blogger for the Data Insights blog, please allow me to introduce myself. My name is Ryan Morrill, and I am a senior data visualization specialist at Forrester. In that role, I’m responsible for creating insightful and engaging graphical stories by exploring the most effective ways to visually represent data and information. I’m really looking forward to sharing my thoughts and lessons learned about data visualization through this blog.
Infographics are popular —or at least the idea of them is popular — and everyone wants to know if, how, and when they should jump on board. Most of the questions I receive from Forrester clients about data visualization relate to "infographics": Should we be using them? How effective are they? What are infographics exactly? How do we make them ourselves?