I’m using BuzzData. It’s pretty awesome. From their own description of what it is: Data should be free-flowing, well-organized and easy to share. Wouldn’t it be nice if there was a place where you could store, share and show off your data with just a couple of mouse clicks? BuzzData lets you publish your data in a smarter, easier way. Instead of juggling versions and overwriting files, use BuzzData and enjoy a social network designed for data. Keep data simple. Use BuzzData.” What’s quite remarkable is the combination of technologies used to solve a very real problem. It’s important for marketing scientists, analysts, data scientists, and technologists alike to exchange real data and replicatable proof that things are the way[…]
Month: August 2011
Two trends, an exponential increase in data produced, and a linear increase in the number of analysts produced per quarter, continue pose a massive challenge to businesses and analytics practices alike. We need both physical technology and social technology to practice analytics at scale. There are three grouping of physical technologies: First, there’s instrumentation technology that we use to measure and record the world around us. Second, there’s analysis technology that we use to understand the data that’s coming. Third, there’s presentation technology that we use to communicate a world view, and what to do next. On the instrumentation technology side, we’ve all had a few challenges with instrumentation as of late. Specifically, the understanding of definitions, their impacts,[…]
How will we measure attention when you can play an app on your TV? It’s coming, and the future won’t be the walled garden offered by WebTV. TV came to the Internet through YouTube and Hulu. Now the Internet will go to the TV through open boxes, possibly a new device that completely blurs the line between a computer, a set top box, and a tablet. The digital medium has the ability to capture ‘the event’, and it’s through these events that we create spectacular pictures of how people consume media. If I’m generating events through an App while watching TV, what’s the attribution model for TV? Will broadcasters let go of their methods for measuring attention? No. From their[…]
Eric Peterson, who some of you may recall from interview questions and repeated WAW discussions, asked: “What do you think? Is web analytics hard because the tools are hard to use?” And this thread really got going. Check it out. This is all fairly predictable, and it always ends in detente. You may recall a lot of annoyance within the web analytics community back in late 2009. There was one in 2007. I didn’t self-identify as a web analyst for the 2005 iteration, but I’ve seen fingerprints of it. It’s recurring and predictable. It’s akin to the periodic “Information Architecture is DEAD!” line that appears so frequently at their conference that it might as well become a lolcat meme. So,[…]
I have a few questions I’d love to answer in any forthcoming Google+ Analytics package. These include: What is the Recency-Frequency curve of viewing and posting for Google+ users? Can we accept or reject the Zuckerberg Hypothesis of List-Making? What are the characteristics of UGC content that is shared and plused the most often? What is the relationship between circle views, stream activity and UGC post frequency to those circles? What is the relationship between the number of those in a circle and post frequency? What is the average post frequency that results in somebody being booted from a circle and placed into a new circle (or deleted altogether for posting too hard)? Do Circles cause organic community of interest[…]