I am a better employee because of fantasy football

On first glance, the analytical data I use on a daily basis doesn’t seem to relate to fantasy football, but just like most analytics data, digging deeper will allow you to find the connection. Analytics is not actually about the numbers themselves, but using those numbers to paint a picture or tell a story about the data. Looking at fantasy football metrics is exactly the same.

Point #1: Look at full data sets, not just isolated samples. When trying to draw conclusions, it’s very easy to look at a small set of data that proves the points you want to prove. Proving that a certain auto dealership has improving numbers is somewhat useful, but without data on all other dealerships, it’s not especially relevant. One store’s increase in unique visitors could be a moot point if the site went up on the whole, or it could be even more impressive if the site average went down. The same applies to fantasy football. If a WR or RB has an especially good week, look at the whole team. Did other players on the team do well? Maybe the QB threw 5 TD passes, and your star WR pickup is really just regular. Also pay attention to the defense they put up numbers against. Kevin Ogletree put up extremely good numbers against the Giants in week 1 this season, but the Giants defense was depleted. Once he had to play more well-rounded defenses, his numbers came back down to earth. [keep reading]

Findings on Google Analytics

Google Analytics is a treasure trove of great information for brands. It is also chock full of borderline useless information. Not as useless as knowing a hubcap was stolen from three separate cars in Methuen, Massachusetts, but close. Actually, depending on your love of interesting factoids, Google Analytics is an excellent source of data. It’s a way to feel the pulse of your user base, where visitors are coming from and what kind of software they’re using.  It’s like Facebook creepery for nerds. Keep reading to see what we found.

Plant Creepers

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