2010 Dashboards Experimentation Optimization 
O'Reilly on Data
JULY 25, 2023
To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.
Occam's Razor
SEPTEMBER 15, 2014
In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Media-Mix Modeling/Experimentation. You can also play with their mobile app tracking and data using their live dashboard/solution set. Media-Mix Modeling/Experimentation.
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Occam's Razor
JULY 26, 2010
Look at your most important work / report / dashboard. We do reports / dashboards like this one all the time: Ok great. Now go find your dashboards, your reports, your data pukes (sorry!) Or the Bulletin of Experimental Treatment for AIDS. Once again going one step deeper, up a notch. And so on and so forth. or whatever.
Occam's Razor
MARCH 23, 2010
My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. This is sad. Even a little frustrating. Likely not.
The Unofficial Google Data Science Blog
OCTOBER 12, 2017
More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.
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