June 17, 2014• 2 minute read
The world is producing fascinating data at an unprecedented pace, on subjects ranging from air quality in Chicago, to the economics of healthcare, to tattoo trends in the NBA. Hidden in this data is a wealth of insights. We're not uncovering them fast enough.
We started Mode last August to make data analysis more open and collaborative. We believe that, when empowered to work together, analysts can significantly speed up how quickly we learn from data. Today, we open Mode to public beta.
January 30, 2014• 7 minute read
What makes a good startup founder? It’s a question asked from all angles, on topics ranging from education to technical literacy to personality types. But one of the most interesting debates centers around founder experience.
January 16, 2014• 3 minute read
January 3, 2014• 5 minute read
If one thing is universally true about New Year’s predictions, it’s that they are extrapolations of existing trends. Most published predictions about Big Data in 2014 have to do with enterprise adoption of various technologies because, among other reasons, those trends are more visible. The predictions in this post are a little different. They’re based on experience in the Data Analysis startup community (as opposed to the larger Big Data market), which is a little more hidden, and where some particularly exciting trends are emerging.
September 2, 2013• 5 minute read
For the last several days, the internet has been abuzz about the MTV Video Music Awards. Most of the attention has focused on Miley Cyrus' on-stage antics, leaving some of us longing for a deeper analysis of the actual competition. If Grantland can dedicate 3,000 words to the 33-49 Portland Trail Blazers, don’t we deserve to know, empirically, if #thatPower by will.i.am and the Biebs had better choreography than that in the Pitbull and J-Lo collaboration Live It Up? Is that really too much too ask?