I recently came across an interesting thread on Quora entitled “What is a data scientist?” The thread had 85 responses, and while no consistent definition emerged, perhaps the most popular was a variation on this this tweet by Josh Wills: After reading all the replies, as well as some of the linked articles and blog posts on
Anyone looking for things to read on analytics these days certainly has a lot to chose from. There seems to be no end to books and articles that explain or explore this topic. I am going to wade into this crowded space with my own view on a particular aspect of this issue, namely, how analytics-bases companies actually work, and, more importantly, create value in
I recently published a post about what I call the “Linn Effect,” which occurs when technological innovation creates more problems than it solves. That post came to mind as I thought about the latest challenge that Google is facing in Europe: giving people the ability to erase all or part of their digital history —
FT.com has an interesting interactive page where you can estimate the value of your personal data, based on several demographic characteristics. The calculator accompanies a short piece that analyzes just how little individual data is worth in the open market. As the piece notes: The sheer ubiquity of details about hundreds of millions of consumers
VOX blog has an interesting analysis of Catholic populations and the potential power shift signaled by the election of the first American Pope: http://www.voxeu.org/article/voting-theory-and-papal-conclave
There may be no more common external risk facing SC managers today than weather risk. Up and down the value chain, producers, processers and retailers are all impacted in one way or another by climate and climate volatility. Yet only a small number of firms make a serious and consistent effort to model weather risk
A link to my 2010 paper on the case for outsourcing supply chain analytics: Alvarenga_SCM Outsourcing_2010.
