Data Science

We deal with trade-offs all the time. “You can have it good, fast or cheap... pick any two.” The implementation constraints for this decision tree are clear-cut and obvious. If you want it good and fast, it won't be cheap. If you want it fast and cheap, it won't be good. If you want it good and cheap, it won't be fast. Continue Reading →

Millennials empirically know that bar crawling is for recreation – not for archaic, time-wasting, low-percentage mating rituals.  If you want to meet someone, there are any number of big dating sites and apps available. Continue Reading →

Technological advancements always empower people to behave differently – what makes today different is that the rate of technological advancement is accelerating beyond our capacity, perhaps even our ability, to react – and this... is new. Continue Reading →

Data is more powerful in the presence of other data. That is a hard, fast, immutable law. But what do you do when you run out of first party data (the data you collect yourself)? Or, what if you simply don’t have enough meaningful data to build the model you need for your particular program? Continue Reading →

It’s Advertising Week here in New York and I’ve been listening to presentation after presentation about the new, new thing … Local Advertising. So, here is an excerpt from my upcoming book, “Digital Leadership: How to Succeed in a Connected World,” about the complete myth of local advertising. Harry emailed me the other day. He Continue Reading →