Data-driven Decision Making

“Have a magical day!” is the way Disney cast members wish you farewell. They’re not kidding. The “happiest place on earth” does its best to make it so. The cast members (Disney-speak for employees) help, but Walt Disney World is well on its way to achieving consciousness. How? As Arthur C. Clarke so eloquently stated, Continue Reading →

How can mature brands drive growth? The answer might be found with beer, Pop-Tarts and a simple algorithm. Continue Reading →

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 →

Big Data and Data Science are overused catch phrases that can mean anything anyone wants them to mean. But the hype doesn't change the facts. We are being overwhelmed with data, here's what to do with it. 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 →

In a perfect world, you just hire a bunch of data scientists, have them deploy clever algorithms, and the machine will output a clear path to higher sales, better ROI and world peace. Sadly, that’s not how it works.  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 →