Data Mining Disney – A Magical Experience

Disney Magic Bands
“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 →

Data-Driven Thinking – A Zero-Sum Game

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 →

What Do You Do with Data?

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 →

Can Machines Really Learn?

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 →

Are You Ready for Data Science?

Data science is all the rage.  Almost every CMO I know wants a data scientist for their very own – they are the status symbol du jour for senior executives everywhere.  But… building the right data science team for your organization is not as easy as picking the right data scientist.  Continue Reading →