Human intervention needs to be integrated with data analytics. As I’ve written before, the technical skills of a data scientist are not enough.
So it’s interesting to see how the data analytics article in the latest issue of Harvard Business Review contrasts with what that same publication featured about Big Data just three years earlier.
The data analytics article in the latest Continue reading “More Support for the Shift toward the Softer Side of Big Data” »
Disruptive innovation can be a serious threat in today’s era of rapid change. Yet, it’s easy to overreact when potential disruption looms.
I’ve blogged previously about the danger of panicked responses to potential disruption, a post I wrote in late February 2013 when the March Harvard Business Review cover story stressed the urgency of responding to disruptive threats. Too much emphasis on the urgency, however, can contribute to misguided overreaction.
Now, Harvard professor Clayton M. Christensen, Continue reading “Commonly Misunderstood Disruptive Threats Now Clarified” »
Not long ago, the Chipotle restaurant chain was highly lauded in the media. As McDonald’s struggled and replaced its CEO, Chipotle was heralded as a chain McDonald’s needed to be more like. But, now the tide has turned. Instead of idolizing Continue reading “A Lesson about Admiring and Imitating the Competition” »
Big Data has been highly hyped. Big Data was touted as an all knowing source, where N=all. This would mean that the number of pieces of information we have is so huge, that there is enough data to know just about everything. That sounds wonderful, but we don’t yet Continue reading “Finally, Less Hype, More Reality about Pros and Cons of Big Data” »
As valuable as Big Data can be, Big Data still has the potential to mislead, as I said in previous writing. Recognizing potential problems may help users apply Big Data more effectively, since awareness of a problem can be a first step toward addressing it and eventually obtaining better outcomes. So, it’s encouraging to see the media move away from extolling Big Data’s benefits, and instead Continue reading “Warning: Big Data Can Be Biased, and even “Troublingly Wrong”—Just Like Data Years Ago” »
