Like many around the globe, I've been watching the summer Olympics. And I’ve been struck by two realizations.
The first is obvious, but interesting. Olympic athletes vary greatly in culture, size, and sport, but also in age. A fourteen-year old British athlete partnered in a synchronized diving competition with a man 12 years his senior. And the oldest female gymnast in the Olympics performed - quite competently - next to athletes less than half her age of 33.
The second realization? We see these individual athletes age – and mature – in four year increments. Witness Michael Phelps. Four years ago he was a lanky American, who won a bunch of races. This summer, in Beijing, he displays a maturity brought on by four years, a champion’s focus, and the support of coaches, family, and teammates. The result? An Olympic legend.
So what constitutes “maturity”? Is it age? Experience? Or are those measures irrelevant? And how do you know that you're "mature"? How do you know that you're doing things the "right" way?
Ever since our latest BI Wave was published a couple of weeks ago, I keep hearing comments about why we have not included evaluation of Excel as a BI tool. For example, Rajan Chandras, one of the contributing editors to the Intelligent Enterprise, poses really good arguments in his recent blog on why, when and how Excel can and should be used as a BI tool. Excellent question, everyone!