专栏大数据

How Should we Analyse Our Lives?

A few years ago, Alex “Sandy” Pentland, a professor of computational social sciences at MIT Media Lab, conducted a curious experiment at a Bank of America call centre in Rhode Island. He fitted 80 employees with biometric devices to track all their movements, physical conversations and email interactions for six weeks, and then used a computer to analyse “some 10 gigabytes of behaviour data”, as he recalls.

The results showed that the workers were isolated from each other, partly because at this call centre, like others of its ilk, the staff took their breaks in rotation so that the phones were constantly manned. In response, Bank of America decided to change its system to enable staff to hang out together over coffee and swap ideas in an unstructured way. Almost immediately there was a dramatic improvement in performance. “The average call-handle time decreased sharply, which means that the employees were much more productive,” Pentland writes in his forthcoming book Social Physics. “[So] the call centre management staff converted the break structure of all their call centres to this new system and forecast a $15m per year productivity increase.”

When I first heard Pentland relate this tale, I was tempted to give a loud cheer on behalf of all long-suffering call centre staff and corporate drones. Pentland's data essentially give credibility to a point that many people know instinctively: that it is horribly dispiriting - and unproductive - to have to toil in a tiny isolated cubicle by yourself all day. Bank of America deserves credit both for letting Pentland's team engage in this people-watching - and for changing its coffee-break schedule in response.

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吉莲•邰蒂

吉莲•邰蒂(Gillian Tett)担任英国《金融时报》的助理主编,负责manbetx app苹果 金融市场的报导。2009年3月,她荣获英国出版业年度记者。她1993年加入FT,曾经被派往前苏联和欧洲地区工作。1997年,她担任FT东京分社社长。2003年,她回到伦敦,成为Lex专栏的副主编。邰蒂在剑桥大学获得社会人文学博士学位。她会讲法语、俄语、日语和波斯语。

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