Early this summer, data analysts found an interesting trend in the analysis of Alibaba's bra sales: women who bought bigger sizes spend more money. Alibaba's analysts divided bra consumers into four categories according to their online spending power. They found that 65% of women who bought B cup belong to "low online spending power" category, while most of women who bought C cup or bigger sizes have "medium" online spending power or above.

　　夏初，數據分析師在分析阿里巴巴[微博]內衣銷量的時候發現一個有趣的趨勢：購買內衣罩杯越大的女性花的錢越多。阿里巴巴分析師將內衣消費者按其購買能力分成了四類，他們發現65%的B罩杯女性都屬于“購買能力低”這一類，而C及以上罩杯的女性大部分購買能力都是“中等”或以上。

女生胸越大，越敗家

　　The reason might be that those who bought B cup are young women with low purchasing power. And this is just one piece of information sorted out from millions of orders each day on Alibaba's e-commerce payment platform.

　　原因可能是買B罩杯的都是購買能力較弱的年輕女性。而這僅僅是阿里巴巴從其電子商務支付平臺每日上千萬訂單里面梳理出來的一條信息而已。

　　In the "double eleven" shopping spree, Alibaba's sales volume reached the peak of 2.85 million per minute, and the transaction volume of Nov. 11 reached 9.3 billion dollars. This day tested the Alibaba's data mining capabilities. Its Vice Chairman Cai Chongxin told the reporter in Hangzhou – where Alibaba's headquarters is based in, "We only saw the tip of the iceberg. These data can make the operation more efficient, our customers more satisfied, but the utilization of these data is less than five percent. "

　　雙十一阿里巴巴高峰期的交易量達到每分鐘兩百八十五萬，一天下來的成交量達到了九十三億美元。這一天檢驗了阿里巴巴的數據挖掘能力。阿里巴巴副董事長蔡崇信在杭州——阿里巴巴的大本營——對本報記者說：“我們現在看到的只是冰山一角。利用這些數據可以讓運營更高效，讓我們的顧客更滿意，但我們現在的利用率還不到5%。”

　　On the whole day of November 11, Alibaba's data analysis team and operational managers were paying close attention to and analyzing in real time the transaction data to ensure communication and coordination between customers and their logistics partners and normal supply and delivery. And data collected on that day is also of great use in the long run. Managers were also concerned about customers’ choice of payment methods, to see if they were using smart phones for ordering. Alibaba is accused of losing ground to its rival Tencent in the mobile platform. So it has been in hot pursuit, and plans to make Alipay listing.

　　雙十一一整天下來，阿里巴巴的數據分析團隊和運營經理都密切關注和實時分析網站上的交易數據，以保證與客戶和物流合作伙伴溝通協調好，確保供應和交貨正常進行。而且雙十一收集的數據長遠來看也大有用處。管理者也關注顧客選擇的支付方式，看他們是否使用智能手機下單。阿里巴巴被指在移動平臺方面不及對手騰訊，所以一直在猛追，并計劃要讓支付寶上市。

　　According to a report of industry research firm Gartner in 2013, Alibaba, like Japan's Rakuten and Amazon, are using predictive data analysis, and only less than 5% of e-commerce companies are engaged in this work. China's middle class is growing, but the study of this group is far from enough, so China is expected to be one of the most important data markets.

　　根據高德納咨詢公司一份2013年的報告顯示，阿里巴巴和亞馬遜及日本樂天市場一樣，都使用預測性數據分析，而電子商務公司里從事這項工作的不及5%。中國的中產階級正在不斷壯大，但對這個群體的研究還相對不夠，所以中國有望成為世界最重要的數據市場之一。

　　But sometimes the data make people confused. Jingdong found that sales of IPHONE5 were nine to ten times higher than usual on "double eleven". Gartner did not know why. In 2012, Alibaba was surprised to find that the day's top-selling product in the western inland Xinjiang turned out to be bikini (boyfriends and husbands buy bikini drop hints that they will take their partners out on vacation).

　　但是數據有時候也讓人想不明白。京東發現雙十一那天IPHONE5的銷量比往常高了九到十倍。高德納也不知道是什么緣故。2012年，阿里巴巴驚奇地發現，雙十一在西部內陸新疆銷量最高的竟然是比基尼(男朋友和老公購買比基尼暗示對象會帶他們出去度假)。