2014年大數(shù)據(jù)行業(yè)最頂尖的人才有哪些?《財(cái)富》選出20位明星
????Rent the Runway首席分析官維賈伊?蘇伯拉馬尼安 ????第一眼看去,在這樣一家經(jīng)營(yíng)時(shí)尚業(yè)務(wù)的公司里,維賈?蘇伯拉馬尼安的工作貌似并不光鮮。不過(guò)作為時(shí)裝租賃服務(wù)Rent the Runway的首席分析官,恐怕很少有人對(duì)女性時(shí)尚潮流的理解比他更深了。2010年,他加入公司不久后,便構(gòu)建了一個(gè)評(píng)估模型,能夠估算漏掉的需求、產(chǎn)品壽命以及庫(kù)存服飾的使用場(chǎng)合。由于公司每個(gè)季度都要從時(shí)裝設(shè)計(jì)師那里購(gòu)入成卡車的時(shí)裝首飾租給顧客,因此維賈的模型可以說(shuō)給公司省了一大筆錢。他表示:“如果你把三個(gè)數(shù)據(jù)來(lái)源放在一起,你就可以建立一個(gè)體現(xiàn)購(gòu)物習(xí)慣的模型框架。它告訴我們應(yīng)該去找哪種風(fēng)格的衣服,才最有可能讓我們穿出明星范?!薄?dāng)然還有盡量要避免哪種搭配。維賈的下一個(gè)項(xiàng)目是整合Unlimited反饋的新型數(shù)據(jù)——Unlimited是該公司為了進(jìn)軍日常便服領(lǐng)域而推出的一個(gè)項(xiàng)目。維賈表示:“我們的經(jīng)典模型都圍繞著你要去的重大場(chǎng)合。你可能穿衣比較前衛(wèi),但如果你出席正式場(chǎng)合,你自己的穿衣風(fēng)格就不重要了,重要的是適應(yīng)場(chǎng)合。而Unlimited則是理解用戶穿衣風(fēng)格的開(kāi)始。”——Andrew Nusca |
????Vijay Subramanian, Chief Analytics Officer, Rent the Runway ????At first glance, it might look like Vijay Subramanian has a less-than-glamorous job at a decidedly high-wattage company. But as Rent the Runway’s chief analytics officer, no one is plugged into women’s style trends quite like he is. Not long after he joined in 2010, Subramanian built a model to estimate missed demand, product longevity, and occasion usage for the company’s inventory—a huge cost-saver for a company that buys truckloads of dresses and accessories from fashion designers every season to rent to customers. “If you bring the three data sources together, you can create a framework for how you’re buying,” he says. “It tells us what kind of styles to look for that give us the highest probability of being a star”—and which combinations to avoid, of course. His next mission? Incorporate new types of data from Unlimited, the company’s major new expansion into everyday wear. “Our classic model is all driven by the event you’re going to. You may have an edgy streak, but if you’re going to a black tie wedding, it doesn’t matter what your true style is. It matters within context,” he says. “Unlimited is the beginning of understanding the user’s style DNA.” —Andrew Nusca |
-
熱讀文章
-
熱門視頻