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> Predicting Consumer Tastes with Big Data at Gap

商品編號: 9-517-115
出版日期: 2017/05/30
作者姓名:
Israeli, Ayelet;Avery, Jill
商品類別: Marketing
商品規格: 27p

再版日期: 2018/03/19
地域:
產業:
個案年度: 2016 -  2017

 


商品敘述:

The Inside the Case video that accompanies this case includes teaching tips and insight from the author (available to registered educators only). Teach this case online with new suggestions added to the Teaching Note. CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big data obtained from Google Analytics and the company''s own sales and customer databases to select the next season''s assortment. Peck was betting that intelligence fueled by big data could outperform a fashion industry creative director at predicting the future fashion trends and tastes of consumers.


涵蓋領域:

Big data;Brand management;Data mining;Market analysis;Predictive analytics;Product development


相關資料:

, (9-518-053), 38p, by Ayelet Israeli, Jill Avery;
, (7640), 0p, by Ayelet Israeli