MIS-FAST FASHION, BIG DATA, AND ZARA

소개

"MIS-FAST FASHION, BIG DATA, AND ZARA"에 대한 내용입니다.

목차

1. Considering the example of the Japanese customer who wanted to buy a scarf, what methods does Zara use to analyze and predict customer behavior? Does data analytics help Zara know their customers better than they know themselves?
2. Zara sources its products mostly in Europe. Give a list of advantages and disadvantages of sourcing in countries like Spain and Portugal as opposed to sourcing in, for instance, Bangladesh
3. At the headquarters of Zara in Spain, the staff in the data room have an overview of the stocks that sourcing companies have of the fabrics needed to produce its clothes. Explain why this overview is essential for a fast-fashion company like Zara.
4. What does Zara mean by “location intelligence”? Is this a good way to draw customers to physical shops and convince them to not do their shopping online?

본문내용

1. Considering the example of the Japanese customer who wanted to buy a scarf, what methods does Zara use to analyze and predict customer behavior? Does data analytics help Zara know their customers better than they know themselves?
In the conclusion data analytics help Zara know their customer better. Zara collect what customer like and why by analyzing how many times individual items of clothing leave the shelves to be tried on in dressing room. Data is continuously being analyzed to find out which fabrics are popular and which colors are preferred by customers.

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