Harvard Business Case: Predicting Consumer Taste with Big Data at Gap
Does the big data approach work for all three of Gap Inc.’s primary brands: Old Navy, Gap, and
Banana Republic? Why or why not? Which brands are better/worse served by this strategy and
why?
Big data approach shows the negative impacts on the Gap’s Inc primary brands i.e. old navy, Gap and the banana republic. The negative impacts on the brands are based on the market wish and they also had different positions in the market. These brands approach the customers in three different ways like Gap approach a group of people and it was the American brand, Old navy approach the group of masses where they are fashion conscious and banana republic approaches the people who are above the poverty line. These are some of the different ways Gap’s products reach the customers taste. According to my point of view, by using the big data approach Gap had faced the risk for gaining the approach. Banana republic has served worst in my point of view because these products reached very less amount of people so that they can serve the products to all the group of masses.
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