Question

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? Why? (Note: Need an answer of 1 -2 pages)

Answer 1

Here we will discuss if the significant data project work for all the three japan corporation primary brands such as the old navy coma gap and Banana Republic.

It is also gets considered that the Banana Republic of the incorporation is known to be one of the essential primary brands which relatively has more customers or clients in comparison to other primary brands. The customer base is relatively good for which the Banana Republic does not require a fascinating classic look, but it also has the most significant inside of the information collection that get come handy in the product diversity. When it comes to the gap and the old navy it gets considered the boat also have a complete customer base and all number of income brackets to get touched along with the introduction of the three-point of under the consideration of Banana Republic and the gap was comparatively less expensive than the old navy and the Banana Republic. Gap does not rely on the feedback, which is the notable drawback because, without the feedback, the customer does not feel much satisfied. Therefore, if we talk about the butter sliced that was served by this strategy, it would be the gap because it does not mean we rely on the feedback that does not satisfy the customers and is the biggest drawback for the gap incorporation. Customer satisfaction is paramount in any organization, which serves the more significant benefit to the company's and its smooth functioning; therefore, it should also be in touch in the proper feedback aspect. The target customers should be the predominant only female and interested in a classic look, which also serves The Banana Republic beneficial option of getting into the variability in the design for the brand in gas compared to other brands in the market. Big data project as the collection of a series of data, which are helpful for newly invented trends that can help get the desired product according to the customization standardization of the customers.