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Predicting consumer tastes with big data at gap case solution

05/04/2021 Client: muhammad11 Deadline: 2 Day

I’m trying to study for my Article Writing course and I need some help to understand this question.

Writing 600-700 words (no less than600)

first step: following the requirement and rubric (attachment1)

second step: reading the article (Predicting Consumer Tastes with Big Data at GAP (attached)) to answer questions

PLEASE using simple words and simple grammar structure !!Please watch the follow two short videos (8 minutes in total) BEFORE you start working on the case analysis) About the case study method and case analysis  http://www.youtube.com/watch?v=KlTfuv1BLCs&t=2m0s  https://www.youtube.com/watch?v=wxTXc5VZGnw FASH330 Spring 2019 Gap Big Data Case Study Readings: 1. Predicting Consumer Tastes with Big Data at GAP (attached)—It is strongly recommended that students print out the case material for this assignment. 2. Short Video: https://www.youtube.com/watch?v=igoV4UML0WY Learning Objectives 1. Deepen students’ understanding of the following topics:  The importance of striking a balance between art and science in fashion merchandising  The value and limits of using big data and predictive analytics for predicting consumer tastes  The impact of digital technology in shaping the new landscape of fashion merchandising and apparel retail businesses 2. Improve students’ critical thinking and analysis skills; 3. Develop students’ teamwork skills; Requirements Important reminders about doing the case study: 1) Case study means you put yourself in the particular scenario described in the case. 2) This is a decision case. You are expected to analyze the decision options, decision criteria and relevant evidence presented in the case. However, there is no objectively correct decision. The standard for a good decision is the one that creates more benefits than the alternatives and has fewer or less severe downsides. 1. Case analysis assignment (15 points) Please write a no less than 600-word case analysis, evaluating Art Peck’s big data strategy at Gap Inc. The case analysis shall follow the structure below and include the section title.

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