2. Please read the Harvard Case study "Flashion: Art vs. Science in Fashion Retailing," by K. Ferreira and K. R. Lakhani in your course pack. We are going to have class discussion on this case. (25 points are dedicated to your class discussion and discussion) Please answer the following questions: a) Kate Wilson reached out to Flashion's IT group and requested sales data of first exposure styles sold in the past. "Flashion Data.xls" shows a subset of this data for products in three departments sold in the fourth quarter of 2016. Which characteristics of first exposure styles and their events are likely important in predicting product demand? What additional data should Wilson request from IT to assist with predicting demand of new styles? (15 points) b) What considerations should Wilson take into account when developing a new pricing approach? Should this new pricing approach be fully driven by data and analytics? (10 points) c) Assume Wilson has developed a new data-driven, analytical pricing approach. Outline an implementation plan for her to roll out this approach at Flashion. What obstacles might she face? (10 points) I