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Informationen zum Autor BRITTANY BULLARD is a Solutions & Analytical Consultant in the Retail and Consumer Packaged Goods Practice at SAS Institute. At SAS, she assists retailers in driving profitability through the use of powerful analytics. During her nine years of retail industry experience, she implemented, managed, and took part in planning solutions for allocation, replenishment, forecasting, location planning, and assortment. Klappentext Independent shop owners have the benefit of knowing each customer by name, understanding their style and dislikes, and reaching new customers by referral and local advertising. That type of personalized service and promotion is simply out of reach for big brands and retailers. Style & Statistics takes the powerful insight of data analytics and puts it in your hands to ensure a personalized, white-glove treatment for every customer, no matter how many there may be. As comprehensive as it is approachable, this groundbreaking new guide unlocks the digital world of retail for the people who can do the most with the information. While in-house executives and buyers may never meet in-store sales staff, their ability to excel at their jobs is intimately entwined, and this holistic approach illuminates a path to breaking down the silos in a retail organization through shared data and insight. Conversational examinations of each business component highlight the practical functions and obstacles professionals encounter on a daily basis and then demonstrate how data analytics can be applied to improve overall business performance, customer satisfaction, and as a result, profitability. Inspiring examples of a variety of retailers reveal you don't need any experience in mathematics or IT to effectively use analytics to enhance your contributions and value to your company. Keep this practical guide on hand while you: Use an analytically optimized process to have the right garment, in the right location, at the right price when the customer wants it Engage with your customer to communicate the most relevant merchandise and relevant offers--and through the right means of communication--to drive customer loyalty and a path to purchase Proactively apply machine learning, predictive analytics, and other cybersecurity tactics to reduce the costly risk of fraudulent purchases and suspicious activities Discuss your new understanding of retail analytics to land a job and further your career Style & Statistics shows you how to achieve your highest goals by adding scientific control to the art of retail. Zusammenfassung A non-technical guide to leveraging retail analytics for personal and competitive advantage Style & Statistics is a real-world guide to analytics in retail. Inhaltsverzeichnis Acknowledgments ix About the Author xi Introduction 1 Chapter 1 The Changing Face of Retail 5 Chapter 2 Merchandise Financial Planning 15 Statistical Forecasting 21 Chapter 3 Assortment Management 29 Understanding Your Customer 31 Understanding Product Choice Counts 35 Understanding Current Product Performance 38 Predicting the Evolution of Trends 43 How Much to Buy? 47 What Sizes Do I Need? 51 Chapter 4 Fulfillment 57 Allocation 58 Order Fulfillment 65 Chapter 5 Pricing 71 Pricing Analytics 77 Regular Price 84 Promotional Pricing 85 Markdown/Clearance Pricing 94 Pricing Maturity and Organizational Structures 97 Chapter 6 Marketing 99 Data 100 Marketing Campaign Lift Analysis 106 Customer Lifetime Value 108 Customer Segmentation 110 The Internet of Things 112 Path to Purchase 114 Chapter 7 In-Store Experience 119 Store Labor Forecasting 120 Assortment Optimization 121 ...
