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Book Description

A non-technical guide to leveraging retail analytics for personal and competitive advantage

Style & Statistics is a real-world guide to analytics in retail. Written specifically for the non-IT crowd, this book explains analytics in an approachable, understandable way, and provides examples of direct application to retail merchandise management, marketing, and operations. The discussion covers current industry trends and emerging-standard processes, and illustrates how analytics is providing new solutions to perennial retail problems. You'll learn how to leverage the benefits of analytics to boost your personal career, and how to interpret data in a way that's useful to the average end business user or shopper. Key concepts are detailed in easy-to-understand language, and numerous examples highlight the growing importance of understanding analytics in the retail environment.

The power of analytics has become apparent across industries, but it's left an especially indelible mark on retail. It's a complex topic, but you don't need to be a data scientist to take advantage of the opportunities it brings. This book shows you what you need to know, and how to put analytics to work with retail-specific applications.

  • Learn how analytics can help you be better at your job
  • Dig deeper into the customer's needs, wants, and dreams
  • Streamline merchandise management, pricing, marketing, and more
  • Find solutions for inefficiencies and inaccuracies

As the retail customer evolves, so must the retail industry. The retail landscape not only includes in-store but also website, mobile site, mobile apps, and social media. With more and more competition emerging on all sides, retailers need to use every tool at their disposal to create value and gain a competitive advantage. Analytics offers a number of ways to make your company stand out, whether it's through improved operations, customer experience, or any of the other myriad factors that build a great place to shop. Style & Statistics provides an analytics primer with a practical bent, specifically for the retail industry.

Table of Contents

  1. Acknowledgments
  2. About the Author
  3. Introduction
  4. Chapter 1: The Changing Face of Retail
  5. Chapter 2: Merchandise Financial Planning
    1. STATISTICAL FORECASTING
  6. Chapter 3: Assortment Management
    1. UNDERSTANDING YOUR CUSTOMER
    2. UNDERSTANDING PRODUCT CHOICE COUNTS
    3. UNDERSTANDING CURRENT PRODUCT PERFORMANCE
    4. PREDICTING THE EVOLUTION OF TRENDS
    5. HOW MUCH TO BUY?
    6. WHAT SIZES DO I NEED?
  7. Chapter 4: Fulfillment
    1. ALLOCATION
    2. ORDER FULFILLMENT
  8. Chapter 5: Pricing
    1. PRICING ANALYTICS
    2. REGULAR PRICE
    3. PROMOTIONAL PRICING
    4. MARKDOWN/CLEARANCE PRICING
    5. PRICING MATURITY AND ORGANIZATIONAL STRUCTURES
  9. Chapter 6: Marketing
    1. DATA
    2. MARKETING CAMPAIGN LIFT ANALYSIS
    3. CUSTOMER LIFETIME VALUE
    4. CUSTOMER SEGMENTATION
    5. THE INTERNET OF THINGS
    6. PATH TO PURCHASE
  10. Chapter 7: In-Store Experience
    1. STORE LABOR FORECASTING
    2. ASSORTMENT OPTIMIZATION
    3. THE INTERNET OF THINGS
  11. Chapter 8: Cybersecurity
    1. EUROPAY, MASTERCARD, AND VISA/CHIP CARDS
    2. CHARGEBACKS
    3. DATA GOVERNANCE
  12. Chapter 9: Customer Journey
  13. Chapter 10: Millie and Boomer: Generations Unified
  14. Chapter 11: How to Gain Personal Value from Analytics
    1. CITIZEN DATA SCIENTIST
    2. CHANGE AGENT
    3. FINDING THE RIGHT FIT
    4. THE VALUE OF ANALYTICS
  15. References and Resources
  16. Glossary
  17. Retail Math
  18. Index
  19. EULA
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