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Analytics for Retail A Step-by-Step Guide to the Statistics Behind a Successful Retail Business

Title
Analytics for Retail [electronic resource] : A Step-by-Step Guide to the Statistics Behind a Successful Retail Business / by Rhoda Okunev.
ISBN
9781484278307
Edition
1st ed. 2022.
Publication
Berkeley, CA : Apress : Imprint: Apress, 2022.
Physical Description
1 online resource (XIV, 150 p.) 31 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
Examine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data. This book focuses on useful and imperative applied analytics needed to build a retail business and explains mathematical concepts essential for decision making and communication in retail business environments. Everyone is a buyer or seller of products these days whether through a physical department store, Amazon, or their own business website. This book is a step-by-step guide to understanding and managing the mechanics of markups, markdowns, and basic statistics, math and computers that will help in your retail business. You'll tackle what to do with data once it is has accumulated and see how to arrange the data using descriptive statistics, primarily means, median, and mode, and then how to read the corresponding charts and graphs. Analytics for Retail is your path to creating visual representations that powerfully communicate information and drive decisions. You will: Review standard statistical concepts to enhance your understanding of retail data Understand the concepts of markups, markdowns and profit margins, and probability Conduct an A/B testing email campaign with all the relevant analytics calculated and explained.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 05, 2022
Contents
Chapter 1: The Basics of Statistics
Chapter 2: The Normal Curve
Chapter 3: Probability and Percentages and Their Practical Business Uses
Chapter 4: Retail Math: Basic, Inventory, Productivity, and Growth Rate Metrics
Chapter 5: Financial Ratios
Chapter 6: Using Frequencies and Percentages to Create Stories from Charts
Chapter 7: Hypothesis Testing and Interpreting Results
Chapter 8: Pearson Correlation and Simple Regressions
Chapter 9: Independent t-test
Chapter 10: Putting it all Together: An Email Campaign
Chapter 11: Forecasting: Planning for Future Scenarios
Chapter 12: Epilogue
Appendix A: Accounting Spreadsheet
Appendix B: Book Email Spreadsheet
Appendix C: Forecasting Spreadsheet
Appendix D: Data Types
Appendix E: Math Review. .
Also listed under
SpringerLink (Online service)
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