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Analytics for retail : a step-by-step guide to the statistics behind a successful retail business
Author
Title
Analytics for retail : a step-by-step guide to the statistics behind a successful retail business / Rhoda Okunev.
ISBN
9781484278307
1484278305
9781484278291
1484278291
Edition
[First edition].
Publication
New York, NY : Apress, [2022]
Physical Description
1 online resource (157 pages) : illustrations
Local Notes
Access is available to the Yale community.
Notes
Includes index.
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.
Variant and related titles
Step-by-step guide to the statistics behind a successful retail business
O'Reilly Safari. OCLC KB.
Other formats
Original
Format
Books / Online
Language
English
Added to Catalog
August 03, 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. .
Subjects
Genre/Form
Electronic books.
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