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ANALYTICS FOR RETAIL: STEP-BY-STEP GUIDE TO STATISTICS

Mathematics

Mathematics & Science

Probability & Statistics

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

<P>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. This book is your path to creating visual representations that powerfully communicate information and drive decisions. You'll learn to: review standard statistical concepts to enhance your understanding of retail data; understand the concepts of markups, markdowns and profit margins, and probability; and conduct an A/B testing email campaign with all the relevant analytics calculated and explained. This book is a primer book for anyone in the field of retail that needs to learn or refresh their skills or for a reader who wants to move in their company to a more analytical position.</P>

Analytics for Retail

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
About the Author.
About the Technical Reviewer.
Introduction.
1: The Basics of Statistics.
2: The Normal Curve.
3: Probability and Percentages, and Their Practical Business Uses.
4: Retail Math: Basic, Inventory/Stock, and Growth Metrics.
5: Financial Ratios.
6: Using Frequencies and Percentages to Create Stories from Charts.
7: Hypothesis Testing and Interpretation of Results.
8: Pearson Correlation and Using the Excel Linear Trend Equation and Excel Regression Output.
9: Independent T-Test.
10: Putting It All Together: An Email Campaign.
11: Forecasting: Planning for Future Scenarios.
Epilogue.
Index.

Analytics for Retail.css-1p8rvzy{position:absolute;padding-left:8px;}

Analytics for Retail