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Analytics for retail = a step-by-ste...

Okunev, Rhoda.

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Analytics for retail = a step-by-step guide to the statistics behind a successful retail business /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analytics for retail/ by Rhoda Okunev.
Reminder of title:	a step-by-step guide to the statistics behind a successful retail business /
Author:	Okunev, Rhoda.
Published:	Berkeley, CA :Apress : : 2022.,
Description:	xiv, 150 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Retail trade - Data processing. -
Online resource:	https://doi.org/10.1007/978-1-4842-7830-7
ISBN:	9781484278307

Analytics for retail = a step-by-step guide to the statistics behind a successful retail business /
Okunev, Rhoda.

Analytics for retaila step-by-step guide to the statistics behind a successful retail business /[electronic resource] :by Rhoda Okunev. - Berkeley, CA :Apress :2022. - xiv, 150 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484278307

Standard No.: 10.1007/978-1-4842-7830-7doiSubjects--Topical Terms:

880324
Retail trade
--Data processing.

LC Class. No.: HF5429.15 / .O58 2022

Dewey Class. No.: 658.5

Analytics for retail = a step-by-step guide to the statistics behind a successful retail business /
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505 0 $a 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.
520 $a 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.
650 0 $a Retail trade $x Data processing. $3 880324
650 1 4 $a Big Data. $3 3134868
650 2 4 $a Business Analytics. $3 3592362
650 2 4 $a Trade and Retail. $3 3594413
650 2 4 $a e-Commerce and e-Business. $3 3591724
650 2 4 $a Business Process Management. $3 2134548
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