Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Analytics for Retail = A Step-by-Step Guide to the Statistics Behind a Successful Retail Business /
Record Type:
Language materials, printed : 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.
Description:
XIV, 150 p. 31 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Big data. -
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 Retail
A Step-by-Step Guide to the Statistics Behind a Successful Retail Business /[electronic resource] :by Rhoda Okunev. - 1st ed. 2022. - XIV, 150 p. 31 illus.online resource.
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:
981821
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Analytics for Retail = A Step-by-Step Guide to the Statistics Behind a Successful Retail Business /
LDR
:03431nam a22003975i 4500
001
1087769
003
DE-He213
005
20220625080904.0
007
cr nn 008mamaa
008
221228s2022 xxu| s |||| 0|eng d
020
$a
9781484278307
$9
978-1-4842-7830-7
024
7
$a
10.1007/978-1-4842-7830-7
$2
doi
035
$a
978-1-4842-7830-7
050
4
$a
QA76.9.B45
072
7
$a
UN
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
072
7
$a
UN
$2
thema
082
0 4
$a
005.7
$2
23
100
1
$a
Okunev, Rhoda.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1394845
245
1 0
$a
Analytics for Retail
$h
[electronic resource] :
$b
A Step-by-Step Guide to the Statistics Behind a Successful Retail Business /
$c
by Rhoda Okunev.
250
$a
1st ed. 2022.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2022.
300
$a
XIV, 150 p. 31 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
Big data.
$3
981821
650
0
$a
Business—Data processing.
$3
1253699
650
0
$a
Retail trade.
$3
561513
650
0
$a
Electronic commerce.
$3
557942
650
0
$a
Information technology—Management.
$3
1365950
650
1 4
$a
Big Data.
$3
1017136
650
2 4
$a
Business Analytics.
$3
1387864
650
2 4
$a
Trade and Retail.
$3
1387567
650
2 4
$a
e-Commerce and e-Business.
$3
1365931
650
2 4
$a
Business Process Management.
$3
1066351
650
2 4
$a
E-Business.
$3
1388332
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484278291
776
0 8
$i
Printed edition:
$z
9781484278314
776
0 8
$i
Printed edition:
$z
9781484283486
856
4 0
$u
https://doi.org/10.1007/978-1-4842-7830-7
912
$a
ZDB-2-BUM
912
$a
ZDB-2-SXBM
950
$a
Business and Management (SpringerNature-41169)
950
$a
Business and Management (R0) (SpringerNature-43719)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login