SlideShare a Scribd company logo
1 of 10
Download to read offline
Initial Report
Last Mo dified: 10 /29 /20 13

1.

My favo urite retail sto re fo r apparel is the o ne with

#

Answe r

Bar

Re spo nse

%
6 7%

1

Best quality clo thes

46

2

Least Price

22

32%

3

Widest co llectio n o f brands

45

6 5%

4

Largest sho pping space

13

19 %

5

Clo thes o f my favo urite brand o nly and no thing else

8

12%

6

Least distance fro m my ho me

11

16 %

St at ist ic

Value

Min Value

1

Max Value

6

To tal Respo nses

69
2.

The 'Sasta-Bazaar’(lo w co st) in the sho pping co mplex near my lo cality
o ffers clo thes at 10 % less than elsewhere all thro ugh the year. I think that the
clo thes at Sasta-Bazaar are o f:

#

Answe r

Bar

Re spo nse

%

1

Lo w quality. I’ll NOT go there

17

25%

2

Slightly lo w o n quality, but wo rth the price. I’ll go there

37

54%

3

Same quality as elsewhere. I’ll go there

15

22%

To tal

69

St at ist ic

Value

Min Value

1

Max Value
Mean

3
1.9 7

Variance

0 .47

Standard Deviatio n

0 .6 9

To tal Respo nses

69
3.

Indicate the level o f impo rtance o f each facto r in making an apparel sto re
ideal destinatio n fo r yo ur sho pping (Select the appro priate bo x fo r each)

#

Que st io n

1 (Le ast Im po rt ant )

1

Best Quality clo thes

1

2

Least prices

1

3

Widest co llectio n

0

4

Within 1km fro m my ho me

5

Parking space that never says ‘Full’

6

2

3

4

5 (Mo st Im po rt ant )

T o t al Re spo nse s

Me an

1

6

23

38

69

4.39

11

19

22

16

69

3.59

5

5

29

30

69

4.22

13

20

22

7

7

69

2.6 4

17

15

17

14

6

69

2.6 7

Open fro m 7am to 12midnight

11

15

20

19

4

69

2.8 6

7

Well-kno wn natio nal brand (Eg. Sho ppers Sto p)

3

8

21

24

13

69

3.52

8

Po lite salesperso ns attending me all the time

4

9

12

26

18

69

3.6 5

9

Pleasant ambience in the sto re

0

3

8

37

21

69

4.10

10

Quick billing and checko ut

0

3

7

30

29

69

4.23

St at ist ic

Be st
Qualit y
clo t he s

Le ast
price s

Wide st
co lle ct io n

Wit hin
1km
f ro m m y
ho m e

Min Value

1

1

2

1

Max Value

5

5

5

5

Mean

4.39

3.59

4.22

2.6 4

Variance

0 .6 8

1.13

0 .76

Standard
Deviatio n

0 .8 3

1.0 6

69

69

To tal
Respo nses

Parking
space t hat
ne ve r says
‘Full’

Ope n f ro m
7 am t o
12m idnight

We ll-kno wn
nat io nal brand
(Eg. Sho ppe rs
St o p)

Po lit e
sale spe rso ns
at t e nding m e all
t he t im e

Ple asant
am bie nce
in t he
st o re

Quick
billing
and
che cko ut

1

1

5

5

1

1

2

2

5

5

5

2.6 7

5

2.8 6

3.52

3.6 5

4.10

4.23

1.44

1.6 7

1.36

1.14

1.38

0 .59

0 .6 5

0 .8 7

1.20

1.29

1.17

1.0 7

1.17

0 .77

0 .8 1

69

69

69

69

69

69

69

69
4.

My expectatio ns abo ut a specialty apparel sto re [Eg. An exclusive Levi’s
Outlet] are as fo llo ws:

1 (Le ast
Expe ct e d)

2

3

4

Mo st
Expe ct e d(5 )

T o t al
Re spo nse s

Me an

Quick billing and checko ut

0

2

6

29

32

69

4.32

2

Salesperso ns o ffering the right clo thes after understanding what I actually
need

0

3

6

29

31

69

4.28

3

Attractive sto re Appearance

1

3

15

30

20

69

3.9 4

4

Individual attentio n

4

7

16

21

21

69

3.70

5

Disco unts and o ffers

2

5

10

22

30

69

4.0 6

6

Open fro m 7am to 12midnight

11

10

21 19

8

69

3.0 4

#

Que st io n

1

St at ist ic

Quick billing
and che cko ut

Sale spe rso ns o f f e ring t he right clo t he s af t e r
unde rst anding what I act ually ne e d

At t ract ive st o re
Appe arance

Individual
at t e nt io n

Disco unt s
and o f f e rs

Ope n f ro m 7 am
t o 12m idnight

Min Value

2

2

1

1

1

1

Max Value

5

5

5

5

5

5

Mean

4.32

4.28

3.9 4

3.70

4.0 6

3.0 4

Variance

0 .57

0 .6 4

0 .8 2

1.39

1.14

1.54

Standard
Deviatio n

0 .76

0 .8 0

0 .9 1

1.18

1.0 7

1.24

69

69

69

69

69

69

To tal
Respo nses
5.

My expectatio ns abo ut a Multi-Brand Sto re [Eg. Sho ppers Sto p] are as
fo llo ws:

1 (Le ast
Expe ct e d)

2

3

4

Mo st
Expe ct e d(5 )

T o t al
Re spo nse s

Me an

Quick billing and checko ut

0

2

13

27

27

69

4.14

2

Salesperso ns o ffering the right clo thes after understanding what I actually
need

1

10

10

31

17

69

3.77

3

Attractive sto re Appearance

0

3

18

33

15

69

3.8 7

4

Individual attentio n

2

16

21 20

10

69

3.29

5

Disco unts and o ffers

0

1

9

28

31

69

4.29

6

Open fro m 7am to 12midnight

9

9

15

24

12

69

3.30

#

Que st io n

1

St at ist ic

Quick billing
and che cko ut

Sale spe rso ns o f f e ring t he right clo t he s af t e r
unde rst anding what I act ually ne e d

At t ract ive st o re
Appe arance

Individual
at t e nt io n

Disco unt s
and o f f e rs

Ope n f ro m 7 am
t o 12m idnight

Min Value

2

1

2

1

2

1

Max Value

5

5

5

5

5

5

Mean

4.14

3.77

3.8 7

3.29

4.29

3.30

Variance

0 .6 8

1.0 6

0 .6 4

1.15

0 .56

1.6 3

Standard
Deviatio n

0 .8 3

1.0 3

0 .8 0

1.0 7

0 .75

1.28

69

69

69

69

69

69

To tal
Respo nses
6.

My expectatio ns abo ut a Disco unt Sto re [Eg. Big Bazaar’s Apparel Sectio n]
are as fo llo ws:

1 (Le ast
Expe ct e d)

2

3

4

Mo st
Expe ct e d(5 )

T o t al
Re spo nse s

Me an

Quick billing and checko ut

1

8

13

19

28

69

3.9 4

2

Salesperso ns o ffering the right clo thes after understanding what I actually
need

5

15

17

21

11

69

3.26

3

Attractive sto re Appearance

3

14

24 23

5

69

3.19

4

Individual attentio n

6

20

23

11

9

69

2.9 6

5

Disco unts and o ffers

1

1

5

18

44

69

4.49

6

Open fro m 7am to 12midnight

8

9

16

18

18

69

3.42

#

Que st io n

1

St at ist ic

Quick billing
and che cko ut

Sale spe rso ns o f f e ring t he right clo t he s af t e r
unde rst anding what I act ually ne e d

At t ract ive st o re
Appe arance

Individual
at t e nt io n

Disco unt s
and o f f e rs

Ope n f ro m 7 am
t o 12m idnight

Min Value

1

1

1

1

1

1

Max Value

5

5

5

5

5

5

Mean

3.9 4

3.26

3.19

2.9 6

4.49

3.42

Variance

1.20

1.40

0 .9 8

1.34

0 .6 7

1.75

Standard
Deviatio n

1.10

1.18

0 .9 9

1.16

0 .8 2

1.32

To tal
Respo nses

69

69

69

69

69

69
7.

Gender

#

Answe r

1
2

Bar

Re spo nse

%

Male

52

75%

Female

17

25%

To tal

69

St at ist ic

Value

Min Value

1

Max Value

2

Mean

1.25

Variance

0 .19

Standard Deviatio n

0 .43

To tal Respo nses

69
8.

Age (In Years)

T e xt Re spo nse
24
26
25
25
23
24
24
25
25
26
28
26
25
29
25
26
23
23
25
24
24
27
26
23
26
22
23
22
23
23
19
23
22
22
26
23
24
22
24
24
23
24
22
22
26
25
25
23
25
27
21
22
24
25
25
21
28
22
23
25
27
22
19
22
23
22
24
24
23
St at ist ic
To tal Respo nses

Value
69
9.

Name (o ptio nal)

T e xt Re spo nse
Amit Yadav
Rajarshi
zeenat
Sanyukta Chakrabo rty
Abhash
Shazia Khan
SHAON SEN
Abhinav Prakash
:P
Sudeep Sahu
navneet
Sumit Lo hra
ANIRBAN PATRA
prudhvi
Vijay
Venkata Trived
Avinash
AC
Darth Vader
Arati
Anudeep
vamsi
Arijit Kar
TANMOY DAS
Abes Naskar
Debasmita
Snigdha
Yunus
Siddhartha
Yeswanth
KAUSHIK
Rajnikanth
St at ist ic
To tal Respo nses

Value
32

More Related Content

Viewers also liked (9)

Urgence Vanuatu - 1 mois d'intervention
Urgence Vanuatu - 1 mois d'interventionUrgence Vanuatu - 1 mois d'intervention
Urgence Vanuatu - 1 mois d'intervention
 
Cuento pirata
Cuento pirataCuento pirata
Cuento pirata
 
HCQS.CC | Replacing iPhone 6 Speaker Guide
HCQS.CC | Replacing iPhone 6 Speaker GuideHCQS.CC | Replacing iPhone 6 Speaker Guide
HCQS.CC | Replacing iPhone 6 Speaker Guide
 
Preguntasdelsistemanervioso3
Preguntasdelsistemanervioso3Preguntasdelsistemanervioso3
Preguntasdelsistemanervioso3
 
Qatar Airways lanza Going Places Together, su nueva campaña de marca a nivel ...
Qatar Airways lanza Going Places Together, su nueva campaña de marca a nivel ...Qatar Airways lanza Going Places Together, su nueva campaña de marca a nivel ...
Qatar Airways lanza Going Places Together, su nueva campaña de marca a nivel ...
 
Yassin trabajo de rusia
Yassin trabajo de rusiaYassin trabajo de rusia
Yassin trabajo de rusia
 
Cours PHP 4
Cours PHP 4Cours PHP 4
Cours PHP 4
 
Comenius Binational Meetings 2013
Comenius Binational Meetings 2013Comenius Binational Meetings 2013
Comenius Binational Meetings 2013
 
ΟΡΟΣ ΚΙΛΙΜΑΝΤΖΑΡΟ
ΟΡΟΣ ΚΙΛΙΜΑΝΤΖΑΡΟΟΡΟΣ ΚΙΛΙΜΑΝΤΖΑΡΟ
ΟΡΟΣ ΚΙΛΙΜΑΝΤΖΑΡΟ
 

Similar to Initial report

Revenue Relationship and Pricing Policies
Revenue Relationship and Pricing PoliciesRevenue Relationship and Pricing Policies
Revenue Relationship and Pricing PoliciesSamita Mahapatra
 
Flipping Houses Blueprint
Flipping Houses BlueprintFlipping Houses Blueprint
Flipping Houses BlueprintThetastuff
 
Internal Communications - 'The Operator" Newsletter
Internal Communications - 'The Operator" NewsletterInternal Communications - 'The Operator" Newsletter
Internal Communications - 'The Operator" NewsletterBlackhawk Marketing
 
Automated Bidding: Deriving Smart Insights - Sergio Cano
Automated Bidding: Deriving Smart Insights - Sergio CanoAutomated Bidding: Deriving Smart Insights - Sergio Cano
Automated Bidding: Deriving Smart Insights - Sergio CanoState of Search Conference
 
Integrating New Products and the Sales Funnel in Demand Planning
Integrating New Products and the Sales Funnel in Demand PlanningIntegrating New Products and the Sales Funnel in Demand Planning
Integrating New Products and the Sales Funnel in Demand Planningfreighthunter
 
NCV 4 Mathematical Literacy Hands-On Support Slide Show - Module 2 Part 1
NCV 4 Mathematical Literacy Hands-On Support Slide Show - Module 2 Part 1NCV 4 Mathematical Literacy Hands-On Support Slide Show - Module 2 Part 1
NCV 4 Mathematical Literacy Hands-On Support Slide Show - Module 2 Part 1Future Managers
 
Building reputation on the syndicated lending market
Building reputation on the syndicated lending marketBuilding reputation on the syndicated lending market
Building reputation on the syndicated lending marketChristophe J. Godlewski
 
Early stage CTO: Role & relations by Quentin Le Brouster, CTO at Back Market
Early stage CTO: Role & relations by Quentin Le Brouster, CTO at Back MarketEarly stage CTO: Role & relations by Quentin Le Brouster, CTO at Back Market
Early stage CTO: Role & relations by Quentin Le Brouster, CTO at Back MarketTheFamily
 
Completed Marketing Strategies
Completed Marketing StrategiesCompleted Marketing Strategies
Completed Marketing StrategiesBrandon Brown, MBA
 
RQ Retail Management: Taking Numbers from Good to Great
RQ Retail Management: Taking Numbers from Good to GreatRQ Retail Management: Taking Numbers from Good to Great
RQ Retail Management: Taking Numbers from Good to GreatiQmetrixCorp
 
eCommerce Benchmark Report - Q2 2016
eCommerce Benchmark Report - Q2 2016eCommerce Benchmark Report - Q2 2016
eCommerce Benchmark Report - Q2 2016Demac Media
 
Noe Realtor - Premium Brand Identity Design
Noe Realtor - Premium Brand Identity DesignNoe Realtor - Premium Brand Identity Design
Noe Realtor - Premium Brand Identity DesignJAVIER™
 
Blpresentationenglish97novoice march23-130606091124-phpapp02
Blpresentationenglish97novoice march23-130606091124-phpapp02Blpresentationenglish97novoice march23-130606091124-phpapp02
Blpresentationenglish97novoice march23-130606091124-phpapp02Evgeny Hazak
 

Similar to Initial report (20)

Loyalty Programs- Retailing
Loyalty Programs- RetailingLoyalty Programs- Retailing
Loyalty Programs- Retailing
 
Business valuation and Financial Plan
Business valuation and Financial PlanBusiness valuation and Financial Plan
Business valuation and Financial Plan
 
Revenue Relationship and Pricing Policies
Revenue Relationship and Pricing PoliciesRevenue Relationship and Pricing Policies
Revenue Relationship and Pricing Policies
 
Flipping Houses Blueprint
Flipping Houses BlueprintFlipping Houses Blueprint
Flipping Houses Blueprint
 
Internal Communications - 'The Operator" Newsletter
Internal Communications - 'The Operator" NewsletterInternal Communications - 'The Operator" Newsletter
Internal Communications - 'The Operator" Newsletter
 
Automated Bidding: Deriving Smart Insights - Sergio Cano
Automated Bidding: Deriving Smart Insights - Sergio CanoAutomated Bidding: Deriving Smart Insights - Sergio Cano
Automated Bidding: Deriving Smart Insights - Sergio Cano
 
Integrating New Products and the Sales Funnel in Demand Planning
Integrating New Products and the Sales Funnel in Demand PlanningIntegrating New Products and the Sales Funnel in Demand Planning
Integrating New Products and the Sales Funnel in Demand Planning
 
New mci ppt
New mci pptNew mci ppt
New mci ppt
 
Bar Code
Bar CodeBar Code
Bar Code
 
NCV 4 Mathematical Literacy Hands-On Support Slide Show - Module 2 Part 1
NCV 4 Mathematical Literacy Hands-On Support Slide Show - Module 2 Part 1NCV 4 Mathematical Literacy Hands-On Support Slide Show - Module 2 Part 1
NCV 4 Mathematical Literacy Hands-On Support Slide Show - Module 2 Part 1
 
Training program
Training program Training program
Training program
 
Building reputation on the syndicated lending market
Building reputation on the syndicated lending marketBuilding reputation on the syndicated lending market
Building reputation on the syndicated lending market
 
Early stage CTO: Role & relations by Quentin Le Brouster, CTO at Back Market
Early stage CTO: Role & relations by Quentin Le Brouster, CTO at Back MarketEarly stage CTO: Role & relations by Quentin Le Brouster, CTO at Back Market
Early stage CTO: Role & relations by Quentin Le Brouster, CTO at Back Market
 
B2B Marketing l&T
B2B Marketing l&TB2B Marketing l&T
B2B Marketing l&T
 
Completed Marketing Strategies
Completed Marketing StrategiesCompleted Marketing Strategies
Completed Marketing Strategies
 
RQ Retail Management: Taking Numbers from Good to Great
RQ Retail Management: Taking Numbers from Good to GreatRQ Retail Management: Taking Numbers from Good to Great
RQ Retail Management: Taking Numbers from Good to Great
 
eCommerce Benchmark Report - Q2 2016
eCommerce Benchmark Report - Q2 2016eCommerce Benchmark Report - Q2 2016
eCommerce Benchmark Report - Q2 2016
 
Noe Realtor - Premium Brand Identity Design
Noe Realtor - Premium Brand Identity DesignNoe Realtor - Premium Brand Identity Design
Noe Realtor - Premium Brand Identity Design
 
Blpresentationenglish97novoice march23-130606091124-phpapp02
Blpresentationenglish97novoice march23-130606091124-phpapp02Blpresentationenglish97novoice march23-130606091124-phpapp02
Blpresentationenglish97novoice march23-130606091124-phpapp02
 
BoSUSA20 Online | Matt Lerner | Metrics that Matter
BoSUSA20 Online | Matt Lerner | Metrics that Matter BoSUSA20 Online | Matt Lerner | Metrics that Matter
BoSUSA20 Online | Matt Lerner | Metrics that Matter
 

Recently uploaded

08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 

Recently uploaded (20)

08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 

Initial report

  • 1. Initial Report Last Mo dified: 10 /29 /20 13 1. My favo urite retail sto re fo r apparel is the o ne with # Answe r Bar Re spo nse % 6 7% 1 Best quality clo thes 46 2 Least Price 22 32% 3 Widest co llectio n o f brands 45 6 5% 4 Largest sho pping space 13 19 % 5 Clo thes o f my favo urite brand o nly and no thing else 8 12% 6 Least distance fro m my ho me 11 16 % St at ist ic Value Min Value 1 Max Value 6 To tal Respo nses 69
  • 2. 2. The 'Sasta-Bazaar’(lo w co st) in the sho pping co mplex near my lo cality o ffers clo thes at 10 % less than elsewhere all thro ugh the year. I think that the clo thes at Sasta-Bazaar are o f: # Answe r Bar Re spo nse % 1 Lo w quality. I’ll NOT go there 17 25% 2 Slightly lo w o n quality, but wo rth the price. I’ll go there 37 54% 3 Same quality as elsewhere. I’ll go there 15 22% To tal 69 St at ist ic Value Min Value 1 Max Value Mean 3 1.9 7 Variance 0 .47 Standard Deviatio n 0 .6 9 To tal Respo nses 69
  • 3. 3. Indicate the level o f impo rtance o f each facto r in making an apparel sto re ideal destinatio n fo r yo ur sho pping (Select the appro priate bo x fo r each) # Que st io n 1 (Le ast Im po rt ant ) 1 Best Quality clo thes 1 2 Least prices 1 3 Widest co llectio n 0 4 Within 1km fro m my ho me 5 Parking space that never says ‘Full’ 6 2 3 4 5 (Mo st Im po rt ant ) T o t al Re spo nse s Me an 1 6 23 38 69 4.39 11 19 22 16 69 3.59 5 5 29 30 69 4.22 13 20 22 7 7 69 2.6 4 17 15 17 14 6 69 2.6 7 Open fro m 7am to 12midnight 11 15 20 19 4 69 2.8 6 7 Well-kno wn natio nal brand (Eg. Sho ppers Sto p) 3 8 21 24 13 69 3.52 8 Po lite salesperso ns attending me all the time 4 9 12 26 18 69 3.6 5 9 Pleasant ambience in the sto re 0 3 8 37 21 69 4.10 10 Quick billing and checko ut 0 3 7 30 29 69 4.23 St at ist ic Be st Qualit y clo t he s Le ast price s Wide st co lle ct io n Wit hin 1km f ro m m y ho m e Min Value 1 1 2 1 Max Value 5 5 5 5 Mean 4.39 3.59 4.22 2.6 4 Variance 0 .6 8 1.13 0 .76 Standard Deviatio n 0 .8 3 1.0 6 69 69 To tal Respo nses Parking space t hat ne ve r says ‘Full’ Ope n f ro m 7 am t o 12m idnight We ll-kno wn nat io nal brand (Eg. Sho ppe rs St o p) Po lit e sale spe rso ns at t e nding m e all t he t im e Ple asant am bie nce in t he st o re Quick billing and che cko ut 1 1 5 5 1 1 2 2 5 5 5 2.6 7 5 2.8 6 3.52 3.6 5 4.10 4.23 1.44 1.6 7 1.36 1.14 1.38 0 .59 0 .6 5 0 .8 7 1.20 1.29 1.17 1.0 7 1.17 0 .77 0 .8 1 69 69 69 69 69 69 69 69
  • 4. 4. My expectatio ns abo ut a specialty apparel sto re [Eg. An exclusive Levi’s Outlet] are as fo llo ws: 1 (Le ast Expe ct e d) 2 3 4 Mo st Expe ct e d(5 ) T o t al Re spo nse s Me an Quick billing and checko ut 0 2 6 29 32 69 4.32 2 Salesperso ns o ffering the right clo thes after understanding what I actually need 0 3 6 29 31 69 4.28 3 Attractive sto re Appearance 1 3 15 30 20 69 3.9 4 4 Individual attentio n 4 7 16 21 21 69 3.70 5 Disco unts and o ffers 2 5 10 22 30 69 4.0 6 6 Open fro m 7am to 12midnight 11 10 21 19 8 69 3.0 4 # Que st io n 1 St at ist ic Quick billing and che cko ut Sale spe rso ns o f f e ring t he right clo t he s af t e r unde rst anding what I act ually ne e d At t ract ive st o re Appe arance Individual at t e nt io n Disco unt s and o f f e rs Ope n f ro m 7 am t o 12m idnight Min Value 2 2 1 1 1 1 Max Value 5 5 5 5 5 5 Mean 4.32 4.28 3.9 4 3.70 4.0 6 3.0 4 Variance 0 .57 0 .6 4 0 .8 2 1.39 1.14 1.54 Standard Deviatio n 0 .76 0 .8 0 0 .9 1 1.18 1.0 7 1.24 69 69 69 69 69 69 To tal Respo nses
  • 5. 5. My expectatio ns abo ut a Multi-Brand Sto re [Eg. Sho ppers Sto p] are as fo llo ws: 1 (Le ast Expe ct e d) 2 3 4 Mo st Expe ct e d(5 ) T o t al Re spo nse s Me an Quick billing and checko ut 0 2 13 27 27 69 4.14 2 Salesperso ns o ffering the right clo thes after understanding what I actually need 1 10 10 31 17 69 3.77 3 Attractive sto re Appearance 0 3 18 33 15 69 3.8 7 4 Individual attentio n 2 16 21 20 10 69 3.29 5 Disco unts and o ffers 0 1 9 28 31 69 4.29 6 Open fro m 7am to 12midnight 9 9 15 24 12 69 3.30 # Que st io n 1 St at ist ic Quick billing and che cko ut Sale spe rso ns o f f e ring t he right clo t he s af t e r unde rst anding what I act ually ne e d At t ract ive st o re Appe arance Individual at t e nt io n Disco unt s and o f f e rs Ope n f ro m 7 am t o 12m idnight Min Value 2 1 2 1 2 1 Max Value 5 5 5 5 5 5 Mean 4.14 3.77 3.8 7 3.29 4.29 3.30 Variance 0 .6 8 1.0 6 0 .6 4 1.15 0 .56 1.6 3 Standard Deviatio n 0 .8 3 1.0 3 0 .8 0 1.0 7 0 .75 1.28 69 69 69 69 69 69 To tal Respo nses
  • 6. 6. My expectatio ns abo ut a Disco unt Sto re [Eg. Big Bazaar’s Apparel Sectio n] are as fo llo ws: 1 (Le ast Expe ct e d) 2 3 4 Mo st Expe ct e d(5 ) T o t al Re spo nse s Me an Quick billing and checko ut 1 8 13 19 28 69 3.9 4 2 Salesperso ns o ffering the right clo thes after understanding what I actually need 5 15 17 21 11 69 3.26 3 Attractive sto re Appearance 3 14 24 23 5 69 3.19 4 Individual attentio n 6 20 23 11 9 69 2.9 6 5 Disco unts and o ffers 1 1 5 18 44 69 4.49 6 Open fro m 7am to 12midnight 8 9 16 18 18 69 3.42 # Que st io n 1 St at ist ic Quick billing and che cko ut Sale spe rso ns o f f e ring t he right clo t he s af t e r unde rst anding what I act ually ne e d At t ract ive st o re Appe arance Individual at t e nt io n Disco unt s and o f f e rs Ope n f ro m 7 am t o 12m idnight Min Value 1 1 1 1 1 1 Max Value 5 5 5 5 5 5 Mean 3.9 4 3.26 3.19 2.9 6 4.49 3.42 Variance 1.20 1.40 0 .9 8 1.34 0 .6 7 1.75 Standard Deviatio n 1.10 1.18 0 .9 9 1.16 0 .8 2 1.32 To tal Respo nses 69 69 69 69 69 69
  • 7. 7. Gender # Answe r 1 2 Bar Re spo nse % Male 52 75% Female 17 25% To tal 69 St at ist ic Value Min Value 1 Max Value 2 Mean 1.25 Variance 0 .19 Standard Deviatio n 0 .43 To tal Respo nses 69
  • 8. 8. Age (In Years) T e xt Re spo nse 24 26 25 25 23 24 24 25 25 26 28 26 25 29 25 26 23 23 25 24 24 27 26 23 26 22 23 22 23 23 19 23 22 22 26 23 24 22 24 24 23 24 22 22 26 25 25 23 25 27 21 22
  • 10. 9. Name (o ptio nal) T e xt Re spo nse Amit Yadav Rajarshi zeenat Sanyukta Chakrabo rty Abhash Shazia Khan SHAON SEN Abhinav Prakash :P Sudeep Sahu navneet Sumit Lo hra ANIRBAN PATRA prudhvi Vijay Venkata Trived Avinash AC Darth Vader Arati Anudeep vamsi Arijit Kar TANMOY DAS Abes Naskar Debasmita Snigdha Yunus Siddhartha Yeswanth KAUSHIK Rajnikanth St at ist ic To tal Respo nses Value 32