2. Presentation Flow
1.Background
2.Parameters & Techniques
3.FGD Analysis
4.Questionnaire Data Analysis
1.Cluster Analysis
2.Factor Analysis
5.Interpretation
6.What does the data says
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3. Background
Android has seen an increase in global smartphone market share whereas Microsoft Mobile (erstwhile Nokia) and Apple’s iOS saw a decline.
Now we, Microsoft Mobile, want to gauge what exactly is Android platform doing correctly which is being widely accepted vis-à-vis other brands.
So in this market research assignment we attempt to understand where Microsoft Mobile is lagging in comparison with Android phones.
So these would become the areas of improvement for Microsoft Mobile while launching subsequent mobiles.
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4. Parameters & Techniques
Parameters
Age
Usage (How dependant are you on your phone?)
First time buyer, repeat buyer
Income
Willingness to spend on new mobiles
Gender
Techniques
Qualitative
Focus Group Discussion
Quantitative
Questionnaire
Combined questionnaire on Hardware & Software features.
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5. Focus Group Discussion Analysis
Age group of respondents 19-21 years
They prefer Non Microsoft mobile having Android OS because:
Reference from friends
More number of applications
Less costly phones
Respondents feel that the above things are not provided by Microsoft/Nokia
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6. Questionnaire Data and Analysis
Total respondents = 100
Analysis used
Cluster Analysis
Factor Analysis
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13. FACTOR ANALYSIS
All the Variables have correlation with the factors as listed below-
Hardware:
CAMERA
INTERNAL MEMORY
EXTERNAL MEMORY
BATTERY
RAM
Software:
VPA (Voice Personal Assistance)
HOME SCREEN
OFFICE SUITE
MUSIC STORE
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14. One-Way Anova Test
VARIABLES
SIG.
INCOME
INTERNAL MEMORY
0.036
INCOME
BATTERY
0.010
INCOME
CAMERA
0.008
OPERATING SYSTEM
MUSIC STORE
0.044
OPERATING SYSTEM
OFFICE SUITE
0.123
OPERATING SYSTEM
RAM
0.011
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15. Analysis (One-Way Anova)
Across all the income groups Mobile Phone Hardware factor have the same High impact on the buying behavior.
Software factors might vary across different income groups in terms of their significance.
For different types of operating system we have a mixed significance level across Hardware and Software’s.
Consumers using Windows or Android platform might differ in terms of hardware and software requirement
Common variables which are highly significant with different Operating system consumers are
Music Store
Office Suite
RAM
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16. What does the data says?
Current Microsoft Windows mobile users are happy with the features provided by Microsoft
Other OS users have high liking towards Dynamic Home Screen and Office Suite provided by Microsoft
Microsoft needs to improve on Apps base
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