Case on At and t- spss analysis

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    AT & T Wireless

    A peep into Data Analysis

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    A Game of Consolidations

    Sprint PCS improved its growth by focusing on the improved wirelessservices and leasing its network to other carriers.

    In 2004, Cingular acquired AT & T wireless. In 2006, AT & T acquiredBellsouth to become the largest telecom giant.

    Verizon Wireless was formed by the union of Bell Atlantic Mobile, Air

    Touch Cellular, Prime Co and GTE Wireless. Vodafone has 45% stake in

    Verizon.

    On Aug, 12, 2005 Sprint & Nextel completed their merger to become the3rd largest telecom giant.

    VirginMobile SprintPCS Quest

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    Percentage of Subscribers:

    Key USPs:

    Price and Quality

    2 year contract renewals

    Unlimited Plans and handset subsidies Upgrades to enhanced data networks with 3rdgeneration handsets.

    New data services: Photos, videos and other multimedia applications

    transferred through wifi.

    AT & T, 30

    Verizon, 28

    SprintNextel, 23

    T Mobile,12

    AllTell Inc,5

    US Cellular,2

    The Battle Ground

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    Looking towards Research

    Target:

    Increase new subscribers

    Maintain high Avg Revenue Per User.

    Key Findings:

    Only 50% of respondents were highly satisfied.

    37% of subscribers switched their carrier.

    10% filed a billing problem.

    Only 40% reported that response to complaints was helpful.

    Research Problem:

    To find the reasons why customers are leaving AT & T.

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    Data AnalysisRecoding:

    Lets Recode year of birth into Age Quartiles:

    Year of Birth Code

    1970 and later 1

    1960 to 1969 2

    1950 to 1959 3

    1940 and earlier 4

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    Descriptive Statistics: Crosstabs Is there any significant association between people using AT & T Wireless

    Services and their Age?

    Do you currently have wireless service from a carrier other than Cingular *

    Age_Quartiles Crosstabulation

    Count

    Age_Quartiles Total

    1 2 3 4

    Do you currently have

    wireless service from a

    carrier other than

    Cingular

    Yes 69 72 53 51 245

    No 32 39 37 49 157

    Total 101 111 90 100 402

    Chi-Square Tests

    Value dfAsymp. Sig.

    (2-sided)

    Pearson Chi-Square 7.338a 3 .062

    Likelihood Ratio 7.315 3 .063

    Linear-by-Linear

    Association

    7.110 1 .008

    N of Valid Cases 402

    a. 0 cells (.0%) have expected count less than 5. The minimum

    expected count is 35.15.

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    Descriptive Statistics: Crosstabs Is there any significant association between people using AT & T Wireless

    Services and their views about the AT & Ts Services as in Q7?

    Chi-Square Tests

    Value df

    Asymp. Sig.

    (2-sided)

    Pearson Chi-Square 24.318a

    10 .007Likelihood Ratio 24.824 10 .006

    Linear-by-Linear

    Association

    7.884 1 .005

    N of Valid Cases 402

    a. 1 cells (4.5%) have expected count less than 5. The minimum

    expected count is 4.30.

    Crosstab

    Count

    Do you currently

    have wireless

    service from a

    carrier other

    than Cingular

    Total

    Yes No

    Consumer

    is able to

    make or

    receive

    calls

    wherehe/she

    lives and

    travels

    Level 0 - Does not

    describe Cingular

    19 13 32

    Level 1 5 6 11

    Level 2 19 7 26

    Level 3 17 4 21

    Level 4 16 7 23Level 5 - Midway in

    describing Cingular

    39 15 54

    Level 6 23 10 33

    Level 7 24 8 32

    Level 8 29 28 57

    Level 9 13 13 26

    Level 10 - Describes

    Cingular well

    41 46 87

    Total 245 157 402

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    Inferential Statistics

    Do the respondents evaluate AT & T more favorably on high Customer

    Satisfaction as compared to that of Low Prices?

    Paired Samples Statistics

    Mean N

    Std.

    Deviation

    Std. Error

    Mean

    Pair 1 Cingular provides

    high-quality

    customer service

    7.53 402 2.741 .137

    Cingular has lower

    prices

    5.48 402 2.640 .132

    Paired Samples Test

    Paired Differences

    t df

    Sig. (2-

    tailed)Mean

    Std.

    Deviation

    Std. Error

    Mean

    95% Confidence Interval

    of the Difference

    Lower Upper

    Pair 1 Cingular

    provides

    high-quality

    customer

    service -

    Cingular haslower prices

    2.052 3.073 .153 1.751 2.354 13.391 401 .000

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    Inferential Statistics

    Derive a Model of the factors determining that AT & T has plans that meet

    your needs?

    Sr.

    No

    Factor Correlation Coeff Sig

    1 Consumer is able to make or receive calls .611** .000

    2 Consumer gets few dropped calls .341** .000

    3 Voice Quality of the calls is very good .411** .000

    4 Cingular has favorable contract requirements .235** .000

    5 Cingular has calling plans that meet consumers'needs

    .341** .000

    6 Cingular has selection of phones that meet

    consumers' needs

    .288** .000

    7 Cingular has error-free billing statement .243** .000

    8 Cingular provides high-quality customer service .269** .000

    9 Cingular has conveniently-located stores .244** .000

    10 Cingular has lower prices .254** .000

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    Regression Model

    Model Summary

    Model R R Square Adjusted R Square Std. Error of the Estimate

    1 .662a .438 .424 2.429

    Model Unstandardized Coefficients Standardized

    Coefficients

    B Std. Error Beta1 (Constant) -.105 .566

    Consumer is able to make or receive calls where he/she lives

    and travels

    .538 .048 .534

    Consumer gets few dropped calls .044 .046 .043

    Voice Quality of the calls is very good -.009 .061 -.007

    Cingular has favorable contract requirements -.092 .059 -.078

    Cingular has calling plans that meet consumers' needs .248 .053 .218

    Cingular has selection of phones that meet consumers' needs .089 .050 .076

    Cingular has error-free billing statement .000 .059 .000

    Cingular provides high-quality customer service .064 .058 .054

    Cingular has conveniently-located stores .051 .062 .036

    Cingular has lower prices .025 .058 .020

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    Find 2 important factors from the Attributes

    KMO and Bartlett's Test

    Kaiser-Meyer-Olkin Measure of SamplingAdequacy.

    .827

    Bartlett's Test of

    Sphericity

    Approx. Chi-Square 1321.828

    df 55

    Sig. .000

    Total Variance Explained

    Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

    Total % of

    Variance

    Cumulative

    %

    Total % of

    Variance

    Cumulative

    %

    Total % of

    Variance

    Cumulative

    %

    1 4.083 37.115 37.115 4.083 37.115 37.115 3.031 27.557 27.557

    2 1.508 13.705 50.819 1.508 13.705 50.819 2.559 23.263 50.819

    3 .992 9.018 59.837

    4 .834 7.585 67.422

    5 .734 6.675 74.096

    6 .684 6.217 80.313

    7 .511 4.648 84.961

    8 .494 4.494 89.455

    9 .467 4.245 93.700

    10 .390 3.548 97.248

    11 .303 2.752 100.000

    Extraction Method: Principal Component Analysis.

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    Factor Analysis

    Eigen value: The standardized variance associate with a particular factor.

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    Factor Analysis

    Factor 1: Cost and Customer needs centric factors

    Factor 2:Network Related factors

    Rotated Component Matrixa

    Component

    1 2

    Cingular's coverage are meets your needs .223 .693

    Consumer is able to make or receive calls where he/she lives andtravels

    .086 .850

    Consumer gets few dropped calls .167 .682

    Voice Quality of the calls is very good .221 .768

    Cingular has favorable contract requirements .775 .085

    Cingular has calling plans that meet consumers' needs .719 .048

    Cingular has selection of phones that meet consumers' needs .479 .270Cingular has error-free billing statement .619 .282

    Cingular provides high-quality customer service .668 .254

    Cingular has conveniently-located stores .432 .257

    Cingular has lower prices .730 .094

    Extraction Method: Principal Component Analysis.

    Rotation Method: Varimax with Kaiser Normalization.

    a. Rotation converged in 3 iterations.

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    Factor Analysis

    Component Transformation Matrix

    Component 1 2

    1 .769 -.6392 -.639 .769Extraction Method: Principal Component Analysis.

    Rotation Method: Varimax with Kaiser Normalization.