quantitative ali
DESCRIPTION
mr report on tata motorsTRANSCRIPT
Graphical Representation of responses1. Occupation of Respondents
2. Previous ownership of Car
3. Ownership of Tata Nano
4. Planning to Buy a Car?
5. Tata Nano Price Perception
6. Gender Distribution
7. Marital Status
8. Economic Distribution
9. Purpose of buying an entry Level Car:By Tata Nano Users:
By Potential Buyers
There are two ways to look at these charts viz. independently and the comparison of actual usage and perceived usage.As can be seen from the chart for Nano users, most frequent usage (daily) is for office commute. This is a bit in contrast with the expected usage for family outings, as Nano was projected to be a family car. The uniform distribution across all usages also indicate that Nano does replace the bike as vehicle of daily commute. Comparison of potential users usage vis--vis actual users usage, which are almost similar indicates that there is not much difference between perceived usage and actual usage.Measuring Perception LevelsPerception about Nano by potential buyersAttributes DescriptionStrongly DisagreeDisagreeNeutralAgreeStrongly Agree
It's an engineering marvelNo. of respondents0211200
Percentage0.00%6.06%33.33%60.61%0.00%
Cumulative0.00%6.06%39.39%100.00%100.00%
It's a down market carNo. of respondents0131370
Percentage0.00%39.39%39.39%21.21%0.00%
Cumulative0.00%39.39%78.79%100.00%100.00%
Tata's car, has to be safeNo. of respondents1415112
Percentage3.03%12.12%45.45%33.33%6.06%
Cumulative3.03%15.15%60.61%93.94%100.00%
Is safeNo. of respondents2912100
Percentage6.06%27.27%36.36%30.30%0.00%
Cumulative6.06%33.33%69.70%100.00%100.00%
Is value for moneyNo. of respondents035223
Percentage0.00%9.09%15.15%66.67%9.09%
Cumulative0.00%9.09%24.24%90.91%100.00%
Looks are goodNo. of respondents251484
Percentage6.06%15.15%42.42%24.24%12.12%
Cumulative6.06%21.21%63.64%87.88%100.00%
It has a comfortable driving experienceNo. of respondents0711132
Percentage0.00%21.21%33.33%39.39%6.06%
Cumulative0.00%21.21%54.55%93.94%100.00%
Has a good mileageNo. of respondents0313152
Percentage0.00%9.09%39.39%45.45%6.06%
Cumulative0.00%9.09%48.48%93.94%100.00%
Is easy to manoeuvre in crowded streetsNo. of respondents0181212
Percentage0.00%3.03%24.24%36.36%36.36%
Cumulative0.00%3.03%27.27%63.64%100.00%
Occupies less parking spaceNo. of respondents1041315
Percentage3.03%0.00%12.12%39.39%45.45%
Cumulative3.03%3.03%15.15%54.55%100.00%
Has good boot spaceNo. of respondents391470
Percentage9.09%27.27%42.42%21.21%0.00%
Cumulative9.09%36.36%78.79%100.00%100.00%
Has low service and maintenance costNo. of respondents0319101
Percentage0.00%9.09%57.58%30.30%3.03%
Cumulative0.00%9.09%66.67%96.97%100.00%
The table gives the data on responses by users who are planning to buy an entry level car in next six months. Following are the results of preliminary analysis, Easy maneuverability and less parking space are the only attributes on which people strongly identify Nano with. Affordability and mileage are two parameters on which Nano has good acceptance Looks, boot space and safety is an issue for a major chunk of customers Perception about AltoAttributesDescriptionStrongly DisagreeDisagreeNeutral AgreeStrongly Agree
It's an engineering marvelNo. of respondents41141211
Percentage5.13%14.10%52.56%26.92%1.28%
Cumulative5.13%19.23%71.79%98.72%100.00%
It's a down market carNo. of respondents43325151
Percentage5.13%42.31%32.05%19.23%1.28%
Cumulative5.13%47.44%79.49%98.72%100.00%
Is safeNo. of respondents1419486
Percentage1.28%5.13%24.36%61.54%7.69%
Cumulative1.28%6.41%30.77%92.31%100.00%
Is value for moneyNo. of respondents1312539
Percentage1.28%3.85%15.38%67.95%11.54%
Cumulative1.28%5.13%20.51%88.46%100.00%
Looks are goodNo. of respondents3627384
Percentage3.85%7.69%34.62%48.72%5.13%
Cumulative3.85%11.54%46.15%94.87%100.00%
It has a comfortable driving experienceNo. of respondents1524408
Percentage1.28%6.41%30.77%51.28%10.26%
Cumulative1.28%7.69%38.46%89.74%100.00%
Has a good mileageNo. of respondents01194612
Percentage0.00%1.28%24.36%58.97%15.38%
Cumulative0.00%1.28%25.64%84.62%100.00%
Is easy to manoeuvre in crowded streetsNo. of respondents225438
Percentage0.00%2.56%32.05%55.13%10.26%
Cumulative0.00%2.56%34.62%89.74%100.00%
Occupies less parking spaceNo. of respondents7223613
Percentage0.00%8.97%28.21%46.15%16.67%
Cumulative0.00%8.97%37.18%83.33%100.00%
Has good boot spaceNo. of respondents01029336
Percentage0.00%12.82%37.18%42.31%7.69%
Cumulative0.00%12.82%50.00%92.31%100.00%
Has low service and maintenance costNo. of respondents438315
Percentage0.00%5.13%48.72%39.74%6.41%
Cumulative0.00%5.13%53.85%93.59%100.00%
The above table lists the response of Non-Nano users with regards to Maruti Alto, which is a major competitor to Tata Nano, following is the preliminary analysis, There is wide acceptability for alto when it comes to Value for money, affordability and mileage The response in also pretty much decent in all the rest of the parameters as well, indicating people believe Alto has all the parameters at least when it comes consumer perception.Perception of Nano among Non Nano UsersAttributes DescriptionStrongly DisagreeDisagreeNeutral AgreeStrongly Agree
It's an engineering marvelNo. of respondents51431271
Percentage6.41%17.95%39.74%34.62%1.28%
Cumulative6.41%24.36%64.10%98.72%100.00%
It's a down market carNo. of respondents12128262
Percentage1.28%26.92%35.90%33.33%2.56%
Cumulative1.28%28.21%64.10%97.44%100.00%
Tata's car, has to be safeNo. of respondents41430255
Percentage5.13%17.95%38.46%32.05%6.41%
Cumulative5.13%23.08%61.54%93.59%100.00%
Is safeNo. of respondents62525211
Percentage7.69%32.05%32.05%26.92%1.28%
Cumulative7.69%39.74%71.79%98.72%100.00%
Is value for moneyNo. of respondents27144510
Percentage2.56%8.97%17.95%57.69%12.82%
Cumulative2.56%11.54%29.49%87.18%100.00%
Looks are goodNo. of respondents81729195
Percentage10.26%21.79%37.18%24.36%6.41%
Cumulative10.26%32.05%69.23%93.59%100.00%
It has a comfortable driving experienceNo. of respondents31638183
Percentage3.85%20.51%48.72%23.08%3.85%
Cumulative3.85%24.36%73.08%96.15%100.00%
Has a good mileageNo. of respondents1627377
Percentage1.28%7.69%34.62%47.44%8.97%
Cumulative1.28%8.97%43.59%91.03%100.00%
Is easy to manoeuvre in crowded streetsNo. of respondents13243119
Percentage1.28%3.85%30.77%39.74%24.36%
Cumulative1.28%5.13%35.90%75.64%100.00%
Occupies less parking spaceNo. of respondents2094027
Percentage2.56%0.00%11.54%51.28%34.62%
Cumulative2.56%2.56%14.10%65.38%100.00%
Has good boot spaceNo. of respondents72232152
Percentage8.97%28.21%41.03%19.23%2.56%
Cumulative8.97%37.18%78.21%97.44%100.00%
Has low service and maintenance costNo. of respondents1842234
Percentage1.28%10.26%53.85%29.49%5.13%
Cumulative1.28%11.54%65.38%94.87%100.00%
The perception of Non-Nano users (general perception) is almost similar to the one by potential buyers, with similar issues like safety, looks and brand being key lacking points for Nano.
Data Collection:From Potential buyersPotential buyers were asked to rank the following 12 attributes. 1. Good Looks2. Comfortable Driving Experience
3. Safety4. Good Mileage
5. Affordability6. Brand Image
7. Low Service and maintenance cost8. Large Boot Space
9. Car as a status symbol10. Less Parking Space
11. Easy manoeuvrability in crowded streets12. Good Resale Value
From current Nano UsersWe also asked the Nano users to rate their experience of Nano on following 12 attributes. 1. Good Looks2. Comfortable Driving Experience
3. Safety4. Good Mileage
5. Affordability6. Brand Image
7. Low Service and maintenance cost8. Large Boot Space
9. Car as a status symbol10. Good Resale Value
11. Easy manoeuvrability in crowded streets12. Less Parking Space
From Non-Nano usersNon nano users were asked to rate their perception of Nano on following 12 attributes1. Engineering Marvel2. Downmarket Car
3. Tatas car, has to be good4. Safety
5. Value for Money 6. Good Looks
7. Comfortable Driving Experience8. Mileage
9. Easy manoeuvrability in crowded streets10. Less Parking Space
11. Good Boot Space12. Low service and Maintenance Cost
From Non-Nano users on AltoWe had asked the Non nano users to rate their perception of Alto on following 12 attributes1. Engineering Marvel2. Downmarket Car
3. Safety
4. Value for Money 5. Good Looks
6. Comfortable Driving Experience7. Mileage
8. Easy manoeuvrability in crowded streets9. Less Parking Space
10. Good Boot Space12. Low service and Maintenance Cost
Attributes/Benefits considered before purchasing a car:Checking Importance of Attributes/Benefits on the basis of RanksMedian rank of each of the attributes was calculated based on the ranking given by all the respondents. All attributes below rank 6 were discarded as we considered these attributes play an insignificant role in consumer purchase decision. Median Table AttributeMedian
Good Looks3
Comfortable Driving Experience3
Safety3
Good Mileage3
Affordability6
Brand Image8
Low Service and maintenance Cost6
Large Boot Space8
Car as a Status Symbol10
Less Parking Space10
Easy manoeuvrability in crowded streets6
Good resale value10
Rank
Attr.123456789101112
1No.of respondents873532120200
Percentage (%)24%21%9%15%9%6%3%6%0%6%0%0%
Cumulative (%)24%45%55%70%79%85%88%94%94%100%100%100%
2No.of respondents873532120200
Percentage (%)24%21%9%15%9%6%3%6%0%6%0%0%
Cumulative (%)24%45%55%70%79%85%88%94%94%100%100%100%
3No.of respondents648243501000
Percentage (%)18%12%24%6%12%9%15%0%3%0%0%0%
Cumulative (%)18%30%55%61%73%82%97%97%100%100%100%100%
4No.of respondents2810442300000
Percentage (%)6%24% 30%12%12%6%9%0%0%0%0%0%
Cumulative (%)6%30%61%73%85%91%100%100%100%100%100%100%
5No.of respondents540339601011
Percentage (%)15%12%0%9%9%27%18%0%3%0%3%3%
Cumulative (%)15%27%27%36%45%73%91%91%94%94%97%100%
6No.of respondents101044654251
Percentage (%)3%0%3%0%12%12%18%15%12%6%15%3%
Cumulative (%)3%3%6%6%18%30%48%64%76%82%97%100%
7No.of respondents122364453111
Percentage (%)3%6%6%9%18%12%12%15%9%3%3%3%
Cumulative (%)3%9% 15%24%42%55%67%82%91%94%97%100%
8No.of respondents0002221118511
Percentage (%)0%0%0%6%6%6%3%33%24%15%3%3%
Cumulative (%)0%0%0%6%12%18%21%55%79%94%97%100%
9No.of respondents100102005897
Percentage (%)3%0%0%3%0%6%0%0%15%24%27%21%
Cumulative (%)3%3%3%6%6%12%12%12%27%52%79%100%
10 No.of respondents011121127755
Percentage (%)0%3%3%3%6%3%3%6%21%21%15%15%
Cumulative (%)0%3%6%9%15%18%21%27%48%70%85%100%
11No.of respondents102422251356
Percentage (%)3%0%6%12%6%6%6%15%3%9%15%18%
Cumulative (%)3%3%9%21%27%33%39%55%58%67%82%100%
12No.of respondents0012012335511
Percentage (%)0%0%3%6%0%3%6%9%9%15%15%33%
Cumulative (%)0%0%3%9%9%12%18%27%36%52%67%100%
On the basis of the analysis we have inferred that attributes with median ranking 6 or less are important. Other attributes are not considered. Significant Attributes Good LooksAffordability
Comfortable Driving ExperienceLow Service and maintenance Cost
SafetyEasy manoeuvrability in crowded streets
Good Mileage
Reaction of the 33 respondents (potential buyers) in terms of simple and cumulative frequency distribution of responses on each of the 12 attributes/benefits. Tata Nano user overall experience We asked the existing Tata Nano users their experience of using nano based on following attributes / benefits. 1. Good Looks2. Comfortable Driving Experience
3. Safety4. Good Mileage
5. Affordability6. Brand Image
7. Low Service and maintenance cost8. Good Boot Space
9. Car as a status symbol10. Good Resale Value
11. Easy manoeuvrability in crowded streets12. Less Parking Space
Correlation MatrixExperience of the 30 respondents (Nano Users) in terms of simple and cumulative frequency Distribution of responses on each of the 12 attributes/benefits.
Rank
AttributeStrongly DisagreeDisagreeNeutralAgreeStrongly Agree
1No.of respondents0513102
Percentage (%)0%17%43%33%7%
Cumulative (%)0%17%60%93%100%
2No.of respondents027192
Percentage (%)0%7%23%63%7%
Cumulative (%)0%7%30%93%100%
3No.of respondents1510122
Percentage (%)3%17%33%40%7%
Cumulative (%)3%20%53%93%100%
4No.of respondents009165
Percentage (%)0%0%30%53%17%
Cumulative (%)0%0%30%83%100%
5No.of respondents0021513
Percentage (%)0%0%7%50%43%
Cumulative (%)0%0%7%57%100%
6No.of respondents246108
Percentage (%)7%13%20%33%27%
Cumulative (%)7%20%40%73%100%
7No.of respondents027156
Percentage (%)0%7%23%50%20%
Cumulative (%)0%7%30%80%100%
8No.of respondents256143
Percentage (%)7%17%20%47%10%
Cumulative (%)7%23%43%90%100%
9No.of respondents771051
Percentage (%)23%23%33%17%3%
Cumulative (%)23%47%80%97%100%
10 No.of respondents3111042
Percentage (%)10%37%33%13%7%
Cumulative (%)10%47%80%93%100%
11No.of respondents0041511
Percentage (%)0%0%13%50%37%
Cumulative (%)0%0%13%63%100%
12No.of respondents0031116
Percentage (%)0%0%10%37%53%
Cumulative (%)0%0%10%47%100%
Attribute No
Attribute No123456789101112
110.5110.316-0.048-0.0870.3580.1240.2140.2970.2230.2970.127
20.51110.6030.3460.2640.2570.5590.1030.4230.3860.4410.354
30.3160.60310.2230.1590.3440.4130.1550.3890.2980.2610.272
4-0.0480.3460.22310.6140.0170.506-0.301-0.172-0.010.2930.502
5-0.0870.2640.1590.61410.1560.392-0.104-0.339-0.0370.4490.597
60.3580.2570.3440.0170.15610.1020.2680.3830.3320.1580.133
70.1240.5590.4130.5060.3920.10210.370.1330.4510.3760.376
80.2140.1030.155-0.301-0.1040.2680.3710.4180.4550.205-0.035
90.2970.4230.389-0.172-0.3390.3830.1330.41810.5980.012-0.265
100.2230.3860.298-0.01-0.0370.3320.4510.4550.59810.149-0.197
110.2970.4410.2610.2930.4490.1580.3760.2050.0120.14910.746
120.1270.3540.2720.5020.5970.1330.376-0.035-0.265-0.1970.7461
Correlation Matrix
From the correlation matrix we can see that none of the two attributes have correlation greater than 0.7 which signifies that the correlation is weak. To confirm this fact we did the VIF (Variance Inflation Factor) analysis and found that VIF factor for all the variables (attributes) was less than 5 which is the widely held limit, beyond which if VIF exceeds is an indication of correlation. As there doesnt exist correlation between any two attributes the plan of applying a factor analysis was dropped. Predictor VIF
Constant
Has good looks1.92
Has comfortable driving experience3.89
Provides safety1.808
Has good mileage2.968
Is affordable2.734
Has a good brand image1.742
Has low service and maintenance3.99
Has good boot space2.753
Acts as a status symbol3.418
Has a good resale value2.777
Is easy to manoeuvre in crowded3.488
Occupies less parking space4.773
VIF Table
Checking importance of attributes Ratings Wise Nano Users:Regression Analysis:As there doesnt exist correlation among any of the attributes, we have run the regression with response of 12 attributes and intent to recommend Nano to others as a dependent variable. PredictorP
Constant0.647
Has good looks (V1)0.956
Has comfortable driving experience (V2)0.384
Provides safety (V3)0.868
Has good mileage (V4)0.542
Is affordable (V5)0.709
Has a good brand image (V6)0.416
Has low service and maintenance (V7)0.265
Has good boot space (V8)0.84
Acts as a status symbol (V9)0.98
Has a good resale value (V10)0.31
Is easy to manoeuvre in crowded (V11)0.857
Occupies less parking space (V12)0.609
From results we can see that the p value corresponding to all the 12 attributes is greater than 0.05, we have taken 95% confidence interval. So we could not infer anything from the linear regression. To analyse further the relationship between the 12 attributes and intent of recommending Nano to others, we decided to carry out factor analysis. We intended to further club the attributes and then again run the regression with dependent variable. Potential BuyersRegression Analysis:We ran the regression with 12 independent variables which were their responses on various 12 attributes and 1 dependent variable which was their intention to buy Nano. Result of the regression is as follow:PredictorCoefSE CoefTPVIF
Constant0.7611.0240.740.466
Engineering marvel (V1)-0.28750.224-1.280.2142.935
Downmarket Car (V2)-0.17020.1577-1.080.2932.259
Tata brand Image (V3)-0.0190.1501-0.130.9012.655
Safety (V4)0.12230.12880.950.3542.128
Value for Money (V5)0.11970.17020.70.492.512
Good Looks (V6)-0.00090.1835-0.010.9965.744
Comfortable Drive (V7)0.20890.21320.980.3395.45
Good Mileage (V8)0.21410.24210.880.3875.133
Easy manoeuvre (V9)-0.55450.3124-1.770.09111.193
Less parking space (V10)0.13430.27910.480.6369.751
Good boot space (V11)0.1820.11711.550.1361.716
Low maintenance cost (V12)0.03220.16190.20.8441.83
We eliminated the attribute with highest VIF value (> 5) and reran the regression, until all the VIF values are less than 5. The final output is as follow:The regression equation is
Buying Intention = 0.591 - 0.248 V1 - 0.073 V2
+ 0.066 V3 + 0.057 V4 + 0.136 V5
+ 0.079 V6 - 0.167 V7
+ 0.192 V8 - 0.035 V9
PredictorCoefSE CoefTPVIF
Constant0.59120.94180.630.536
Engineering marvel (V1)-0.24810.1683-1.470.1541.599
Downmarket Car (V2)-0.07320.1444-0.510.6171.828
Tata brand Image (V3)0.06640.12610.530.6041.81
Safety (V4)0.05710.10410.550.5891.343
Value for Money (V5)0.13560.15970.850.4042.136
Good Looks (V6)0.07870.12280.640.5281.745
Comfortable Drive (V7)-0.16710.1139-1.470.1561.568
Good Mileage (V8)0.19210.10961.750.0931.453
Easy to manoeuvre (V9)-0.03530.1446-0.240.8091.411
Less parking space (V10)0.59120.94180.630.536
Good boot space (V11)-0.24810.1683-1.470.1541.599
Low maintenance cost (V12)-0.07320.1444-0.510.6171.828
From the P values for each attribute we can see that none of them are lower than 0.05 as we are taking 95% confidence interval. So we could not infer anything from the linear regression. To analyse further the relationship between the 12 attributes and intent of recommending Nano to others, we decided to carry out factor analysis to further club the attributes and then again run the regression. 21 | Page