Report Structure for BU1007

BU1007
ASSESSMENT TASK [ ] COLLEGE OF BUSINESS, LAW & GOVERNANCE
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BU1007
Table of Content
s
1.0 Introduction..............................................................................................................................................
2.0 Data Analysis...........................................................................................................................................
2.1 Variable Description............................................................................................................................
2.2 Summary of Descriptive Statistics.......................................................................................................
2.3 Correlation Analysis............................................................................................................................
2.4 Comparative Study...............................................................................................................................
3.0 Conclusion...............................................................................................................................................

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1.0 Introduction
One of the leading forces of fashion for men and women in Australia is Ice-Vanilla (IV) fashion
line. The latest, the trendiest and the most inspiring designs of the world from different fashion centres
are brought forward by this store. IV is organizing a loyalty programme in which the customers of the
company are asked to join. The customers who have joined the programme will be provided with
Priority Club Cards (PCC) which is a form of credit card and by using the card, loyalty points will be
awarded to the customers. The members of the priority were sent some promotional codes and were
asked to use them on the 23rd of December, 2016. A sample of 200 customers who shopped using credit
card on that day were collected. Among the sample, some used the promotional codes and some others
were not eligible for using the codes. The CEO of the company is interested to know its customers and
assess the effect of the newly launched programme of using the discount promotional codes.
The sample size selected for this analysis is only 200, which is not enough to conclude about
the whole Australian population. Thus, with a larger sample size, the results of the analysis could have
been much more appropriate and reliable.
In this report, a descriptive analysis of the data will be conducted to summarize and comment
on the data and satisfy the purpose of the research.
2.0 Data Analysis
2.1 Variable Description
The variables that are involved in this research are
1. Number of customers
2. Type of customers (Categorical Variable)
3. Number of items bought (Discrete Variable)
4. Net Sales (Continuous Variable)
5. Type of credit card used to pay (Categorical Variable)
6. Gender (Categorical Variable)
7. Marital Status (Categorical Variable)
8. Age (Discrete Variable)
9. State (Categorical Variable)
2.2 Summary of Descriptive Statistics
At the same time-point, when data is collected on different subjects, it is known as cross
sectional data and when data on a same subject is collected over a varied time frame, it is known as

BU1007
time series data. In this case, the data is collected at the same time and on different subjects. Thus, the
data collected is cross sectional data.
Table 1 below gives the summary of the Net Sales. It can be seen from the table that the mean
sales is $142.96 with a standard deviation of 73.36. Thus, the coefficient of variation is
Coefficient of variation (C.V.) = Standard Deviation
Mean ∗100 = 51.31 %
It can be seen that the coefficient of variation is less than 100. Thus, the standard deviation can
be said to be quite less and the values of net sales is close to the mean sales. It can also be seen that the
distribution of the values of the net sales is positively skewed. Thus, there are more values of net sales
below the mean value that there are values above the mean sales.
Table 1: Descriptive summary of Net Sales (A$)
Mean 142.96
Standard Error 5.19
Median 119.95
Mode 71.52
Standard Deviation 73.36
Sample Variance 5381.03
Kurtosis 2.55
Skewness 1.57
Range 378.10
Minimum 49.48
Maximum 427.58
Sum 28591.33
Count 200
Table 2 shows the frequency of male and female members included in the sample. It can be
seen that out of 200 samples, the number of male members dominate the number of female members
with the number of male members being 113 and that of female members being 87. Thus, male
members are more likely to purchase from Ice Vanilla fashion line than the female members.

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Table 2: Frequency table of Gender
Gender Frequency Relative Frequency
Female 87 0.435
Male 113 0.565
Grand Total 200 1
Table 3 shows the frequency of single and married members included in the sample. It can be
seen that out of 200 samples, the number of married members dominate the number of single members
with the number of married members being 123 and that of single members being 77. Thus, married
members are more likely to purchase from Ice Vanilla fashion line than the single members.
Table 3: Frequency table of Marital Status
Marital Status Frequency Relative Frequency
Married 123 0.615
Single 77 0.385
Grand Total 200 1
2.3 Correlation Analysis
Table 4 gives the correlation matrix between age and net sales. It can be seen that the
correlation coefficient between age and net sales is 0.005 which is very less and close to zero. Thus, it
can be said that there is no relationship between age and net sales. Thus, the net sales of Ice vanilla do
not depend on the age of the customers.
Table 4: Correlation Matrix of Net Sales and age of the customers
Net Sales (A$) Age
Net Sales (A$) 1
Age 0.005 1
2.4 Comparative Study
From figure 1, it can be seen that the priority club card is mostly used by the customers. Figure
2 shows that Customers using the discount code (DC) has bought most number of items and have spend
more money on purchasing than the regular customers. Thus, in order to increase the sales, Ice-Vanilla
must introduce this discount code application system so that in lieu of redeeming the codes the
customers will buy more and ore products and the profit of the company will increase.

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AMEX MasterCard Priority Club
Card Visa
0
20
40
60
80
100
120
140
Comparison of Credit Card Types
Card Type
Frequency
Figure 1: Comparison of Credit Card Types
DC RE
0
20
40
60
80
100
120
140
160
Number of pieces bought by customer types
Customer Type
Number of Items Bought
Figure 2: Number of Pieces bought by customers

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DC RE
0
5000
10000
15000
20000
25000
Total amount spent by customer types
Customer Type
Amount Spent (in A$)
Figure 3: Amount Spent by Customers
3.0 Conclusion
It has been observed from the analysis that customers who have joined the loyalty programme
and are members of the Priority Club Cards are more prone to shopping from Ice-Vanilla. Thus, in
order to get the discounts that are provided to the priority club card holders people are shopping. This
explains why people with discount coupons are more prone to shopping than the regular customers.
Thus, the company should introduce discount facility to increase sales.