Pilgrim Bank Case Draft
Content
Pilgrim Bank
Case A – Customer
Profitability
• The 95% confidence interval of the
population mean profit lies in the
range 108.50 and 114.51 (see
Worksheet A-1)
• Mean profit for Offline channel
customers is 110.79, while
customers using Online channel
generate 116.67 in profits. (see
Worksheet A-2)
• The profitability of customers may or may not
depend on demographics like age and income.
Hence, dropping the records with empty values,
thereby reducing the sample size by 8822, may
not be prudent.
• The mean profit by ignoring empty records is
127.17 (see worksheet A-3a)
• Other ways to manage empty records is replacing
the missing value with:
– a constant value
– a randomly generated value based on the distribution of
this data field’s non-missing values or based on
correlation with other data fields.
– The mean profit in all of these ways would remain
the same as the mean profit of the complete data set,
i.e. 114.51
Case B – Customer
Retention
Case C – Electronic Billpay
Case A – Customer
Profitability
• The 95% confidence interval of the
population mean profit lies in the
range 108.50 and 114.51 (see
Worksheet A-1)
• Mean profit for Offline channel
customers is 110.79, while
customers using Online channel
generate 116.67 in profits. (see
Worksheet A-2)
• The profitability of customers may or may not
depend on demographics like age and income.
Hence, dropping the records with empty values,
thereby reducing the sample size by 8822, may
not be prudent.
• The mean profit by ignoring empty records is
127.17 (see worksheet A-3a)
• Other ways to manage empty records is replacing
the missing value with:
– a constant value
– a randomly generated value based on the distribution of
this data field’s non-missing values or based on
correlation with other data fields.
– The mean profit in all of these ways would remain
the same as the mean profit of the complete data set,
i.e. 114.51
Case B – Customer
Retention
Case C – Electronic Billpay
