Data Mining Expert Using Orange
Budget: $200 – $400 HKD
Background
You have been hired by the Iron Bank of Braavos (IBB) to improve the sales of their call center. IBB has launched several marketing campaigns in which call-center employees call the bank customers to offer them banking products. IBB's major concern is how to efficiently assign customer support agents across dozens of campaigns. The cost per minute of a call made from the call center is estimated to be $1, and typical campaigns generate $0.1 in profits per minute.
Your job is to decide which customers to call for the rest of one of the current campaigns, in which credit card insurance is being sold. This insurance product is entirely new, and for now, it is only offered to customers that are contacted by IBB. IBB estimates that the sale of each insurance will generate $15 in profit after considering all costs not related to the call center. You have data from a random sample of customers that were called as part of the current campaign, which can be found in the file insurance-sample.csv Download insurance-sample.csv. See the data description below.
Variable Description
Id Customer’s unique ID.
Age Customer’s age.
Job Customer’s job.
Marital Customer’s marital status.
Education Customer’s education level.
Default Whether the customer has credit in default.
Balance Average annual balance of the customer in $.
HHInsurance Whether the customer has his/her house insured.
CarLoan Whether the customer has a vehicle loan.
Communication Means of communication with the customer.
CallDurationSecs Duration of the call (in seconds).
CardInsurance Whether the customer bought the credit card insurance after the call.
Assignment
Build a data science solution to decide which customers in insurance-use.csv Download insurance-use.csvto contact. Your decisions must be uploaded below in a file called "decisions.csv". The first column must have the header "Id" and contain the ID of all the customers in "insurance-use.csv". The second column must have the header "decision" and contain your decisions for all these customers: use a 1 for customers you decide to contact and a 0 for customers you decide not to contact. This is an example of how your file should look like: decisions.csv Download decisions.csv. IMPORTANT: You will receive no credits if the file you upload does not follow these guidelines, so please be careful.
Your grade will depend on the quality of your decisions compared to your classmates. Based on the information provided above, you must use your best judgement to determine what a "good quality" decision is.
You have been hired by the Iron Bank of Braavos (IBB) to improve the sales of their call center. IBB has launched several marketing campaigns in which call-center employees call the bank customers to offer them banking products. IBB's major concern is how to efficiently assign customer support agents across dozens of campaigns. The cost per minute of a call made from the call center is estimated to be $1, and typical campaigns generate $0.1 in profits per minute.
Your job is to decide which customers to call for the rest of one of the current campaigns, in which credit card insurance is being sold. This insurance product is entirely new, and for now, it is only offered to customers that are contacted by IBB. IBB estimates that the sale of each insurance will generate $15 in profit after considering all costs not related to the call center. You have data from a random sample of customers that were called as part of the current campaign, which can be found in the file insurance-sample.csv Download insurance-sample.csv. See the data description below.
Variable Description
Id Customer’s unique ID.
Age Customer’s age.
Job Customer’s job.
Marital Customer’s marital status.
Education Customer’s education level.
Default Whether the customer has credit in default.
Balance Average annual balance of the customer in $.
HHInsurance Whether the customer has his/her house insured.
CarLoan Whether the customer has a vehicle loan.
Communication Means of communication with the customer.
CallDurationSecs Duration of the call (in seconds).
CardInsurance Whether the customer bought the credit card insurance after the call.
Assignment
Build a data science solution to decide which customers in insurance-use.csv Download insurance-use.csvto contact. Your decisions must be uploaded below in a file called "decisions.csv". The first column must have the header "Id" and contain the ID of all the customers in "insurance-use.csv". The second column must have the header "decision" and contain your decisions for all these customers: use a 1 for customers you decide to contact and a 0 for customers you decide not to contact. This is an example of how your file should look like: decisions.csv Download decisions.csv. IMPORTANT: You will receive no credits if the file you upload does not follow these guidelines, so please be careful.
Your grade will depend on the quality of your decisions compared to your classmates. Based on the information provided above, you must use your best judgement to determine what a "good quality" decision is.
Related categories:
Big Data