ANLY482 AY2016-17 T2 Group 2 Project Overview Data Source

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Background		Data Source		Methodology

Data Source

To facilitate our analysis, Kaiso has provided us with datasets that consists of transaction data, concerts information data and customer demographics data.

1. musical15.csv (contains musical transaction data made via phone booking from April 2015 till March 2016)
2. musicalAug-Oct.csv (contains musical transaction data made via phone booking from August 2016 till October 2016)
3. musicalrb.csv (contains musical transaction data made via phone and internet booking from 25 October 2016 till November 2016)
4. concerts15.csv (contains concerts transaction data made via phone booking from April 2015 till March 2016)
5. concertsAug-Oct.csv (contains concerts transaction data made via phone booking from August 2016 till October 2016)
6. concertsrb.csv (contains concerts transaction data made via phone and internet booking from April 2015 till March 2016)
7. Concerts_Master.csv (contains all concerts information for 2016)
8. Concerts_Name.xlsx (contains all concerts information for 2015)
9. data_cst.xlsx (contains information of registered customers of Kaiso Ticketing)

Musical data (before launch)

Two datasets were provided for this, the first one is a year-long dataset and the second dataset is a two months long dataset. These datasets contains every instance of transaction data for customer purchases for that time period. These purchases were made via phone booking only, part of the remote purchasing services. Musical purchases can be in the form of local musicals or overseas musicals.

For the year-long dataset:

Data Field	Description
Account Number	The account number of the customer.
SoldDate	The date and time that the purchase was made
Product	Either Local or Overseas.
TicketAmount	The amount of the ticket that was purchased.
TicketType	The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
PerformanceDate	The date and time where the performance is held.

For the two month long dataset:

Data Field	Description
Dummy	The account number of the customer.
Time Attempt	The date and time that the purchase was made
Product Type	Either Local or Overseas.
Total Amount	The amount of the ticket that was purchased.
Type	The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
Performance Date	The date and time where the performance is held.
Seat Selection	Y means that the seat can be randomly allocated while N means that the customer wishes to choose the seat.

Musical data (after launch)

This dataset contains every instance of transaction data for customer purchases. These purchases were made via phone and internet purchasing, part of the remote purchasing services. Musical purchases can be in the form of local musicals or overseas musicals.

Data Field	Description
Account Number	The account number of the customer.
TicketStatus	Processing status of the purchase. A means that purchase has not been processed while S means that it has been processed.
Channel	I is for internet and V is for Phone.
SoldTime	The date and time that the purchase was made
Product	Either Local or Overseas.
TicketAmount	The amount of the ticket that was purchased.
TicketType	The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
PerformanceDate	The date and time where the performance is held.
Seat Selection	Y means that the seat can be randomly allocated while N means that the customer wishes to choose the seat.
Customer	‘old’ means that it is not an old customer while new means that it is a ‘new’ customer.

Concert data (before launch)

Likewise for concerts, two datasets were provided. The first one is a year-long dataset and the second dataset is a two months long dataset. These datasets contains every instance of transaction data for customer concert purchases for that time period. These purchases were made via phone purchasing only, part of the remote purchasing services.

For the year-long dataset:

Data Field	Description
Account Number	The account number of the customer.
TSOpened	The date and time that the purchase was made
SelectionName	The exact selection of concert ticket. (e.g. CAT1 Seat 2)
TicketAmount	The amount of the ticket that was purchased.
Rating	Rating of the concert group
PerformanceDate	The date and time where the concert is held.
PerformanceName	Concert group name and code
ConcertType	The kind of ticket type. For example, "CAT1", "CAT2", "VIP Box"

For the two month long dataset:

Data Field	Description
Dummy	The account number of the customer.
Purchasing Time	The date and time that the purchase was made
SelectionName	The exact selection of concert ticket. (e.g. CAT1 Seat 2)
Total Amount	The amount of the ticket that was purchased.
Event	Concert group name and code
Market	The kind of ticket type. For example, "CAT1", "CAT2", "VIP Box"

Concert data (after launch)

This dataset contains every instance of transaction data for customer concert purchases. These purchases were made via phone and internet purchasing, part of the remote purchasing services.

Data Field	Description
Account Number	The account number of the customer.
TicketStatus	Processing status of the purchase. A means that purchase has not been processed while S means that it has been processed.
Channel	I is for internet and V is for Phone.
OTDSales	Y means that the customer bought the ticket on the spot while N means otherwise.
ConcertType	The kind of ticket type. For example, "CAT1", "CAT2", "VIP Box"
Rating	Rating of the concert group
SelectionName	The exact selection of concert ticket. (e.g. CAT1 Seat 2)
ConcertCode	Code of the concert.
TicketAmount	The amount of the ticket that was purchased.
TicketType	The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
PurchaseTime	The date and time where the ticket was purchased.
Customer	‘old’ means that it is not an old customer while new means that it is a ‘new’ customer.

Concert Group Data (after launch)

Two datasets were provided and both contains concert groups information. The first file is for concerts which were held before the launch of the internet channel while the second file is for concerts which were held after the launch of the internet channel. .

Concert information before launch:

Data Field	Description
No.	Code of the concert.
GroupName	Name of the group which performed
Year	Year at which group performed

Concert information after launch:

Data Field	Description
ConcertCode	Code of the concert.
GroupCode	Code of the group.
ConcertDate	Date of the concert
ConcertTime	Time of the concert.
GroupName	Name of the group.
ConcertName	Name of the concert.

Customer Demographics Data

This dataset consists of customer details for each registered customer of Kaiso:

Data Field	Description
Dummy	The account number of the customer
Gender	The gender of the customer (Male or Female)
Nationality	The nationality of the customer. This is represented in country names (e.g. Singapore, Malaysia)
Age	The age of the customer.
New	0 means that this is an old customer that registered before the launch of the online site and 1 means that this is a new customer.