Difference between revisions of "Red Dot Payment Data Source"

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''*Sample dataset shown in proposal, due to sensitivity of data''
 
''*Sample dataset shown in proposal, due to sensitivity of data''
==<div style="background: #DD597D; line-height: 0.3em; font-family:calibri;  border-left: #CFCFCF solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>Data Exploration and Preparation</strong></font></div></div>==
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==<div style="background: #DD597D; line-height: 0.3em; font-family:calibri;  border-left: #CFCFCF solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>Data Exploration and Preparation (In Progress)</strong></font></div></div>==
(In Progress)
 

Revision as of 13:07, 14 January 2018

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Background Data Source Methodology

Metadata

Currently, we have managed to obtain the transaction data of 2017 provided by RDP.

Below are the definitions of common terms used in their business model:

MERCHANT - A merchant is a business, often a retailer, that operates online. Each merchant has appointed RDP to be its payment processor to handle online transactions between them and their customers.

CUSTOMER - A customer is an entity that makes a transaction with the merchant. For a transaction to be made, a customer must make contact with a merchant and provide their payment details (e.g. Credit card number) to the merchant through RDP’s payment processing gateway.

The following table shows the list of variables in the data and their associated description:

NAME TYPE DESCRIPTION
date_created Date Data and time at which the transaction was carried out between merchant and customer
name Alphanumeric Name of merchant
amount of money Decimal Total transaction amount
currency CHAR(3) Currency of the transaction amount - usually in SGD or USD
reason_code Alphanumeric A unique code tagged to each reason for each approved or rejected transaction by customer
reason_code_description Alphanumeric Description of the reason for each approved or rejected transaction by customer
card_data1 Integer First 6 digits of customer’s card number - reveals details about the issuing bank and card type
card_data2 Integer Last 4 digits of customer’s card number
contact_ip_address Alphanumeric IP address of the customer
contact_ip_country Alphanumeric IP country of the customer


*Sample dataset shown in proposal, due to sensitivity of data

Data Exploration and Preparation (In Progress)