ANLY482 AY2017-18 T2 Group 05 Project Overview

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ANLY482 HOMEPAGE

Background		Data Source		Methodology

Project Introduction and Background

Founded by a group of visionary financial technology payment experts in 2011, Red Dot Payment (RDP) has grown into a trusted online payment company providing premium payment solutions and expertise to the brightest merchants across Asia Pacific. Bringing best-in-class practices, RDP is the trusted FinTech partner of banks, merchants, payment schemes, payment gateways, non-banking financial institutions, security and fraud management system providers.

In 2016, RDP grew to handle millions of transactions across the globe, managed by a dedicated 40-person strong operation - with headquarters in Singapore, and offices in Thailand and Indonesia. Its products and services include - RDP connect, InstanCollect, InstanPay, InstanPromo and InstanToken.

Business Problem and Motivation

While RDP handles millions of transactions across the globe, the company has not yet been able to derive any conclusive analysis from its transaction data. There is untapped potential that is unexplored here, as they operate online and thus have the advantage of easily collecting large amounts of valuable data about their merchants as well as their customers. In addition, there are many data points captured previously with little insights derived, resulting in business decisions being driven mainly by intuition. Thus, by providing our team with their existing data, RDP hopes to gather a deeper understanding of their data. Moving forward, RDP hopes to make more informed decisions utilising the patterns we identify from the data.

Project Objectives

RDP has collected large amounts of data on transactions with their merchants and respective customers, but they are unaware of how to utilise this data to supplement their business operations. Our project aims to help RDP make sense of their data, to make profound observations from the datasets and to develop recommendations that can help guide their future business decisions.

There are three main focal points of our project:

1. To observe and develop meaningful insights from RDP’s datasets by performing exploratory data analysis.

2. To develop a visual dashboard. This will aid RDP in understanding some of their current business issues, as well as benchmark metrics and attributes that the company may not be currently analysing.

3. To formulate recommendations to improve their future business activities based on our findings.

Scope of Project

Task	Description
Gather Requirements	Confirm and gather sponsor requirements
Initial Research and Preparation	Conduct preliminary data exploration and define project objectives and scope
Project Proposal	Prepare project proposal and Wikipage
Data Exploration and Preparation	Ensuring that data is clean and can be analysed using analytical software; If necessary, transform data (e.g. remove outliers / recode variables for software to read; Conduct exploratory data analysis)
Model Building	Through research findings and experience, we will attach and test suitable models to our data
Project Revision (Mid-Term)	Assisted by RDP through obtaining feedback during our sponsor meeting
Mid-term Preparation	Prepare mid-term report, presentation and Wikipage
Model Validation and Refinement	Conduct hypothesis testing (e.g. Ensure the results are similar when attached to a different year of study) and refine analysis of data
Insights and Recommendations	Create visualisation from analysis results and formulate recommendations for our sponsor
Project Revision	Assisted by RDP through obtaining feedback during our sponsor meeting; Align our final deliverables with sponsor requirements
Final Preparation	Prepare abstract and full paper, final Wikipage update and final presentation with necessary deliverables