ANLY482 AY2016-17 T2 Group22: Project Overview
Project Overview
In this project our team will be working closely with the customer insights department of Binge to realise the potential of their existing data to better differentiate and understand the various segment of their customers who use their live betting platform. This will allow the business to enhance the understanding of its customers, improve gameplay with the introduction of new bet types, and to improve its revenue and resource allocation.
Business Problem
Being relatively new to the Internet space, especially for live betting, Binge hasn’t been able to do any conclusive analysis of this data. They have many users who perform live transactions, pre-match transactions or a combination of both. To fully reap the benefit of being online and collecting all this valuable data about their customers, Binge needs a system that helps them analyse this data and get consumer insights about the trends and patterns in live transactions.
Motivation
1.Understanding Customers Behaviour The ultimate goal of data analysis in this case is to get actionable insights that can help us understand customer behaviour in different stages and different events for live transactions. This will help Binge get a holistic picture of the carrying types of customer and their behaviours. With that in mind, they can alter their target market depending on the match or stage of the match. 2.Customer Profiling Put the increase rise to understand the customers Understanding its customer is an important step Customer insights
Our project is largely focussing on helping our client understand the different customer behaviours in a live transaction setting. We aim to gather insights after analysing the data and creating different customer profiles for different types of behaviours. This will help in understanding its customers better and can work with some level of certainty even in a live setting.
