Difference between revisions of "Gambling Behaviour Pattern Analysis"

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[[AY1516_T2_Sport_Betting_at_Singapore_Pools|<font face ="Century Gothic" color="#007BBD"><strong>HOME</strong></font>]]
 
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[[AY1516_T2_Sport_Betting_at_Singapore_Pools_Team|<font  face ="Century Gothic" color="#FFFFFF"><strong>TEAM </strong></font>]]
 
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[[AY1516_T2_Sport_Betting_at_Singapore_Pools_Project_Overview|<font face ="Century Gothic" color="#FFFFFF"><strong> PROJECT OVERVIEW</strong></font>]]
 
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[[AY1516_T2_Sport_Betting_at_Singapore_Pools_Project_Management|<font  face ="Century Gothic" color="#FFFFFF"><strong>PROJECT MANAGEMENT </strong></font>]]
 
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[[AY1516_T2_Sport_Betting_at_Singapore_Pools_Documentation|<font  face ="Century Gothic" color="#FFFFFF"><strong> DOCUMENTATION</strong></font>]]
 
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<h1 color="#007BBD"> Promoting Responsible Gambling at Singapore Pools </h1>
 
[[File:Singapore_Pools_Logo.jpg ]]
 
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==<div style="background: #007BBD; line-height: 0.3em; border-left: #007BBD solid 13px;"><div style="border-left: #45E98F solid 5px; padding:15px;"><font face ="Century Gothic" color= "white" size="5">Project Motivation & Objective</font></div></div>==
 
 
The aim of our project is to allow Singapore Pools to better understand the gambling behaviours of their customers through the identification of gambling patterns, which can be unique across different clusters of individuals. Each cluster might have their own specific ways of splitting their bets, different churn rates, preference for a league, different decision making process, and ways of selecting their bet selections. Such behavioural patterns could possibly be linked back to certain demographics pertaining to the cluster, allowing us to further infer reasons behind their gambling habits, and hopefully could help us identify those irresponsible gamblers too. For the purpose of the project, the scope of our project is limited to the Sports Betting segment of customers who have opened betting accounts with Singapore Pools.
 
 
The objectives of our project is to:
 
 
(1) Profile their existing pool of customers through clustering analysis
 
 
(2) Create a data visualization of the consumer betting activity
 
 
(3) Build a dashboard to visualize the profiling and data points
 
 
 
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Latest revision as of 23:53, 7 September 2016