Difference between revisions of "ANLY482 AY2016-17 T1 Group2: Project Overview"

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The objective of this project is to:
 
The objective of this project is to:
 
* Examine the underlying factors that affect the number of tickets sold per event
 
* Examine the underlying factors that affect the number of tickets sold per event
* Understanding the distribution of the Total Bet Count
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* Understanding the distribution of the number of tickets sold per event
* Understanding the relationship between the attribute and the Total Bet Count
+
* Understanding the relationship between the other attributes and the number of tickets sold per event
 
The project team also aims to develop an appropriate model to predict the number of tickets sold per event, based on the historical data provided by TixCo.
 
The project team also aims to develop an appropriate model to predict the number of tickets sold per event, based on the historical data provided by TixCo.
 
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Latest revision as of 08:01, 16 October 2016

Home

Team

Project Overview

Project Findings

Project Management

Documentation


Business Problem & Motivation

As TixCo is the only authorised ticketing service provider for certain events, it is crucial for them to cater to the demand of the mass public. Currently, TixCo is unable to anticipate the demand for the event organised and this post challenge for TixCo to fully capture the demand efficiently. As such, any uncaptured demand is an opportunity lost for TixCo. Hence, it is important for them to understanding the demand for an event.

For this, TixCo will need to:

  • Understand the trend and pattern of the number of tickets sold per event
  • Identifying the possible bottleneck for demand


Project Objective

The objective of this project is to:

  • Examine the underlying factors that affect the number of tickets sold per event
  • Understanding the distribution of the number of tickets sold per event
  • Understanding the relationship between the other attributes and the number of tickets sold per event

The project team also aims to develop an appropriate model to predict the number of tickets sold per event, based on the historical data provided by TixCo.


Datasets

The datasets provided by TixCo are:

  1. Profit & Loss (P&L) records
  2. Timetables of the events serviced
  3. Types of events

The data are presented in the form of Microsoft Excel worksheets and contains records over the time span of more than 6 years (Jan 2010 to May 2016).