Difference between revisions of "ANLY482 AY2017-18T2 Group12: Project Overview"

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== Scope of Project ==
 
== Scope of Project ==
  
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The scope of the project includes the following phases:
 
The scope of the project includes the following phases:
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Phase 1: Data Preparation
 
Phase 1: Data Preparation
  
  
 
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Phase 2: Data Exploration & Model Planning
 
Phase 2: Data Exploration & Model Planning
  
  
 
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Phase 3: Data Analysis & Model Building
 
Phase 3: Data Analysis & Model Building
  
  
 
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Phase 4: Communication & Deliverables
 
Phase 4: Communication & Deliverables

Revision as of 12:23, 17 January 2018

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Background Data Source Methodology


ARTistique is a champion of the arts scene in Singapore. It offers a range of arts and cultural programmes and activities and seeks to nurture creative excellence. Through their programmes, ARTisque aims to support broad audience engagement and connect Singaporeans of all ages through the arts.

In supporting the arts scene, ARTistique has managed to quantify the qualitative in conducting a nation wide survey which captures sentiments and participation behaviours amongst Singaporeans. As such, with the initial buy-in towards data, ARTistique is interested in exploring the potential of their databank collection spanning the past decade.

Project Background and Problem

One of ARTistique's long term objective is to engage the wider populace through their arts and cultural programmes. However, participation rates has remained dismal despite ARTistique’s many initiatives. Therefore over the last few years, ARTistique has conducted numerous surveys to better understand consumers’ preference for the arts scene. Ultimately, ARTistique is interested in finding a sustainable way to broaden their membership base.

Through this project, ARTistique hopes to derive insights on factors that influence a person’s willingness to attend and pay for arts/cultural programmes.

Project Motivation

Currently in Progress


Project Objectives

Currently in Progress

Scope of Project


The scope of the project includes the following phases:



Phase 0: Discovery



Phase 1: Data Preparation



Phase 2: Data Exploration & Model Planning



Phase 3: Data Analysis & Model Building



Phase 4: Communication & Deliverables