Difference between revisions of "ANLY482 AY2017-18T2 Group01: Project Management"

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[[File:DataCleaningEatigo.png |1000 px|centre|]] <br/>
 
[[File:DataCleaningEatigo.png |1000 px|centre|]] <br/>
  
After this, we conducted an exploratory data analysis. However, due to confidentiality reasons, we are not detailing the visualizations. If required, please free to contact us via our emails for more information [[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2017-18T2_Group01%3A_Team<font color="Blue">(Contact Details)</font>]]
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After this, we conducted an exploratory data analysis. However, due to confidentiality reasons, we are not detailing the visualizations. If required, please free to contact us for more information [[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2017-18T2_Group01%3A_Team<font color="Blue">(Contact Details)</font>]]
 
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<!-- Start Information -->
 
<!-- Start Information -->
<div style="background:#AE0000; line-height:0.3em; font-family:montserrat; font-size:120%; border-left:#FFE2C0 solid 15px;"><div style="border-left:#fff solid 5px; padding:15px;"><font color="#fff"><strong>Choosing the Clustering Technique</strong></font></div></div>
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<div style="background:#AE0000; line-height:0.3em; font-family:montserrat; font-size:120%; border-left:#FFE2C0 solid 15px;"><div style="border-left:#fff solid 5px; padding:15px;"><font color="#fff"><strong>Clustering Methodology</strong></font></div></div>
  
 
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'''Literature Review'''
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We followed the following method for our Clustering: <br/>
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[[File:ClusteringMethodEatigo.png|500 px|centre|]] <br/>
  
'''Model Preparation:'''
 
We plan to use clustering, market basket analysis and geospatial methods to derive our final clusters and recommendations. We are currently working on this.
 
  
'''Step 4:'''  
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'''Choosing the Clustering Method:''' <br/>
  
'''Analysis and Insights:'''
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'''Literature Review:'''
Based on our insights we will be developing a recommendation plan for Eatigo which will enable the company to increase bookings
 
  
  

Revision as of 21:40, 14 April 2018


Home

Team

Project Overview

Project Findings

Project Management

Documentation

Main Page


Project Outline

We went through the following steps to execute our project:

Project ScopeEatigo.png


Understanding the Business Problem

We first wanted to gather all information related to the booking journey of customers and the key influencing factors. To do this we carried out the following steps:
1. Spoke with eatigo employees beyond our sponsor (Sales Lead and Marketing Lead)
2. Interviewed eatigo customers to understand their typical priorities and their customer journey. Based on our understanding, we have mapped out the customer journey map as follows:

Journey final.png


Data Preparation and Cleaning

The next step involved zooming into the data sheets provided to us and understand each variable, it's sufficiency and relevance in helping us solve the business problem, and then preparing it for analysis. These were the steps in Data Preparation:

Eatigodataprep.png


The details of our work in each step has been summarized as follows:

DataCleaningEatigo.png


After this, we conducted an exploratory data analysis. However, due to confidentiality reasons, we are not detailing the visualizations. If required, please free to contact us for more information [(Contact Details)] .

Clustering Methodology


We followed the following method for our Clustering:

ClusteringMethodEatigo.png



Choosing the Clustering Method:

Literature Review:


Work Plan


We have prepared a work plan for our project as follows.

03.png

[Our discussions with the sponsor, professor and amongst ourselves ]