Difference between revisions of "ANLY482 AY2017-18T2 Group01: Project Management"
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[[File:Project ScopeEatigo.png|700 px|centre|]] | [[File:Project ScopeEatigo.png|700 px|centre|]] | ||
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Based on our understanding, we have mapped out the customer journey map as follows: | Based on our understanding, we have mapped out the customer journey map as follows: | ||
| − | [[File:Journey final.png|600 px|centre|]] | + | [[File:Journey final.png|600 px|centre|]] <br/> |
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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: | 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: | ||
| − | [[File:Eatigodataprep.png| | + | [[File:Eatigodataprep.png|600 px|centre|]] <br/> |
| − | The details of our work in each step has been summarized as follows: | + | The details of our work in each step has been summarized as follows:<br/> |
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| + | [[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>]] | |
| + | . | ||
| − | ''' | + | <!-- 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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| + | <br/> | ||
| + | '''Literature Review''' | ||
'''Model Preparation:''' | '''Model Preparation:''' | ||
Revision as of 21:37, 14 April 2018
We went through the following steps to execute our project:
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:
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:
The details of our work in each step has been summarized as follows:
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 [(Contact Details)] .
Literature Review
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:
Analysis and Insights: Based on our insights we will be developing a recommendation plan for Eatigo which will enable the company to increase bookings
We have prepared a work plan for our project as follows.
[Our discussions with the sponsor, professor and amongst ourselves ]
